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Digital Commons @ USF > Muma College of Business > School of Accountancy > Theses and Dissertations
Theses/dissertations from 2024 2024.
Through the Looking Glass: Overcoming Algorithm Aversion in Accounting , David E. Watson
The Rise of Text Analysis: Using Machine Learning to Explain the Variation in Going Concern Accuracy , Yimei Zhang
Applying the Theory of Planned Behavior to Influence Auditors' Knowledge-Sharing Behavior , Xu Cheng
Retail Investors' Perceptions of Financial Disclosures on Social Media: An Experimental Investigation Using Twitter , Neal Michael Snow
Does the Format of Internal Control Disclosures Matter? An Experimental Investigation of Nonprofessional Investor Behavior , Amanuel Fekade Tadesse
Do Changing Reference Levels affect the Long-Term Effectiveness of Incentive Contracts? , Lee Michael Kersting
The Effects of Directional Audit Guidance and Estimation Uncertainty on Auditor Confirmation Bias and Professional Skepticism When Evaluating Fair Value Estimates , Norma R. Montague
Mitigating Escalation of Commitment: An Investigation of the Effects of Priming and Decision-Making Setting in Capital Project Continuation Decisions , Ann C. Dzuranin
Understanding and Improving Use-Tax Compliance: A Theory of Planned Behavior Approach , Christopher Robert Jones
Detecting Financial Statement Fraud: Three Essays on Fraud Predictors, Multi-Classifier Combination and Fraud Detection Using Data Mining , Johan L. Perols
Performance and Perception: An Experimental Investigation of the Impact of Continuous Reporting and Continuous Assurance on Individual Investors , Anita Reed
The Effect of Multidimensional Information Presentation on the Effectiveness and Efficiency of a Spatial Accounting Judgment , John K. Tan
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Published on January 11, 2019 by Shona McCombes . Revised on August 15, 2023 by Eoghan Ryan.
A thesis statement is a sentence that sums up the central point of your paper or essay . It usually comes near the end of your introduction .
Your thesis will look a bit different depending on the type of essay you’re writing. But the thesis statement should always clearly state the main idea you want to get across. Everything else in your essay should relate back to this idea.
You can write your thesis statement by following four simple steps:
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What is a thesis statement, placement of the thesis statement, step 1: start with a question, step 2: write your initial answer, step 3: develop your answer, step 4: refine your thesis statement, types of thesis statements, other interesting articles, frequently asked questions about thesis statements.
A thesis statement summarizes the central points of your essay. It is a signpost telling the reader what the essay will argue and why.
The best thesis statements are:
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The thesis statement generally appears at the end of your essay introduction or research paper introduction .
The spread of the internet has had a world-changing effect, not least on the world of education. The use of the internet in academic contexts and among young people more generally is hotly debated. For many who did not grow up with this technology, its effects seem alarming and potentially harmful. This concern, while understandable, is misguided. The negatives of internet use are outweighed by its many benefits for education: the internet facilitates easier access to information, exposure to different perspectives, and a flexible learning environment for both students and teachers.
You should come up with an initial thesis, sometimes called a working thesis , early in the writing process . As soon as you’ve decided on your essay topic , you need to work out what you want to say about it—a clear thesis will give your essay direction and structure.
You might already have a question in your assignment, but if not, try to come up with your own. What would you like to find out or decide about your topic?
For example, you might ask:
After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process .
Now you need to consider why this is your answer and how you will convince your reader to agree with you. As you read more about your topic and begin writing, your answer should get more detailed.
In your essay about the internet and education, the thesis states your position and sketches out the key arguments you’ll use to support it.
The negatives of internet use are outweighed by its many benefits for education because it facilitates easier access to information.
In your essay about braille, the thesis statement summarizes the key historical development that you’ll explain.
The invention of braille in the 19th century transformed the lives of blind people, allowing them to participate more actively in public life.
A strong thesis statement should tell the reader:
The final thesis statement doesn’t just state your position, but summarizes your overall argument or the entire topic you’re going to explain. To strengthen a weak thesis statement, it can help to consider the broader context of your topic.
These examples are more specific and show that you’ll explore your topic in depth.
Your thesis statement should match the goals of your essay, which vary depending on the type of essay you’re writing:
If you want to know more about AI tools , college essays , or fallacies make sure to check out some of our other articles with explanations and examples or go directly to our tools!
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A thesis statement is a sentence that sums up the central point of your paper or essay . Everything else you write should relate to this key idea.
The thesis statement is essential in any academic essay or research paper for two main reasons:
Without a clear thesis statement, an essay can end up rambling and unfocused, leaving your reader unsure of exactly what you want to say.
Follow these four steps to come up with a thesis statement :
The thesis statement should be placed at the end of your essay introduction .
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Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul University.
The term investment thesis refers to a reasoned argument for a particular investment strategy, backed up by research and analysis. Investment theses are commonly prepared by (and for) individual investors and businesses. These formal written documents may be prepared by analysts or other financial professionals for presentation to their clients.
As noted above, an investment thesis is a written document that provides information about a potential investment. It is a research- and analysis-based proposal that is usually drafted by an investment or financial professional to provide insight into investments and to pitch investment ideas. In some cases, the investor will draft their own investment thesis, as is the case with venture capitalists and private equity firms.
This thesis can be used as a strategic decision-making tool. Investors and companies can use a thesis to decide whether or not to pursue a particular investment, such as a stock or acquiring another company. Or it can be used as a way to look back and analyze why a particular decision was made in the first place—and whether it was the right one. Putting things in writing can have a huge impact on the direction of a potential investment.
Let's say an investor purchases a stock based on the investment thesis that the stock is undervalued . The thesis states that the investor plans to hold the stock for three years, during which its price will rise to reflect its true worth. At that point, the stock will be sold at a profit. A year later, the stock market crashes, and the investor's pick crashes with it. The investor recalls the investment thesis, relies on the integrity of its conclusions, and continues to hold the stock.
That is a sound strategy unless some event that is totally unexpected and entirely absent from the investment thesis occurs. Examples of these might include the 2007-2008 financial crisis or the Brexit vote that forced the United Kingdom out of the European Union (EU) in 2016. These were highly unexpected events, and they might affect someone's investment thesis.
If you think your investment thesis holds up, stick with it through thick and thin.
An investment thesis is generally formally documented, but there are no universal standards for the contents. Some require fast action and are not elaborate compositions. When a thesis concerns a big trend, such as a global macro perspective, the investment thesis may be well documented and might even include a fair amount of promotional materials for presentation to potential investing partners.
Portfolio management is now a science-based discipline, not unlike engineering or medicine. As in those fields, breakthroughs in basic theory, technology, and market structures continuously translate into improvements in products and in professional practices. The investment thesis has been strengthened with qualitative and quantitative methods that are now widely accepted.
As with any thesis, an idea may surface but it is methodical research that takes it from an abstract concept to a recommendation for action. In the world of investments, the thesis serves as a game plan.
Although there's no industry standard, there are usually some common components to this document. Remember, an investment thesis is generally a proposal that is based on research and analysis. As such, it is meant to be a guide about the viability of a particular investment.
Most investment theses include (but aren't limited to) the following information:
Some theses also try to answer some key questions, including:
Putting everything in writing can help investors make more informed decisions. For instance, a company's management team can use a thesis to decide whether or not to pursue the acquisition of a rival. The thesis may highlight whether the target's vision aligns with the acquirer or it may identify opportunities for growth in the market.
Keep in mind that the complexity of an investment thesis depends on the type of investor involved and the nature of the investment. So the investment thesis for a corporation looking to acquire a rival may be more in-depth and complicated compared to that of an individual investor who wants to develop an investment portfolio.
Portfolio managers and investment companies often post information about their investment theses on their websites. The following are just two examples.
Morgan Stanley ( MS ) is one of the world's leading financial services firms. It offers investment management services, investment banking, securities, and wealth management services. According to the company, it has five steps that make up its investment process, including idea generation, quality assessment, valuation, risk management , and portfolio construction.
When it comes to developing its investment thesis, the company tries to answer three questions as part of its quality assessment step:
Connetic Adventures is a venture capital firm that invests in early-stage companies. The company uses data to develop its investment thesis, which is made up of three pillars. According to its blog, there were three pillars or principles that contributed to Connetic's venture capital investment strategy. These included diversification, value, and follow-on—each of which comes with a pro and con.
An investment thesis is a written proposal or research-based analysis of why investors or companies should pursue an investment. In some cases, it may also serve as a historical guide as to whether the investment was a good move or not. Whatever the reason, an investment thesis allows investors to make better, more informed decisions about whether to put their money into a specific investment. This written document provides insight into what the investment is, the goals of the investment, any associated costs, the potential for returns, as well as any possible risks and losses that may result.
An investment thesis is important for anyone who wants to invest their money. Individual investors can use a thesis to decide whether to purchase stock in a particular company and what strategy they should use, whether it's a buy-and-hold strategy or one where they only have the stock for a short period of time. A company can craft its own investment thesis to help weigh out whether an acquisition or growth strategy is worthwhile.
It's important to put your investment thesis in writing. Seeing your proposal in print can help you make a better decision. When you're writing your investment thesis, be sure to be clear and concise. Make sure you do your research and include any facts and figures that can help you make your decision. Be sure to include your goals, the potential for upside, and any risks that you may come across. Try to ask and answer some key questions, including whether the investment meets your investment goals and what could go wrong if you go ahead with the deal.
It's always important to have a plan, especially when it comes to investing. After all, you are putting your money at risk. Having an investment thesis can help you make more informed decisions about whether a potential investment is worth your while. Make sure you put your thesis in writing and answer some key questions about your goals, costs, and potential outcomes. Having a concrete proposal in place can spell the difference between earning returns and losing all your money. And that's if your thesis supports the investment in the first place.
Harvard Business School. " Writing a Credible Investment Thesis ."
Lanturn. " What is an Investment Thesis and 3 Tips to Make One ."
Morgan Stanley. " Global Opportunity ."
Medium. " The Data That Built Our Fund's Investment Thesis ."
Financial Innovation volume 7 , Article number: 47 ( 2021 ) Cite this article
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This paper presents an analytical framework that describes the business model of banks. It draws on the classical theory of banking and the literature on digital transformation. It provides an explanation for existing trends and, by extending the theory of the banking firm, it illustrates how financial intermediation will be impacted by innovative financial technology applications. It further reviews the options that established banks will have to consider in order to mitigate the threat to their profitability. Deposit taking and lending are considered in the context of the challenge made from shadow banking and the all-digital banks. The paper contributes to an understanding of the future of banking, providing a framework for scholarly empirical investigation. In the discussion, four possible strategies are proposed for market participants, (1) customer retention, (2) customer acquisition, (3) banking as a service and (4) social media payment platforms. It is concluded that, in an increasingly digital world, trust will remain at the core of banking. That said, liquidity transformation will still have an important role to play. The nature of banking and financial services, however, will change dramatically.
The bank of the future will have several different manifestations. This paper extends theory to explain the impact of financial technology and the Internet on the nature of banking. It provides an analytical framework for academic investigation, highlighting the trends that are shaping scholarly research into these dynamics. To do this, it re-examines the nature of financial intermediation and transactions. It explains how digital banking will be structurally, as well as physically, different from the banks described in the literature to date. It does this by extending the contribution of Klein ( 1971 ), on the theory of the banking firm. It presents suggested strategies for incumbent, and challenger banks, and how banking as a service and social media payment will reshape the competitive landscape.
The banking industry has been evolving since Banca Monte dei Paschi di Siena opened its doors in 1472. Its leveraged business model has proved very scalable over time, but it is now facing new challenges. Firstly, its book to capital ratios, as documented by Berger et al ( 1995 ), have been consistently falling since 1840. This trend continues as competition has increased. In the past decade, the industry has experienced declines in profitability as measured by return on tangible equity. This is partly the result of falling leverage and fee income and partly due to the net interest margin (connected to traditional lending activity). These trends accelerated following the 2008 financial crisis. At the same time, technology has made banks more competitive. Advances in digital technology are changing the very nature of banking. Banks are now distributing services via mobile technology. A prolonged period of very low interest rates is also having an impact. To sustain their profitability, Brei et al. ( 2020 ) note that many banks have increased their emphasis on fee-generating services.
As Fama ( 1980 ) explains, a bank is an intermediary. The Internet is, however, changing the way financial service providers conduct their role. It is fundamentally changing the nature of the banking. This in turn is changing the nature of banking services, and the way those services are delivered. As a consequence, in order to compete in the changing digital landscape, banks have to adapt. The banks of the future, both incumbents and challengers, need to address liquidity transformation, data, trust, competition, and the digitalization of financial services. Against this backdrop, incumbent banks are focused on reinventing themselves. The challenger banks are, however, starting with a blank canvas. The research questions that these dynamics pose need to be investigated within the context of the theory of banking, hence the need to revise the existing analytical framework.
Banks perform payment and transfer functions for an economy. The Internet can now facilitate and even perform these functions. It is changing the way that transactions are recorded on ledgers and is facilitating both public and private digital currencies. In the past, banks operated in a world of information asymmetry between themselves and their borrowers (clients), but this is changing. This differential gave one bank an advantage over another due to its knowledge about its clients. The digital transformation that financial technology brings reduces this advantage, as this information can be digitally analyzed.
Even the nature of deposits is being transformed. Banks in the future will have to accept deposits and process transactions made in digital form, either Central Bank Digital Currencies (CBDC) or cryptocurrencies. This presents a number of issues: (1) it changes the way financial services will be delivered, (2) it requires a discussion on resilience, security and competition in payments, (3) it provides a building block for better cross border money transfers and (4) it raises the question of private and public issuance of money. Braggion et al ( 2018 ) consider whether these represent a threat to financial stability.
The academic study of banking began with Edgeworth ( 1888 ). He postulated that it is based on probability. In this respect, the nature of the business model depends on the probability that a bank will not be called upon to meet all its liabilities at the same time. This allows banks to lend more than they have in deposits. Because of the resultant mismatch between long term assets and short-term liabilities, a bank’s capital structure is very sensitive to liquidity trade-offs. This is explained by Diamond and Rajan ( 2000 ). They explain that this makes a bank a’relationship lender’. In effect, they suggest a bank is an intermediary that has borrowed from other investors.
Diamond and Rajan ( 2000 ) argue a lender can negotiate repayment obligations and that a bank benefits from its knowledge of the customer. As shall be shown, the new generation of digital challenger banks do not have the same tradeoffs or knowledge of the customer. They operate more like a broker providing a platform for banking services. This suggests that there will be more than one type of bank in the future and several different payment protocols. It also suggests that banks will have to data mine customer information to improve their understanding of a client’s financial needs.
The key focus of Diamond and Rajan ( 2000 ), however, was to position a traditional bank is an intermediary. Gurley and Shaw ( 1956 ) describe how the customer relationship means a bank can borrow funds by way of deposits (liabilities) and subsequently use them to lend or invest (assets). In facilitating this mediation, they provide a service whereby they store money and provide a mechanism to transmit money. With improvements in financial technology, however, money can be stored digitally, lenders and investors can source funds directly over the internet, and money transfer can be done digitally.
A review of financial technology and banking literature is provided by Thakor ( 2020 ). He highlights that financial service companies are now being provided by non-deposit taking contenders. This paper addresses one of the four research questions raised by his review, namely how theories of financial intermediation can be modified to accommodate banks, shadow banks, and non-intermediated solutions.
To be a bank, an entity must be authorized to accept retail deposits. A challenger bank is, therefore, still a bank in the traditional sense. It does not, however, have the costs of a branch network. A peer-to-peer lender, meanwhile, does not have a deposit base and therefore acts more like a broker. This leads to the issue that this paper addresses, namely how the banks of the future will conduct their intermediation.
In order to understand what the bank of the future will look like, it is necessary to understand the nature of the aforementioned intermediation, and the way it is changing. In this respect, there are two key types of intermediation. These are (1) quantitative asset transformation and, (2) brokerage. The latter is a common model adopted by challenger banks. Figure 1 depicts how these two types of financial intermediation match savers with borrowers. To avoid nuanced distinction between these two types of intermediation, it is common to classify banks by the services they perform. These can be grouped as either private, investment, or commercial banking. The service sub-groupings include payments, settlements, fund management, trading, treasury management, brokerage, and other agency services.
How banks act as intermediaries between lenders and borrowers. This function call also be conducted by intermediaries as brokers, for example by shadow banks. Disintermediation occurs over the internet where peer-to-peer lenders match savers to lenders
Financial technology has the ability to disintermediate the banking sector. The competitive pressures this results in will shape the banks of the future. The channels that will facilitate this are shown in Fig. 2 , namely the Internet and/or mobile devices. Challengers can participate in this by, (1) directly matching borrows with savers over the Internet and, (2) distributing white labels products. The later enables banking as a service and avoids the aforementioned liquidity mismatch.
The strategic options banks have to match lenders with borrowers. The traditional and challenger banks are in the same space, competing for business. The distributed banks use the traditional and challenger banks to white label banking services. These banks compete with payment platforms on social media. The Internet heralds an era of banking as a service
There are also physical changes that are being made in the delivery of services. Bricks and mortar branches are in decline. Mobile banking, or m-banking as Liu et al ( 2020 ) describe it, is an increasingly important distribution channel. Robotics are increasingly being used to automate customer interaction. As explained by Vishnu et al ( 2017 ), these improve efficiency and the quality of execution. They allow for increased oversight and can be built on legacy systems as well as from a blank canvas. Application programming interfaces (APIs) are bringing the same type of functionality to m-banking. They can be used to authorize third party use of banking data. How banks evolve over time is important because, according to the OECD, the activity in the financial sector represents between 20 and 30 percent of developed countries Gross Domestic Product.
In summary, financial technology has evolved to a level where online banks and banking as a service are challenging incumbents and the nature of banking mediation. Banking is rapidly transforming because of changes in such technology. At the same time, the solving of the double spending problem, whereby digital money can be cryptographically protected, has led to the possibility that paper money will become redundant at some point in the future. A theoretical framework is required to understand this evolving landscape. This is discussed next.
In financial theory, as eloquently explained by Fama ( 1980 ), banking provides an accounting system for transactions and a portfolio system for the storage of assets. That will not change for the banks of the future. Fama ( 1980 ) explains that their activities, in an unregulated state, fulfil the Modigliani–Miller ( 1959 ) theorem of the irrelevance of the financing decision. In practice, traditional banks compete for deposits through the interest rate they offer. This makes the transactional element dependent on the resulting debits and credits that they process, essentially making banks into bookkeeping entities fulfilling the intermediation function. Since this is done in response to competitive forces, the general equilibrium is a passive one. As such, the banking business model is vulnerable to disruption, particularly by innovation in financial technology.
A bank is an idiosyncratic corporate entity due to its ability to generate credit by leveraging its balance sheet. That balance sheet has assets on one side and liabilities on the other, like any corporate entity. The assets consist of cash, lending, financial and fixed assets. On the other side of the balance sheet are its liabilities, deposits, and debt. In this respect, a bank’s equity and its liabilities are its source of funds, and its assets are its use of funds. This is explained by Klein ( 1971 ), who notes that a bank’s equity W , borrowed funds and its deposits B is equal to its total funds F . This is the same for incumbents and challengers. This can be depicted algebraically if we let incumbents be represented by Φ and challengers represented by Γ:
Klein ( 1971 ) further explains that a bank’s equity is therefore made up of its share capital and unimpaired reserves. The latter are held by a bank to protect the bank’s deposit clients. This part is also mandated by regulation, so as to protect customers and indeed the entire banking system from systemic failure. These protective measures include other prudential requirements to hold cash reserves or other liquid assets. As shall be shown, banking services can be performed over the Internet without these protections. Banking as a service, as this phenomenon known, is expected to increase in the future. This will change the nature of the protection available to clients. It will change the way banks transform assets, explained next.
A bank’s deposits are said to be a function of the proportion of total funds obtained through the issuance of the ith deposit type and its total funds F , represented by α i . Where deposits, represented by Bs , are made in the form of Bs (i = 1 *s n) , they generate a rate of interest. It follows that Si Bs = B . As such,
Therefor it can be said that,
The importance of Eq. 3 is that the balance sheet can be leveraged by the issuance of loans. It should be noted, however, that not all loans are returned to the bank in whole or part. Non-performing loans reduce the asset side of a bank’s balance sheet and act as a constraint on capital, and therefore new lending. Clearly, this is not the case with banking as a service. In that model, loans are brokered. That said, with the traditional model, an advantage of financial technology is that it facilitates the data mining of clients’ accounts. Lending can therefore be more targeted to borrowers that are more likely to repay, thereby reducing non-performing loans. Pari passu, the incumbent bank of the future will therefore have a higher risk-adjusted return on capital. In practice, however, banking as a service will bring greater competition from challengers and possible further erosion of margins. Alternatively, some banks will proactively engage in partnerships and acquisitions to maintain their customer base and address the competition.
A bank must have reserves to meet the demand of customers demanding their deposits back. The amount of these reserves is a key function of banking regulation. The Basel Committee on Banking Supervision mandates a requirement to hold various tiers of capital, so that banks have sufficient reserves to protect depositors. The Committee also imposes a framework for mitigating excessive liquidity risk and maturity transformation, through a set Liquidity Coverage Ratio and Net Stable Funding Ratio.
Recent revisions of theory, because of financial technology advances, have altered our understanding of banking intermediation. This will impact the competitive landscape and therefor shape the nature of the bank of the future. In this respect, the threat to incumbent banks comes from peer-to-peer Internet lending platforms. These perform the brokerage function of financial intermediation without the use of the aforementioned banking balance sheet. Unlike regulated deposit takers, such lending platforms do not create assets and do not perform risk and asset transformation. That said, they are reliant on investors who do not always behave in a counter cyclical way.
Financial technology in banking is not new. It has been used to facilitate electronic markets since the 1980’s. Thakor ( 2020 ) refers to three waves of application of financial innovation in banking. The advent of institutional futures markets and the changing nature of financial contracts fundamentally changed the role of banks. In response to this, academics extended the concept of a bank into an entity that either fulfills the aforementioned functions of a broker or a qualitative asset transformer. In this respect, they connect the providers and users of capital without changing the nature of the transformation of the various claims to that capital. This transformation can be in the form risk transfer or the application of leverage. The nature of trading of financial assets, however, is changing. Price discovery can now be done over the Internet and that is moving liquidity from central marketplaces (like the stock exchange) to decentralized ones.
Alongside these trends, in considering what the bank of the future will look like, it is necessary to understand the unregulated lending market that competes with traditional banks. In this part of the lending market, there has been a rise in shadow banks. The literature on these entities is covered by Adrian and Ashcraft ( 2016 ). Shadow banks have taken substantial market share from the traditional banks. They fulfil the brokerage function of banks, but regulators have only partial oversight of their risk transformation or leverage. The rise of shadow banks has been facilitated by financial technology and the originate to distribute model documented by Bord and Santos ( 2012 ). They use alternative trading systems that function as electronic communication networks. These facilitate dark pools of liquidity whereby buyers and sellers of bonds and securities trade off-exchange. Since the credit crisis of 2008, total broker dealer assets have diverged from banking assets. This illustrates the changed lending environment.
In the disintermediated market, banking as a service providers must rely on their equity and what access to funding they can attract from their online network. Without this they are unable to drive lending growth. To explain this, let I represent the online network. Extending Klein ( 1971 ), further let Ψ represent banking as a service and their total funds by F . This state is depicted as,
Theoretically, it can be shown that,
Shadow banks, and those disintermediators who bypass the banking system, have an advantage in a world where technology is ubiquitous. This becomes more apparent when costs are considered. Buchak et al. ( 2018 ) point out that shadow banks finance their originations almost entirely through securitization and what they term the originate to distribute business model. Diversifying risk in this way is good for individual banks, as banking risks can be transferred away from traditional banking balance sheets to institutional balance sheets. That said, the rise of securitization has introduced systemic risk into the banking sector.
Thus, we can see that the nature of banking capital is changing and at the same time technology is replacing labor. Let A denote the number of transactions per account at a period in time, and C denote the total cost per account per time period of providing the services of the payment mechanism. Klein ( 1971 ) points out that, if capital and labor are assumed to be part of the traditional banking model, it can be observed that,
It can therefore be observed that the total service charge per account at a period in time, represented by S, has a linear and proportional relationship to bank account activity. This is another variable that financial technology can impact. According to Klein ( 1971 ) this can be summed up in the following way,
where d is the basic bank decision variable, the service charge per transaction. Once again, in an automated and digital environment, financial technology greatly reduces d for the challenger banks. Swankie and Broby ( 2019 ) examine the impact of Artificial Intelligence on the evaluation of banking risk and conclude that it improves such variables.
Meanwhile, the traditional banking model can be expressed as a product of the number of accounts, M , and the average size of an account, N . This suggests a banks implicit yield is it rate of interest on deposits adjusted by its operating loss in each time period. This yield is generated by payment and loan services. Let R 1 depict this. These can be expressed as a fraction of total demand deposits. This is depicted by Klein ( 1971 ), if one assumes activity per account is constant, as,
As a result, whether a bank is structured with traditional labor overheads or built digitally, is extremely relevant to its profitability. The capital and labor of tradition banks, depicted as Φ i , is greater than online networks, depicted as I i . As such, the later have an advantage. This can be shown as,
What Klein (1972) failed to highlight is that the banking inherently involves leverage. Diamond and Dybving (1983) show that leverage makes bank susceptible to run on their liquidity. The literature divides these between adverse shock events, as explained by Bernanke et al ( 1996 ) or moral hazard events as explained by Demirgu¨¸c-Kunt and Detragiache ( 2002 ). This leverage builds on the balance sheet mismatch of short-term assets with long term liabilities. As such, capital and liquidity are intrinsically linked to viability and solvency.
The way capital and liquidity are managed is through credit and default management. This is done at a bank level and a supervisory level. The Basel Committee on Banking Supervision applies capital and leverage ratios, and central banks manage interest rates and other counter-cyclical measures. The various iterations of the prudential regulation of banks have moved the microeconomic theory of banking from the modeling of risk to the modeling of imperfect information. As mentioned, shadow and disintermediated services do not fall under this form or prudential regulation.
The relationship between leverage and insolvency risk crucially depends on the degree of banks total funds F and their liability structure L . In this respect, the liability structure of traditional banks is also greater than online networks which do not have the same level of available funds, depicted as,
Diamond and Dybvig ( 1983 ) observe that this liability structure is intimately tied to a traditional bank’s assets. In this respect, a bank’s ability to finance its lending at low cost and its ability to achieve repayment are key to its avoidance of insolvency. Online networks and/or brokers do not have to finance their lending, simply source it. Similarly, as brokers they do not face capital loss in the event of a default. This disintermediates the bank through the use of a peer-to-peer environment. These lenders and borrowers are introduced in digital way over the internet. Regulators have taken notice and the digital broker advantage might not last forever. As a result, the future may well see greater cooperation between these competing parties. This also because banks have valuable operational experience compared to new entrants.
It should also be observed that bank lending is either secured or unsecured. Interest on an unsecured loan is typically higher than the interest on a secured loan. In this respect, incumbent banks have an advantage as their closeness to the customer allows them to better understand the security of the assets. Berger et al ( 2005 ) further differentiate lending into transaction lending, relationship lending and credit scoring.
As has been demonstrated, the bank of the future in its various manifestations will be a consequence of the evolution of the current banking business model. There has been considerable scholarly investigation into the uniqueness of this business model, but less so on its changing nature. Song and Thakor ( 2010 ) are helpful in this respect and suggest that there are three aspects to this evolution, namely competition, complementary and co-evolution. Although liquidity transformation is evolving, it remains central to a bank’s role.
All the dynamics mentioned are relevant to the economy. There is considerable evidence, as outlined by Levine ( 2001 ), that market liberalization has a causal impact on economic growth. The impact of technology on productivity should prove positive and enhance the functioning of the domestic financial system. Indeed, market liberalization has already reshaped banking by increasing competition. New fee based ancillary financial services have become widespread, as has the proprietorial use of balance sheets. Risk has been securitized and even packaged into trade-able products.
Challenger banks are developing in a complementary way with the incumbents. The latter have an advantage over new entrants because they have information on their customers. The liquidity insurance model, proposed by Diamond and Dybvig ( 1983 ), explains how such banks have informational advantages over exchange markets. That said, financial technology changes these dynamics. It if facilitating the processing of financial data by third parties, explained in greater detail in the section on Open Banking.
At the same time, financial technology is facilitating banking as a service. This is where financial services are delivered by a broker over the Internet without resort to the balance sheet. This includes roboadvisory asset management, peer to peer lending, and crowd funding. Its growth will be facilitated by Open Banking as it becomes more geographically adopted. Figure 3 illustrates how these business models are disintermediating the traditional banking role and matching burrowers and savers.
The traditional view of banks ecosystem between savers and borrowers, atop the Internet which is matching savers and borrowers directly in a peer-to-peer way. The Klein ( 1971 ) theory of the banking firm does not incorporate the mirrored dynamics, and as such needs to be extended to reflect the digital innovation that impacts both borrowers and severs in a peer-to-peer environment
Meanwhile, the banking sector is co-evolving alongside a shadow banking phenomenon. Lenders and borrowers are interacting, but outside of the banking sector. This is a concern for central banks and banking regulators, as the lending is taking place in an unregulated environment. Shadow banking has grown because of financial technology, market liberalization and excess liquidity in the asset management ecosystem. Pozsar and Singh ( 2011 ) detail the non-bank/bank intersection of shadow banking. They point out that shadow banking results in reverse maturity transformation. Incumbent banks have blurred the distinction between their use of traditional (M2) liabilities and market-based shadow banking (non-M2) liabilities. This impacts the inter-generational transfers that enable a bank to achieve interest rate smoothing.
Securitization has transformed the risk in the banking sector, transferring it to asset management institutions. These include structured investment vehicles, securities lenders, asset backed commercial paper investors, credit focused hedge and money market funds. This in turn has led to greater systemic risk, the result of the nature of the non-traded liabilities of securitized pooling arrangements. This increased risk manifested itself in the 2008 credit crisis.
Commercial pressures are also shaping the banking industry. The drive for cost efficiency has made incumbent banks address their personally costs. Bank branches have been closed as technology has evolved. Branches make it easier to withdraw or transfer deposits and challenger banks are not as easily able to attract new deposits. The banking sector is therefore looking for new point of customer contact, such as supermarkets, post offices and social media platforms. These structural issues are occurring at the same time as the retail high street is also evolving. Banks have had an aggressive roll out of automated telling machines and a reduction in branches and headcount. Online digital transactions have now become the norm in most developed countries.
The financing of banks is also evolving. Traditional banks have tended to fund illiquid assets with short term and unstable liquid liabilities. This is one of the key contributors to the rise to the credit crisis of 2008. The provision of liquidity as a last resort is central to the asset transformation process. In this respect, the banking sector experienced a shock in 2008 in what is termed the credit crisis. The aforementioned liquidity mismatch resulted in the system not being able to absorb all the risks associated with subprime lending. Central banks had to resort to quantitative easing as a result of the failure of overnight funding mechanisms. The image of the entire banking sector was tarnished, and the banks of the future will have to address this.
The future must learn from the mistakes of the past. The structural weakness of the banking business model cannot be solved. That said, the latest Basel rules introduce further risk mitigation, improved leverage ratios and increased levels of capital reserve. Another lesson of the credit crisis was that there should be greater emphasis on risk culture, governance, and oversight. The independence and performance of the board, the experience and the skill set of senior management are now a greater focus of regulators. Internal controls and data analysis are increasingly more robust and efficient, with a greater focus on a banks stable funding ratio.
Meanwhile, the very nature of money is changing. A digital wallet for crypto-currencies fulfills much the same storage and transmission functions of a bank; and crypto-currencies are increasing being used for payment. Meanwhile, in Sweden, stores have the right to refuse cash and the majority of transactions are card based. This move to credit and debit cards, and the solving of the double spending problem, whereby digital money can be crypto-graphically protected, has led to the possibility that paper money could be replaced at some point in the future. Whether this might be by replacement by a CBDC, or decentralized digital offering, is of secondary importance to the requirement of banks to adapt. Whether accommodating crytpo-currencies or CBDC’s, Kou et al. ( 2021 ) recommend that banks keep focused on alternative payment and money transferring technologies.
Central banks also have to adapt. To limit disintermediation, they have to ensure that the economic design of their sponsored digital currencies focus on access for banks, interest payment relative to bank policy rate, banking holding limits and convertibility with bank deposits. All these developments have implications for banks, particularly in respect of funding, the secure storage of deposits and how digital currency interacts with traditional fiat money.
Against the backdrop of all these trends and changes, a new dynamic is shaping the future of the banking sector. This is termed Open Banking, already briefly mentioned. This new way of handling banking data protocols introduces a secure way to give financial service companies consensual access to a bank’s customer financial information. Figure 4 illustrates how this works. Although a fairly simple concept, the implications are important for the banking industry. Essentially, a bank customer gives a regulated API permission to securely access his/her banking website. That is then used by a banking as a service entity to make direct payments and/or download financial data in order to provide a solution. It heralds an era of customer centric banking.
How Open Banking operates. The customer generates data by using his bank account. A third party provider is authorized to access that data through an API request. The bank confirms digitally that the customer has authorized the exchange of data and then fulfills the request
Open Banking was a response to the documented inertia around individual’s willingness to change bank accounts. Following the Retail Banking Review in the UK, this was addressed by lawmakers through the European Union’s Payment Services Directive II. The legislation was designed to make it easier to change banks by allowing customers to delegate authority to transfer their financial data to other parties. As a result of this, a whole host of data centric applications were conceived. Open banking adds further momentum to reshaping the future of banking.
Open Banking has a number of quite revolutionary implications. It was started so customers could change banks easily, but it resulted in some secondary considerations which are going to change the future of banking itself. It gives a clear view of bank financing. It allows aggregation of finances in one place. It also allows can give access to attractive offerings by allowing price comparisons. Open Banking API’s build a secure online financial marketplace based on data. They also allow access to a larger market in a faster way but the third-party providers for the new entrants. Open Banking allows developers to build single solutions on an API addressing very specific problems, like for example, a cash flow based credit rating.
Romānova et al. ( 2018 ) undertook a questionnaire on the Payment Services Directive II. The results suggest that Open Banking will promote competitiveness, innovation, and new product development. The initiative is associated with low costs and customer satisfaction, but that some concerns about security, privacy and risk are present. These can be mitigated, to some extent, by secure protocols and layered permission access.
Faced with these disruptive trends, there are four strategic options for market participants to con- sider. There are (1) a defensive customer retention strategy for incumbents, (2) an aggressive customer acquisition strategy for challenger banks (3) a banking as a service strategy for new entrants, and (4) a payments strategy for social media platforms.
Each of these strategies has to be conducted in a competitive marketplace for money demand by potential customers. Figure 5 illustrates where the first three strategies lie on the tradeoff between money demand and interest rates. The payment strategy can’t be modeled based on the supply of money. In the figure, the market settles at a rate L 2 . The incumbent banks have the capacity to meet the largest supply of these loans. The challenger banks have a constrained function but due to a lower cost base can gain excess rent through higher rates of interest. The peer-to-peer bank as a service brokers must settle for the market rate and a constrained supply offering.
The money demand M by lenders on the y axis. Interest rates on the y axis are labeled as r I and r II . The challenger banks are represented by the line labeled Γ. They have a price and technology advantage and so can lend at higher interest rates. The brokers are represented by the line labeled Ω. They are price takers, accepting the interest rate determined by the market. The same is true for the incumbents, represented by the line labeled Φ but they have a greater market share due to their customer relationships. Note that payments strategy for social media platforms is not shown on this figure as it is not affected by interest rates
Figure 5 illustrates that having a niche strategy is not counterproductive. Liu et al ( 2020 ) found that banks performing niche activities exhibit higher profitability and have lower risk. The syndication market now means that a bank making a loan does not have to be the entity that services it. This means banks in the future can better shape their risk profile and manage their lending books accordingly.
An interesting question for central banks is what the future Deposit Supply function will look like. If all three forms: open banking, traditional banking and challenger banks develop together, will the bank of the future have the same Deposit Supply function? The Klein ( 1971 ) general formulation assumes that deposits are increasing functions of implicit and explicit yields. As such, the very nature of central bank directed monetary policy may have to be revisited, as alluded to in the earlier discussion on digital money.
The competitive pressures suggest that incumbent banks need to focus on customer retention. Reichheld and Kenny ( 1990 ) found that the best way to do this was to focus on the retention of branch deposit customers. Obviously, another way is to provide a unique digital experience that matches the challengers.
Incumbent banks have a competitive advantage based on the information they have about their customers. Allen ( 1990 ) argues that where risk aversion is observable, information markets are viable. In other words, both bank and customer benefit from this. The strategic issue for them, therefore, becomes the retention of these customers when faced with greater competition.
Open Banking changes the dynamics of the banking information advantage. Borgogno and Colangelo ( 2020 ) suggest that the access to account (XS2A) rule that it introduced will increase competition and reduce information asymmetry. XS2A requires banks to grant access to bank account data to authorized third payment service providers.
The incumbent banks have a high-cost base and legacy IT systems. This makes it harder for them to migrate to a digital world. There are, however, also benefits from financial technology for the incumbents. These include reduced cost and greater efficiency. Financial technology can also now support platforms that allow incumbent banks to sell NPL’s. These platforms do not require the ownership of assets, they act as consolidators. The use of technology to monitor the transactions make the processing cost efficient. The unique selling point of such platforms is their centralized point of contact which results in a reduction in information asymmetry.
Incumbent banks must adapt a number of areas they got to adapt in terms of their liquidity transformation. They have to adapt the way they handle data. They must get customers to trust them in a digital world and the way that they trust them in a bricks and mortar world. It is no coincidence. When you go into a bank branch that is a great big solid building great big facade and so forth that is done deliberately so that you trust that bank with your deposit.
The risk of having rising non-performing loans needs to be managed, so customer retention should be selective. One of the puzzles in banking is why customers are regularly denied credit, rather than simply being charged a higher price for it. This credit rationing is often alleviated by collateral, but finance theory suggests value is based on the discounted sum of future cash flows. As such, it is conceivable that the bank of the future will use financial technology to provide innovative credit allocation solutions. That said, the dual risks of moral hazard and information asymmetries from the adoption of such solutions must be addressed.
Customer retention is especially important as bank competition is intensifying, as is the digitalization of financial services. Customer retention requires innovation, and that innovation has been moving at a very fast rate. Until now, banks have traditionally been hesitant about technology. More recently, mergers and acquisitions have increased quite substantially, initiated by a need to address actual or perceived weaknesses in financial technology.
As intermediaries, the challenger banks are the same as incumbent banks, but designed from the outset to be digital. This gives them a cost and efficiency advantage. Anagnostopoulos ( 2018 ) suggests that the difference between challenger and traditional banks is that the former address its customers problems more directly. The challenge for such banks is customer acquisition.
Open Banking is a major advantage to challenger banks as it facilitates the changing of accounts. There is widespread dissatisfaction with many incumbent banks. Open Banking makes it easier to change accounts and also easier to get a transaction history on the client.
Customer acquisition can be improved by building trust in a brand. Historically, a bank was physically built in a very robust manner, hence the heavy architecture and grand banking halls. This was done deliberately to engender a sense of confidence in the deposit taking institution. Pure internet banks are not able to do this. As such, they must employ different strategies to convey stability. To do this, some communicate their sustainability credentials, whilst others use generational values-based advertising. Customer acquisition in a banking context is traditionally done by offering more attractive rates of interest. This is illustrated in Fig. 5 by the intersect of traditional banks with the market rate of interest, depicted where the line Γ crosses L 2 . As a result of the relationship with banking yield, teaser rates and introductory rates are common. A customer acquisition strategy has risks, as consumers with good credit can game different challenger banks by frequently changing accounts.
Most customer acquisition, however, is done based on superior service offering. The functionality of challenger banking accounts is often superior to incumbents, largely because the latter are built on legacy databases that have inter-operability issues. Having an open platform of services is a popular customer acquisition technique. The unrestricted provision of third-party products is viewed more favorably than a restricted range of products.
Banking from a customer’s perspective is the provision of a service. Customers don’t care about the maturity transformation of banking balance sheets. Banking as a service can be performed without recourse to these balance sheets. Banking products are brokered, mostly by new entrants, to individuals as services that can be subscribed to or paid on a fee basis.
There are a number banking as a service solutions including pre-paid and credit cards, lending and leasing. The banking as a service brokers are effectively those that are aggregating services from others using open banking to enable banking as a service.
The rise of banking as a service needs to be understood as these compete directly with traditional banks. As explained, some of these do this through peer-to-peer lending over the internet, others by matching borrows and sellers, conducting mediation as a loan broker. Such entities do not transform assets and do not have banking licenses. They do not have a branch network and often don not have access to deposits. This means that they have no insurance protection and can be subject to interest rate controls.
The new genre of financial technology, banking as a service provider, conduct financial services transformation without access to central bank liquidity. In a distributed digital asset world, the assets are stored on a distributed ledger rather than a traditional banking ledger. Financial technology has automated credit evaluation, savings, investments, insurance, trading, banking payments and risk management. These banking as a service offering are only as secure as the technology on which they are built.
An intermediation bank is a conceptual idea, one created solely on a social networking site. Social media has developed a market for online goods and services. Williams ( 2018 ) estimates that there are 2.46 billion social media users. These all make and receive payments of some kind. They demand security and functionality. Importantly, they have often more clients than most banks. As such, a strategy to monetize the payments infrastructure makes sense.
All social media platforms are rich repositories of data. Such platforms are used to buy and sell things and that requires payments. Some platforms are considering evolving their own digital payment, cutting out the banks as middlemen. These include Facebook’s Diem (formerly Libra), a digital currency, and similar developments at some of the biggest technology companies. The risk with social media payment platform is that there is systemic counter-party protection. Regulators need to address this. One way to do this would be to extend payment service insurance to such platforms.
Social media as a platform moves the payment relationship from a transaction to a customer experience. The ability to use consumer desires in combination with financial data has the potential to deliver a number of new revenue opportunities. These will compete directly with the banks of the future. This will have implications for (1) the money supply, (2) the market share of traditional banks and, (3) the services that payment providers offer.
Several recommendations for research derive from both the impact of disintermediation and the four proposed strategies that will shape banking in the future. The recommendations and suggestions are based on the mentioned papers and the conclusions drawn from them.
As discussed, the nature of intermediation is changing, and this has implications for the pricing of risk. The role of interest rates in banking will have to be further reviewed. In a decentralized world based on crypto currencies the central banks do not have the same control over the money supply, This suggest the quantity theory of money and the liquidity preference theory need to be revisited. As explained, the Internet reduces much of the friction costs of intermediation. Researchers should ask how this will impact maturity transformation. It is also fair to ask whether at some point in the future there will just be one big bank. This question has already been addressed in the literature but the Internet facilities the possibility. Diamond ( 1984 ) and Ramakrishnan and Thakor ( 1984 ) suggested the answer was due to diversification and its impact on reducing monitoring costs.
Attention should be given by academics to the changing nature of banking risk. How should regulators, for example, address the moral hazard posed by challenger banks with weak balance sheets? What about deposit insurance? Should it be priced to include unregulated entities? Also, what criteria do borrowers use to choose non-banking intermediaries? The changing risk environment also poses two interesting practical questions. What will an online bank run look like, and how can it be averted? How can you establish trust in digital services?
There are also research questions related to the nature of competition. What, for example, will be the nature of cross border competition in a decentralized world? Is the credit rationing that generates competition a static or dynamic phenomena online? What is the value of combining consumer utility with banking services?
Financial intermediaries, like banks, thrive in a world of deficits and surpluses supported by information asymmetries and disconnectedness. The connectivity of the internet changes this dynamic. In this respect, the view of Schumpeter ( 1911 ) on the role of financial intermediaries needs revisiting. Lenders and borrows can be connected peer to peer via the internet.
All the dynamics mentioned change the nature of moral hazard. This needs further investigation. There has been much scholarly research on the intrinsic riskiness of the mismatch between banking assets and liabilities. This mismatch not only results in potential insolvency for a single bank but potentially for the whole system. There has, for example, been much debate on the whether a bank can be too big to fail. As a result of the riskiness of the banking model, the banks of the future will be just a liable to fail as the banks of the past.
This paper presented a revision of the theory of banking in a digital world. In this respect, it built on the work of Klein ( 1971 ). It provided an overview of the changing nature of banking intermediation, a result of the Internet and new digital business models. It presented the traditional academic view of banking and how it is evolving. It showed how this is adapted to explain digital driven disintermediation.
It was shown that the banking industry is facing several documented challenges. Risk is being taken of balance sheet, securitized, and brokered. Financial technology is digitalizing service delivery. At the same time, the very nature of intermediation is being changed due to digital currency. It is argued that the bank of the future not only has to face these competitive issues, but that technology will enhance the delivery of banking services and reduce the cost of their delivery.
The paper further presented the importance of the Open Banking revolution and how that facilitates banking as a service. Open Banking is increasing client churn and driving banking as a service. That in turn is changing the way products are delivered.
Four strategies were proposed to navigate the evolving competitive landscape. These are for incumbents to address customer retention; for challengers to peruse a low-cost digital experience; for niche players to provide banking as a service; and for social media platforms to develop payment platforms. In all these scenarios, the banks of the future will have to have digital strategies for both payments and service delivery.
It was shown that both incumbents and challengers are dependent on capital availability and borrowers credit concerns. Nothing has changed in that respect. The risks remain credit and default risk. What is clear, however, is the bank has become intrinsically linked with technology. The Internet is changing the nature of mediation. It is allowing peer to peer matching of borrowers and savers. It is facilitating new payment protocols and digital currencies. Banks need to evolve and adapt to accommodate these. Most of these questions are empirical in nature. The aim of this paper, however, was to demonstrate that an understanding of the banking model is a prerequisite to understanding how to address these and how to develop hypotheses connected with them.
In conclusion, financial technology is changing the future of banking and the way banks intermediate. It is facilitating digital money and the online transmission of financial assets. It is making banks more customer enteric and more competitive. Scholarly investigation into banking has to adapt. That said, whatever the future, trust will remain at the core of banking. Similarly, deposits and lending will continue to attract regulatory oversight.
Diagrams are my own and the code to reproduce them is available in the supplied Latex files.
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Asian Journal of Accounting Research
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Article publication date: 24 September 2020
Issue publication date: 18 February 2021
The contribution of the banking industry to the financial crisis of 2007/8 has raised public concerns about the financial soundness of banks around the world with many countries still suffering the backlogs of this crisis. The continuous emergence of such crises at both national and international levels increases governments', bank regulators' and financial market participants' need for reliable tools to assess the financial soundness of banks. In this context, this study investigates the financial soundness of the Kazakh banking sector, which is ranked by the World Bank as the first in the world in terms of the percentage of nonperforming loans (NPL) to total gross loans in 2012.
Using data about all Kazakh banks over the period January 01, 2008 to January 01, 2014, the study identifies a number of accounting indicators that influence the financial soundness of banks using principal component analysis (PCA). Then, it uses the outcomes of the PCA in a cluster analysis and groups the Kazakh banks into sound, risky and unsound banks at two points in time: January 01, 2008 and January 01, 2014. This methodology was further tested against a ranking system of banks and proved to be more reliable in detecting risky banks.
Fifteen financial ratios were initially selected as accounting indicators for the assessment of bank financial soundness. Using PCA, twelve indicators were isolated, which explain five principal components of capital adequacy, return on assets, profitability, asset quality, liquidity and leverage. Then using the “ k -means” method, the results suggest a structure of the Kazakh banking sector on January 01, 2008 that includes two groups of banks: sound and risky banks. On January 01, 2014, this structure of the banking system has changed to include three groups of banks: sound, risky and unsound banks. Thus, in 2014 a new group of banks has emerged, i.e. financially unsound banks.
The proposed cluster-based methodology has proven to be a reliable tool to detect the financial soundness of Kazakh banks, which makes us advocate its employability for bank monitoring and supervision purposes.
This study is the first to employ a cluster-based methodology to assess the financial soundness of a banking sector. This methodology can be used at a micro-level to determine the structure of a banking sector. Also, it can be used to monitor any changes in the structure of a banking sector and provide early warning signals about the financial health of banks.
Salina, A.P. , Zhang, X. and Hassan, O.A.G. (2021), "An assessment of the financial soundness of the Kazakh banks", Asian Journal of Accounting Research , Vol. 6 No. 1, pp. 23-37. https://doi.org/10.1108/AJAR-03-2019-0022
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Copyright © 2020, Aigul P. Salina, Xin Zhang and Omaima A.G. Hassan
Published in Asian Journal of Accounting Research . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
The financial soundness of a bank is a condition in which the financial indicators characterizing its capital adequacy, asset quality, liquidity and effectiveness are within certain limits to ensure the ability of a bank to survive negative market conditions (e.g. Čihák, 2007 ; Pukhov, 2013 ). Failing to achieve these limits will transfer a bank from a sound to an unsound status. The determination of these limits is the most important stage of the process of the assessment of financial soundness in the banking sector. These financial indicators vary continuously to reflect the influence of the political, economic, social and financial conditions of each country. Thus, the demarcation of financial soundness limits would better be developed for the banking sector of each country. While the literature on the financial soundness of banks (see Appendix 1–supplementary material) at the macro-level is rich (e.g. Gaganis et al. ,2006 ; Ioannidis et al. , 2010 ; Fernández-Arias et al. , 2018 ), the number of micro-level studies has been recently growing (e.g. Rahman, 2017 ; Mittal and Mittal, 2017 ; Ouma and Kirori, 2019 ; Seyedi and Abdoli, 2019 ; Suresh et al. , 2019 ). Although cross-country studies could provide international benchmarks of the financial health of banks, it can mask crucial differences between local banks when there is a significant difference in the financial development of the different countries involved in the study. Thus, cross-country studies might fail to provide supervisory and regulatory bodies with relevant information to monitor the performance of local banks. In this context, the current study [1] examines the financial soundness of Kazakh banks using a combination of principal component analysis (PCA) and cluster analysis.
Kazakhstan provides an interesting case to study the financial soundness of banks as the level of nonperforming loans (NPL) has dramatically increased from 2.4% in 2007 to 36% in 2013, showing that the financial crisis of 2007/8 is still unfolding ( IMF, 2014 ). In fact, the World Bank has ranked it first in the world according to the percentage of NPL to total gross loans in 2012 ( Vorotilov, 2013 ). However, to date, there seems to be scarce international studies of the Kazakh banking sector.
This study contributes to the literature in several aspects. First, it contributes to the literature by proposing a simple, yet new, methodology to study the financial soundness of banks, i.e. a combination of PCA and cluster analysis. Second, it examines the financial soundness of banks in one of the most developed banking sectors in the Central Asian region and yet one of the leading countries worldwide in terms of the percentage of NPL to total gross loans. Third, it adds to the growing literature on the financial soundness of banks at micro-level by determining the structure of the banking system in a country and changes in this structure based solely on the performance of local banks. Using data on all Kazakh banks over the period from January 01, 2008 to January 01, 2014, the results suggest a structure of the Kazakh banking sector on January 01, 2008 that includes two groups of banks: sound and risky banks. This structure has changed on January 01, 2014 to include three groups of banks: sound, risky and unsound banks. Thus, in 2014, a new group of banks has emerged, i.e. financially unsound banks. On the one hand, these results highlight the dramatic deterioration of the financial health of Kazakh banks over the period January 01, 2008 to January 01, 2014. On the other hand, our results suggest that a combination of PCA and cluster analysis provides a simple and reliable tool to assess the financial soundness of a banking sector. This methodology can provide early warning signals to decision-makers and supervisory and regulatory bodies to detect vulnerable banks before they fail.
The rest of this paper is divided into seven sections: Section 2 provides an overview of the Kazakh banking sector. Section 3 briefly discusses related studies. Section 4 introduces a cluster-based methodology to assess the financial soundness of banks. Section 5 covers data analysis and discussion and section 6 checks the robustness of our results. Section 7 concludes the study.
Kazakhstan is a post-Soviet emerging country which is transforming its economy from central planning to a free-market economy. The country is in the center of the Eurasian continent and is an active participant in international affairs. The country has transitioned from lower middle-income to upper middle-income status in the World Bank's classification of countries in less than two decades since its independence in 1991. Also, according to the World Bank's Doing Business report of 2019, Kazakhstan occupied the 28th place ahead of many developed countries such as Spain, France, Netherlands and Japan ( World Bank Group, 2019 ).
The Kazakh financial sector is one of the most developed in the Central Asian region and occupies a leading position in the post-Soviet era. However, since 1991 the Kazakh banking sector has witnessed considerable consolidation with about 200 banks in 1993 falling to only 38 banks in 2014. At the end of 2007, the share of the banking sector assets to GDP in Kazakhstan amounted to 91%, which is comparable to that of Central and Eastern European countries. However, the global financial crisis of 2007/8 has dramatically undermined the Kazakh banking sector. For example, while the ratio of the banking sector assets to GDP has fallen from 91% in 2007 to 44% in 2013, the level of NPL of Kazakh banks has significantly increased from 2.7% in 2007 to 36% in 2013, which shows the extreme vulnerability of Kazakh banks. Since the financial crisis of 2007/8, many countries such as Ireland, Iceland and Lithuania have managed to recover from the economic decline in recent years, whereas in Kazakhstan, the amount of NPL was growing but stabilized at 10% in 2018. Yet, the Kazakh banking sector has not recovered to pre-crisis levels despite the strong infusion of government capital into the equity of banks, debt restructuring and issuance of tougher standards. This, in turn, means that the Kazakh banking sector is still in urgent need for innovative approaches to detect the vulnerability of its banks to enable effective intervention in a timely manner.
A review of the literature (see Appendix 1–supplementary material) shows that several prior studies on the financial soundness of banks are cross-country studies, which typically use macroeconomic variables and accounting-based indicators to assess the financial soundness of banks from different countries. For example, Gaganis et al. (2006) ; Ioannidis et al. (2010) and Fernández-Arias et al. (2018) develop quantitative models to classify banks from different countries into three groups based on their financial soundness to strong banks, adequate banks and banks with weaknesses and serious problems. On the other hand, micro-level studies focus on the financial soundness of banks within a particular country. This study is related to the latter strand of studies.
Micro-level studies can be classified into a number of streams. The first stream of studies focuses on measuring the financial soundness of banks using different models (e.g. Masud and Haq, 2016 ; Rahman, 2017 ; Dash, 2017 ; Mittal and Mittal, 2017 ; AlAli and Al-Yatama, 2019 ; Ouma and Kirori, 2019 ; Suresh et al. , 2019 ). The second stream of studies investigates changes in the financial soundness of banks overtime (e.g. Gasbarro et al. , 2002 ; Ginevičius and Podviezko, 2013 ). The third stream of studies tests the ability of different models in detecting the financial soundness of banks (e.g. Ashraf and Tariq, 2016 ). The fourth stream of studies investigates the determinants of the financial soundness of banks (e.g. Chang, 2016 ; Bae, 2019 ; Seyedi and Abdoli, 2019 ; Talibong and Simiyu, 2019 ). This study contributes to the first stream of studies by measuring the financial soundness of banks in a new setting, i.e. the Kazakh banks, and employing a novel methodology, i.e. a combination of PCA and cluster analysis. It also extends the micro-level literature on the financial soundness of banks by determining the structure of the banking system in a country and changes in that structure based solely on the performance of local banks.
This study also relates to, but differs from, the work of Gaganis et al. (2006) ; Ioannidis et al. (2010) and Fernández-Arias et al. (2018) . Similar to these three studies, the current study classifies banks into three groups: sound, risky and unsound banks. However, this study differs in three important aspects. First, these three studies are cross-country studies, but the current study is conducted at a micro-level for the Kazakh banks only. Second, the current study uses a different methodology to those applied by those three studies, i.e. a combination of PCA and cluster analysis to assess the financial soundness of banks. Third, the models developed by Gaganis et al. (2006) needed preliminary assessment of banks and for that purpose they used bank credit ratings provided by Fitch. In contrast, our proposed cluster-based methodology does not require preliminary status or rating, rather it defines such status. Previous studies noted that cluster analysis also works on small samples with non-normally distributed data ( Shuai et al. , 2013 ).
Finally, an assessment of financial soundness requires a set of variables that helps distinguish a group of banks with similar financial characteristics and identify the significant indicators to detect sound and unsound banks. Prior studies generally employ market-based measures and/or accounting-based measures. This study employs accounting-based measures to assess the financial soundness of Kazakh banks (e.g. Gasbarro et al., 2002 ; Masud and Haq, 2016 ; Rahman, 2017 ; Ouma and Kirori, 2019 ). This is because the majority of these banks are not listed on a stock exchange. In addition, accounting-based measures have several advantages over market-based indicators (e.g. Agarwal and Taffer, 2008 ; Kliestik et al. , 2020 ). For example, bank default is the peak point of many years of negative performance which could be captured by accounting-based measures. Also, loan covenants rely on accounting rather than market information. Furthermore, the double-entry system ensures minimal effect of window dressing and changes in accounting policies.
This study utilizes a combination of PCA and cluster analysis to assess the financial soundness of the Kazakh banking sector. First, we identify the financial indicators that influence the financial soundness of banks using PCA. Second, we classify banks into sound, risky and unsound groups using cluster analysis. We use cluster analysis to determine groups of banks where a calibrated set of selected indicators behave in similar ways.
The research sample consists of the entire Kazakh banking sector, which includes 34 banks on the 1st of January 2008 and 37 banks on the 1st of January 2014 (see Appendix 2–supplementary material). The former date represents the pre-crisis period. Data is collected from the annual financial reports of banks and reports of the National Bank of Kazakhstan. The entire dataset of 256 bank-year observations is used to run the PCA, but cluster analysis is employed cross-sectionally at two points in time: January 01, 2008 and January 01, 2014. SPSS software version 21 was used to perform the analysis.
A set of 15 financial indicators are selected for the current study based on a review of relevant prior studies (see Appendix 3–supplementary material). These indicators reflect the main characteristics of capital adequacy, asset quality, management, earnings and liquidity as shown in Appendix 3. In addition, some of these ratios are borrowed from the IMF's financial soundness indicators ( R 1, R 2, R 3, R 6, R 7, R 9, R 10 and R 15) and prudential norms of Kazakh banks ( R 1, R 2, R 3, R 5, R 6, R 7, R 10, R 12, R 13 and R 15).
Capital adequacy ensures that a bank maintains a certain level of equity funding corresponding to the nature and the size of the risks associated with its activity and the ability of the management to identify, properly assess, mitigate and control these risks in a timely manner. Five ratios are used for this category, namely: capital adequacy ratio, regulatory capital to risk-weighted assets, regulatory Tier 1 capital to risk-weighted assets, equity to debt ratio and financial leverage ratio.
Asset quality reflects the amount of existing and potential credit default risks inherent in credit loan, investment portfolios, fixed assets, other assets and other off-balance sheet transactions. Two ratios are used for this category, namely: NPL to total gross loans and NPL net of provisions to capital.
Management reflects the capability of the board of directors and senior management in their respective roles to identify, measure, monitor and control the risks of bank activities and to ensure that a bank is safe, sound, efficient and in compliance with applicable laws and regulations. We use the ratio of gross wages and salaries to assets as a proxy for management quality.
Earnings reflect the ability of the management to create revenues and reduce costs such as extraordinary costs, loan losses and legal costs. Five profitability indicators are selected, namely: return on assets, return on equity, earnings before interest and taxation (EBIT) to total assets, net interest margin and interest rate spread.
Finally, banks are required to maintain sufficient liquidity to meet their cash obligations and the needs of their clients. Two ratios are selected, namely: working capital to total assets ratio and current ratio.
Many studies have used cluster methodology in Finance in general and in Banking, in particular (see Appendix 4–supplementary material). A cluster methodology is typically used in combination with a data mining approach such as factor analysis or PCA (e.g. Safdari et al. , 2005 ; Dao and Khanh, 2014 ; Cyree et al. , 2020 ). For e.g. Safdari et al. (2005) use PCA and cluster analysis to allocate 17 Armenian banks into similar groups, based on 13 accounting-based indicators. Cluster analysis searches for a “natural” split in the data and puts it in distinct groups that are remote from each other ( Henning, 2015 ). It is usually used when data are presented as matrices of proximity, or the distances between objects or data points are in a multidimensional space. It focuses on identifying some geometrically remote groups within which the objects are close. The selection of distance between the objects is the focal point of the research. It largely affects the final partitioning of objects to classes at a given partitioning algorithm. Almost all studies in Appendix 4 use cluster analysis to produce final results such as a recognition of vulnerable banks or an identification of potentially failing banks. Division of banks into groups is usually made to specify their position in peer groups and the calculation of peer group ratio average.
This study applies a novel methodology to identify the financial soundness of banks, i.e. a combination of PCA and cluster analysis, which, to the best of our knowledge, was not employed in this context before. This methodology can be used to monitor changes in the structure of a banking sector and detect early warning signals for the deterioration of the financial health of banks.
5.1 demarcation of financial soundness limits.
This section presents the descriptive statistics of the selected variables for the Kazakh banking sector in Figure 1 followed by a demarcation of the different ratios based on the median value of each variable over the period from January 01, 2008 to January 01, 2014. The results of this step provide the limits which divide the Kazakh banks into sound, risky and unsound banks. It is necessary to note that these limits serve as flags rather than standards in the process of identifying clusters.
Figure 1 shows that the first four capital adequacy ratios have the same downtrend during the analyzed period, while the curve of the debt to equity ratio ( R 5) clearly characterizes the deterioration in the banks' equity. It has increased steadily from 2.231 in 2008 to 5.281 in 2014.
In addition, Figure 1 also shows that the NPL to total gross loans ratio ( R 6) and the NPL net of provisions to capital ratio ( R 7) were steadily growing from 2008 to 2014. During this period, R 6 increased four times, and R 7 increased five times to confirm the deterioration in asset quality of Kazakh banks. This is hardly surprising since the World Bank ranked Kazakhstan the first in the world for the volume of NPL in 2012 ( Vorotilov, 2013 ). The authorities introduced various approaches to control NPL in 2011, but in 2014 the ratio of NPL has further increased to 36% compared to 2.7% in 2007. IMF (2014) noted the slow progress in resolving NPLs in Kazakhstan and marked the country as the world “leader” in NPL. Figure 1 also shows the fluctuation in the salaries to total assets ratio ( R 8) which decreased from 0.017 in 2008 to 0.013 in 2011.
In addition, return on assets ( R 9) and return on equity ( R 10) had the highest values in 2008. They decreased sharply in 2010 and 2011 and returned close to pre-crisis levels in 2014. The deterioration of EBIT to assets ( R 11) started from 2009, and in 2014 the indicator reached pre-crisis level. The lowest values of the net interest rate margin ( R 12) at 0.031 is observed in 2008 and the interest rate spread ( R 13) at 0.024 in 2011. The peak values for these two indicators were in 2010 at 0.060 and 0.045 respectively. The values of these indicators in 2011 roughly correspond to those of 2008, and since 2011 they have gradually increased reaching 0.057 and 0.045 in 2014 respectively.
Figure 1 also shows that the value of the current liquidity ratio ( R 15) was 1.293 in 2008 and then it reached a peak of 1.394 in 2012 and declined to 1.004 in 2014. The working capital to total assets ( R 14) was negative in 2008, 2010 and 2014.
Calculated limits are relative to their context. However, the approach is useful for grouping banks by the degree of financial soundness in situations where bank credit ratings are not reliable or available. For example, in Kazakhstan during the last fifteen years, only 12–26 banks out of 38 had ratings assigned by Standard and Poor's, Fitch or Moody's according to the Kazakh Stock Exchange.
Following the Global Financial Stability Report ( IMF, 2012 ), quartiles are used in this study to set the limits of financial soundness, and banks were classified into three groups: the worst quartile for unsound banks, the next-to-worst quartile for risky banks and the remaining two quartiles for sound banks. This study uses the median because the data is not normally distributed. So, in this case, the two quartiles above the median reveal sound banks, and the lower two reveal risky and unsound banks as can be seen from Table 1 . These limits will be used for Step 4 of the cluster-based methodology of the assessment of financial soundness to determine the structure of the banking sector.
PCA is used to analyze annual data for the period from January 01, 2008 to January 01, 2014 for all commercial Kazakh banks with 256 bank-year observations. The process includes the analysis of the pairwise correlations between the variables, the extraction of the principal components, the rotation of the principal components to simplify the structure and the interpretation of the principal components.
Based on the results obtained from the PCA, three variables ( R 8, R 10 and R 14) were excluded from the set of 15 variables. The remaining twelve indicators explain five principal components of capital adequacy, return on assets, profitability, asset quality, liquidity and leverage as can be seen in detail below.
To perform PCA, a Spearman's correlation matrix (see Appendix 5–supplementary material) was created to present the correlations between the variables. It shows that the correlation coefficients are within acceptable level. Also, Kaiser-Meyer-Olkin (KMO) and Bartlett's test ( Appendix 6–supplementary material) are performed to check if a PCA is appropriate. The value of 0.635 in KMO test indicates satisfactory adequacy of the sample. The results for the Bartlett's test of sphericity, which is the criterion for the degree of correlation of variables, show that that the data is acceptable to run the PCA.
The extraction of principal components is the next stage of the PCA through the analysis of the vector of eigenvalues of the principal components listed (see Appendix 7–supplementary material). According to Kaiser's criterion, the first five principal components should be retained as their eigenvalues exceed the threshold level of 1 ( Nasledov, 2013 ). These five principal components explain 70.259% of the variance in the financial ratios.
The next step after the selection of components is their rotation. This is required because the original structure of components, being mathematically correct, is generally difficult to interpret. The rotation is a structure that simplifies the interpretation of the components by minimizing the number of variables with high loading on each component. The rotation of components does not affect the mathematical rigor of the analysis, i.e. the mutual position of variables does not change on the turning of axes. The most popular option is the rotation by the varimax method ( Satina, 2008 ). This is an orthogonal rotation option because, at this rotation, the axes preserve their mutual position at a right angle (see Appendix 8–supplementary material).
Appendix 8 shows that the indicators R 8, R 10 and R 14 are not efficient in explaining the selected five components. Therefore, they must be excluded from the analysis. Rerunning the PCA on these twelve indicators show that the first five principal components are capable of explaining 83% of the variation in these variables.
The first component is closely related to four indicators, namely: the capital to assets ratio ( R 1), the regulatory capital to risk-weighted assets ratio ( R 2), the regulatory Tier 1 capital to risk-weighted assets ratio ( R 3) and the debt to equity ratio ( R 5). The four original attributes explain 97.3% of the variance of the first component.
The second component can be titled the return on assets as it is closely related to the ratio of the return on assets ( R 9) and the ratio of EBIT to total assets ( R 11). These indicators explain 83.8% of the variance of the second component.
The third component is explained by the net interest margin ( R 12) and the interest rate spread ( R 13). These two attributes explain 94.6% of the variance of the second component.
The fourth component is closely related to the ratio of NPL net of provisions to capital ( R 7) and the ratio of NPL net of provisions to total loans ( R 6). The two original attributes explain 96.4% of the variance of the fourth component.
The fifth component is closely related to the ratio of total equity to debt ( R 4) and the current liquidity ratio ( R 15). These two indicators explain 95.3% of the variance of the fifth component.
In the previous step, five components described by twelve indicators are produced using PCA. The next step is to conduct a cluster analysis using the five principal components which characterize the financial soundness of banks. Cluster analysis, in this context, classifies banks into mutually exclusive groups according to the extent of their financial soundness.
This study employs the “ k -means” method to identify the distance between groups (results are not tabulated). It is applied cross-sectionally at two points in time: January 01, 2008 and January 01, 2014. These dates are deliberately chosen to explore the evolution of clusters over time. The analysis is performed on all 34 Kazakh banks representing the entire banking system on the 1st of January 2008 and 37 banks on the 1st of January 2014. In total, five banks are identified as outliers and removed from the analysis, namely: Master Bank and TPBK in 2008 and Alliance Bank, BTA Bank, Home Credit Bank in 2014. Then the medians of indicators of the different clusters of banks are identified and presented in Table 2 .
The median values of the financial ratios calculated for each cluster correspond to the limits of financial soundness. Interpretation of cluster results is usually carried out using financial ratios even if cluster analysis is performed on the principal components or factors (e.g. Dao and Khanh, 2014 ; Şchiopu, 2010 ; Satina, 2008 ). Financial ratios reflect the distinctive features and characteristics of each cluster. They help summarize the common characteristics of the obtained clusters. Table 2 shows the median values of the financial soundness indicators of the different clusters and their corresponding colors based on a color code. Each cell has a definite color. While a red color indicates a value in the 1st quartile of “Unsound Banks”, a yellow color shows values of the 2nd quartile “Risky Banks” and a green color shows the rest as “Sound Banks”. The further distribution of clusters into groups is performed according to the principle of color predominance. This principle emphasizes the special status of the red color when putting banks into groups or clusters, where the presence of the red color in a cluster for more than 20% decreases it one level of financial soundness. The 20% threshold is defined following the Pareto principle which is also known as the 80/20 rule. This principle means that roughly 80% of the effects comes from 20% of the causes ( Newman, 2005 ). 20% of 12 indicators is 2.4, thus if more than 2 indicators are marked red, the financial soundness degree of the group decreases one level.
In 2008, clusters 1 and 2 are grouped into sound banks as there are no more than 2 red ratios in both clusters, while cluster 3 is downgraded to risky banks due to the existence of 3 ratios in red category. In 2014, cluster 1 is mainly in green with only 1 red ratio, so this cluster forms the group of sound banks, while cluster 2 is downgraded to risky group with two red ratios, and cluster 3 was further downgraded to unsound group due to the existence of more than two red ratios.
Table 3 shows the different clusters of financial soundness by the median values of the financial indicators at two points in time: January 01, 2008 and January 01, 2014. Two groups of banks are formed on January 01, 2008: sound and risky banks, while three groups of banks are formed on January 01, 2014: sound, risky and unsound banks. The first group of sound banks on the 1st of January 2008 is characterized by a high level of capital adequacy, the highest net interest rate margin and interest rate spread level among the three groups, a high level of asset quality and an adequate return on assets. The second group of risky banks shows a low level of capital adequacy, a low net interest rate margin and interest rate spread, an adequate asset quality and a medium profitability.
The first group of sound banks on the 1st of January 2014 is characterized by the highest level of capital adequacy, the highest net interest rate margin and interest rate spread level among the three groups, a high level of asset quality and an adequate level of return on assets. The second group of risky banks shows a low level of capital adequacy, high net interest rate margin and interest rate spread, low quality of assets and high EBIT to assets. The third group of unsound banks shows a low level of capital adequacy, a low net interest rate margin and interest rate spread and the lowest asset quality, return on assets and regulatory Tier 1 capital to risk-weighted assets ratio. It is worth noting that there has been a marked deterioration in the quality of assets in January 2014, where the ratios of NPLs to total gross loans and to capital have increased significantly for all the selected clusters, which led to the emergence of a new group of financially unsound banks.
Table 4 shows Kazakh banks at two points in time: 2008 and 2014 and the migrations of banks between the distinct levels of financial soundness. It demonstrates the deterioration in the financial health of the Kazakh banking sector in terms of the size of bank assets of each group to the total assets of the banking sector. Although the number of sound banks has dropped from 19 in 2008 to nine in 2014, this group preserves its asset weighting in the sector (1.27% in 2008 vs. 1.69% in 2014). Meanwhile, the proportion of the assets of risky banks has dropped from 98.73% in 2008 to 58.39% in 2014. This is due to the emergence of the group of unsound banks (six banks) in 2014, which covers 39.93% of the total assets of the Kazakh banking sector.
As a robustness check of our methodology, we compare the results of the cluster-based methodology with a ranking system proposed by Al-Osaimy and Bamakhramah (2004) and Othman (2013) . This system ranks banks based on their financial performance using a 10-point scale; where one indicates the worst, while ten presents the best. Ranks are assigned to each of the twelve financial ratios, then an overall average rank for each bank is calculated at two points in time: January 01, 2008 and January 01, 2014. For R 1, R 2, R 3, R 4, R 9, R 11, R 12, R 13 and R 15 ratios, the best value is the highest value and the worst is the smallest. Whereas, for R 5, R 6 and R 7 ratios, the best value is the smallest and the worst value is the largest.
A comparison of the results of a bank's rank (using the average ranking score) to its corresponding cluster (using the color code), see Appendix 9–supplementary material, shows that the results of the cluster-based methodology almost coincides with the results of bank ranking. Exceptions are: The Alliance Bank and Kazinvestbank. In this case, cluster analysis caught the deteriorating trend in the financial performance of Alliance Bank, which defaulted in April 2009. Also, the cluster-based methodology has more reliably captured the tendency of the deteriorating financial health of Kazkommertsbank. This bank received financial assistance from the government in 2016 and was sold to Halyk Bank for $1 in 2017.
In addition, we rerun the cluster analysis for 2013 (see Appendix 9–supplementary material). The results are generally consistent with those for 2014, apart from three banks migrating to a lower group in 2014. These include TPBK and Qazaq Banki moving from sound group to the risky banks and Kazkommertsbank migrating to unsound group.
This study contributes to the literature by investigating the financial soundness of the Kazakh banking sector using a combination of PCA and cluster analysis. The results suggest a structure of the Kazakh banking sector on January 01, 2008 that includes two groups of banks: sound and risky banks. On January 01, 2014, this structure of the banking system has changed to include three groups of banks: sound, risky and unsound banks. Thus, in 2014 a new group of banks has emerged, i.e. financially unsound banks. This methodology was further tested against a ranking system of banks and proved to be more reliable in detecting risky banks.
Our results highlight the dramatic deterioration of the financial health of the banking sector which has impacted its structure. On January 01, 2008 there were no unsound banks in Kazakhstan. The number of risky banks accounted for 44% of the total number of banks in the database and sound banks accounted for 56%. On January 01, 2014 there were 16% unsound banks, 60% risky banks and 24% sound banks. The depth of the financial fragility of Kazakh banks is further pronounced by the fact that two of the six financially unsound banks are among the top five largest banks in Kazakhstan. The total assets of the financially unsound banks accounts for 40% of the total assets of the entire Kazakh banking system.
The findings of this study are of interest to bank regulators and supervisory bodies who need suitable and reliable early warning tools to predict bank unsoundness in the young post-Soviet banking systems in general and in Kazakhstan in particular, where the banking sector is not sufficiently mature. Our proposed cluster-based methodology provides a simple, yet reliable, tool to predict the financial health of banks and help monitor changes in their status regularly. Although it is beyond the remit of the current study to recommend possible remedies to the central bank, the set of financial ratios used in the PCA can help identify areas that need attention from the management of banks and potentially from the supervisory bodies.
The proposed cluster-based methodology has proven to be a reliable tool to detect the financial soundness of Kazakh banks, which makes us advocate its employability for bank monitoring and supervision. However, the methodology is inevitably suggestive. According to Sclove (2001) and Marsh et al. (2003) there is no right or wrong cluster analysis solution but only different viewpoints of the same set of data. Future studies can further examine the reliability of this methodology using data from different countries where credit ratings can provide some benchmarks. In addition, this paper employs PCA using panel data analysis and cluster analysis using cross-sectional analysis at two points in time, i.e. 2008 and 2014, due to data availability. If more data is to be available in the future, scholars might replicate the analysis to see if these results continue to hold.
Demarcation of financial soundness limits (01.01.2008–01.01.2014)
Limits of financial soundness
Selected variables | 1st limit “unsound banks” | 2nd limit “risky banks” | 3rd limit “sound banks” | |
---|---|---|---|---|
Capital adequacy ratio (CAR) | 1 | <0.143 | 0.143–0.214 | >0.214 |
Regulatory capital to risk-weighted assets ratio | 2 | <0.098 | 0.098–0.197 | >0.197 |
Regulatory Tier 1 capital to risk-weighted assets ratio | 3 | <0.130 | 0.130–0.235 | >0.235 |
Equity to debt ratio | 4 | <0.164 | 0.164–0.278 | >0.278 |
Financial leverage | 5 | >5.923 | 3.929–5.923 | <3.929 |
Nonperforming loans to total gross loans | 6 | >0.065 | 0.036–0.065 | <0.036 |
Nonperforming loans net of provisions to capital | 7 | >0.381 | 0.076–0.381 | <0.076 |
Salary to total assets | 8 | <0.010 | 0.010–0.015 | >0.015 |
Return on assets | 9 | <0.004 | 0.004–0.009 | >0.009 |
Return on equity | 10 | <0.011 | 0.011–0.027 | >0.027 |
EBIT to total assets | 11 | <0.032 | 0.032–0.049 | >0.049 |
Net interest rate margin | 12 | <0.035 | 0.035–0.050 | >0.050 |
Interest rate spread | 13 | <0.022 | 0.022–0.038 | >0.038 |
Working capital to total assets | 14 | <−0.099 | −0.099–0.040 | >0.040 |
Current ratio | 15 | <0.884 | 0.884–1.114 | >1.114 |
Median values distributed by limits of financial soundness and color predominance
A comparison of the median values of financial soundness of the different clusters of banks
Groups of financial soundness | Sound banks | Risky banks | Financially unsound banks | ||||
---|---|---|---|---|---|---|---|
Year | 2008 | 2014 | 2008 | 2014 | 2008 | 2014 | |
Number of banks | 19 | 9 | 15 | 22 | NA | 6 | |
Capital to assets ratio | 1 | 0.614 | 00.641 | 00.154 | 0.145 | NA | 0.150 |
Regulatory capital to risk-weighted assets | 2 | 0.416 | 00.617 | 00.095 | 0.110 | NA | 0.107 |
Regulatory Tier 1 capital to risk-weighted assets | 3 | 0.722 | 00.835 | 00.142 | 0.147 | NA | 0.124 |
Equity to debt | 4 | 1.500 | 11.789 | 00.175 | 0.169 | NA | 0.176 |
Financial leverage | 5 | 0.667 | 00.559 | 55.719 | 5.943 | NA | 5.701 |
NPL to total gross loans | 6 | 0.005 | 00.035 | 00.015 | 0.034 | N/A | 0.413 |
NPL to capital | 7 | 0.009 | 00.057 | 00.063 | 0.174 | NA | 3.163 |
Return on assets | 9 | 0.022 | 00.023 | 00.017 | 0.019 | NA | 0.003 |
Earnings before interest and taxes to assets | 11 | 0.050 | 00.023 | 00.053 | 0.063 | NA | 0.065 |
Net interest margin | 12 | 0.036 | 00.064 | 00.025 | 0.056 | NA | 0.041 |
Interest rate spread | 13 | 0.031 | 00.050 | 00.022 | 0.048 | NA | 0.008 |
Current liquidity ratio | 15 | 1.120 | 22.588 | 11.350 | 0.850 | NA | 1.134 |
Clusters of banks on January 01, 2008 and January 01, 2014
This paper is based on the principal author's unpublished PhD thesis.
The supplementary material for this article can be found online.
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Erratum: It has come to the attention of the publisher that the article Salina, A.P., Zhang, X. and Hassan, O.A.G. (2021), “An assessment of the financial soundness of the Kazakh banks”, Asian Journal of Accounting Research , Vol. 6 No. 1, pp. 23-37. https://doi.org/10.1108/AJAR-03-2019-0022 , was originally published with the appendix presented as supplementary material via external links; this has now been amended and the supplementary material is hosted alongside the article to ensure that it remains accessible in perpetuity: https://www.emerald.com/insight/content/doi/10.1108/AJAR-03-2019-0022/full/html
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We came across a bullish thesis on Cronos Group Inc. (CRON) on Raging Bull Investments’ Substack by Jake LaMotta. In this article we will summarize the bulls’ thesis on CRON. Cronos Group Inc. (CRON) share was trading at $2.26 as of Sept 17th.
A cannabis-growing operation in a large, industrial greenhouse.
Cronos Group represents a compelling investment opportunity, given its recent financial performance and substantial growth prospects. The company’s Q2 results highlight its strong position and strategic advantages, despite a 20% increase in share price since March, indicating robust underlying progress.
In the latest earnings release, Cronos reported a notable 46% year-over-year increase in net revenue, reaching $27.8 million. This growth reflects a solid performance in a challenging market environment. The company's gross margin improved by 700 basis points to 23%, signaling enhanced operational efficiency. Although EBITDA remains negative at -$11 million, it improved by 31% compared to the previous year. Positive cash flow from operations amounted to $1.7 million, a significant turnaround from the -$11.8 million reported a year ago. The company's substantial cash reserve of approximately $800 million provides a significant margin of safety and future investment potential.
Valuation-wise, Cronos Group is currently trading at a relatively low multiple compared to its peers. With an enterprise value to next twelve months (EV/NTM) sales ratio of less than 1x, the stock is undervalued relative to other players in the industry, which typically trade around 2x. This discrepancy presents a favorable entry point for investors. The company’s strong growth trajectory, driven by increased sales volumes and successful brand positioning with Spinach, supports the argument for a higher valuation.
The potential for margin expansion is considerable, particularly if cannabis prices in Canada stabilize and the excise tax is reformed. Removing the excise tax could significantly enhance Cronos’ gross margins, potentially raising them to around 42% from the current 23%. This improvement would be a major boost to the company's financial performance and valuation.
Looking forward, Cronos Group is well-positioned to capitalize on both domestic and international growth opportunities. With the Canadian cannabis market expected to grow and the potential for expansion into new markets, Cronos stands to benefit significantly. The combination of strong revenue growth, improved financial metrics, and strategic investments in operational efficiency makes Cronos an attractive investment with substantial upside potential. The current valuation, coupled with the company’s growth prospects, suggests a promising risk/reward scenario for investors.
Cronos Group Inc. is also not on our list of the 31 Most Popular Stocks Among Hedge Funds . As per our database, 12 hedge fund portfolios held CRON at the end of the second quarter which was 11 in the previous quarter. While we acknowledge the risk and potential of CRON as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than CRON but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock .
READ NEXT: Analyst Sees a New $25 Billion “Opportunity” for NVIDIA and 10 Best of Breed Stocks to Buy For The Third Quarter of 2024 According to Bank of America .
Disclosure: None. This article was originally published at Insider Monkey.
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BMC Medical Education volume 24 , Article number: 1028 ( 2024 ) Cite this article
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This study focuses on the factors that encouraged engagement in research activities, as well as the barriers that restricted their involvement, until the final year of study at Iuliu Hatieganu University of Medicine and Pharmacy Cluj-Napoca, Faculty of Medicine. The main objectives of this study are to investigate potential disparities in research culture and student engagement in various research opportunities between Romanian and international medical graduates, as well as to conduct an examination of the observed patterns across various graduating years (2021–2023).
A cross-sectional investigation was conducted among graduate students of the Faculty of Medicine at the Iuliu Hațieganu University of Medicine and Pharmacy in Cluj-Napoca, Romania. From 2021 to 2023, all graduate students from the Romanian and international programs of the faculty were asked to participate in the study by filling out an anonymous online questionnaire. The final sample included 572 participants, of whom 392 were students from the Romanian section and 180 were students from international programs.
Motivation and personal interest drive research engagement, according to over half of graduates. For over one-third of graduates, institutional elements like financial support and education also play a major role, as does the desire to enhance their curriculum vitae. More than 25% of graduates value community influence, 70% of graduates attended medical congresses, 12–15% presented papers at medical conferences, 23% wrote medical articles, 10–15% published at least one scientific paper in medical journals, and 20% participated in medical school research projects. Comparative analysis showed that Romanian students start research earlier, attend more medical conferences, present posters, collect data for studies, and are more interested in publishing graduation thesis data in scientific journals. To encourage international students to participate in research, the study found that colleagues’ examples were more important, and both time and funds were key barriers. The research also shows that 2022 and 2023 graduates will organize more scientific conferences. According to the study, 2022 graduates began their research earlier than others.
To increase student engagement in research activities, medical schools should prioritize the promotion of positive factors, minimize common barriers, offer customized support and resources, encourage collaborative research activities, and facilitate cross-cultural learning.
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Medical schools play a crucial role in providing professionals with the necessary knowledge and skills to excel in their careers and contribute to the healthcare system [ 1 ]. The conventional medical education structure has created skilled and scientifically grounded healthcare professionals, but it is essential to adapt learning methods to align with new technological advances, diagnostic strategies, and medical treatments [ 2 , 3 , 4 ]. As healthcare environments change, medical education must advance to meet the evolving needs of patients and healthcare professionals. To stay informed about medical innovations, medical students must develop practical skills, synthesize information, and analyze vast amounts of information. They should also maximize interprofessional learning possibilities and balance the risks and benefits of various treatment options to provide the best possible patient care [ 5 , 6 , 7 ]. Currently, the requirement for enhanced competence in evidence-based medicine and concerns regarding the declining representation of physician-scientists have emphasized the necessity of promoting and encouraging research in medical education [ 8 , 9 , 10 , 11 ].
Research involves data collection and analysis, gathering key information, and then analyzing and interpreting that information according to academic and professional procedures. This suggests that research helps students develop critical thinking and problem-solving skills, which are crucial for healthcare practitioners, and it is essential to actively involve and motivate the upcoming generation of physician-scientists from earlier stages [ 12 , 13 ]. Throughout the years, medical students have produced important innovations that have had a significant influence on current medicine through the adoption of evidence-based practice. Students made notable progress in several areas, such as the discovery of heparin, Raynaud’s disease, brachial plexus palsy, the atrioventricular node, ether anesthesia, penicillin, and insulin. Those historical examples play a crucial role in sustaining students’ motivation and developing their enthusiasm for excellence [ 14 ].
Scholarly research training programs help undergraduate medical students critically assess new information, communicate, and share research findings, making valuable contributions to the advancement of medical knowledge [ 15 ]. According to Yin et al., medical schools must prioritize research by offering enough opportunity, motivation, and assistance for student engagement [ 16 ]. Previous studies have investigated the training and participation of medical students in curricular and extracurricular research activities. Since the 1960s, some medical schools, such as Duke University and Stanford University, have offered research programs that accompany traditional education, widening students’ scientific knowledge and recruiting them to academic medicine [ 17 ]. Many medical schools nowadays offer students either mandatory or optional research alternatives that enhance their research skills. The Bologna process contributed to a restructuring of the medical undergraduate degree in Europe. It was launched in 1999 by several European countries with the goal of improving the acceptance and quality of higher education qualifications in the region. According to the Bologna process, European universities must evaluate scientific training and include research in their undergraduate medical degrees. As a result, medical students must complete a research project in order to graduate [ 8 , 18 ]. To promote supervised research, Asian universities have implemented graduation requirements, which generally require undergraduate participation for a semester or academic year, either individually or with the support of the government [ 19 ]. The Liaison Committee on Medical Education (LCME) conducted a survey among 147 medical schools in the United States between 2017 and 2018, which revealed that 65 of them mandated medical students to conduct research [ 20 ]. On the other hand, extracurricular research programs (ERPs), such as summer research programs, Honours programs, or any other student research organizations worldwide, such as Harvard College Undergraduate Research Association, Cambridge University Students’ Clinical Research Society, and John B. Graham Medical Student Research Society, have been set up by many medical schools to encourage students to do research, develop an academic mindset, and become future doctors who are also scientists [ 21 , 22 ].
Although the level to which medical graduates participate in research activities is influenced by a variety of factors and obstacles. Prior research has identified that to encourage and sustain the engagement of medical students in research, it is imperative to identify the fundamental factors that motivate their research efforts throughout the early years of their medical education [ 23 ]. In their study, Ommering et al. investigate the motivation of medical students to conduct research, and their findings suggest that students may have both intrinsic and extrinsic motivations. For extrinsic motivations, medical students may engage in research to enhance their training and career opportunities, such as securing a competitive residency. Furthermore, there is proof that students can be really interested in research and contribute out of satisfaction, as regards intrinsic motivations. Self-efficacy, curiosity, and challenge, prior training in scientific research, supportive teachers, and an environment that encourages research are the valuable motivational variables [ 23 , 24 ]. While there is a tendency to refine involvement in research during medical school, the literature highlights both institutional and non-institutional barriers to successful participation. Previous studies have found several common barriers to research involvement, such as time constraints, insufficient funds, insufficient support from mentors, and a lack of knowledge and experience. Thus, Andrea and Sarah Cuschieri found that medical graduates often receive inadequate assistance and direction from faculty members and mentors, insufficient resources for carrying out research, minimal opportunities to participate in scientific initiatives, and a lack of motivation [ 25 ]. Griffin and Hindocha also highlighted barriers perceived by medical students to publishing, such as a lack of opportunities to conduct research, insufficient support from seniors, limited education on writing manuscripts, limited time, insufficient knowledge of publication standards, and insufficient research infrastructure [ 26 ]. Stone et al. also demonstrated the existence of institutional and non-institutional barriers to conducting research during undergraduate medical school. These barriers include time constraints, a lack of mentors, inadequate support, limited access to resources, curriculum design, a lack of skills and self-efficacy, awareness and motivation, funding, internet access, and gender and cultural issues, all of which hinder medical students’ engagement in research activities [ 9 ]. Furthermore, in prior studies, the unequal attainment gap among ethnic groups begged serious concerns about performance differences, therefore affecting medical education and the medical profession. The ethnicity of medical students often influences learning and performance due to limited educational resources, unadapted curricula, and medical school populations [ 27 , 28 , 29 ].
According to our knowledge, little is known about the practices, factors, and barriers affecting research engagement among medical graduates, especially when comparing national and international students. There are no other studies on medical undergraduate research in Romania, except for our previous study, which examined the first-time research perspectives and behaviors of students in their third and fifth years of study. The previous findings indicated that Romanian medical students value research possibilities, which promotes institutional attempts to support their curricular and extracurricular research [ 30 ]. This present study can be considered a continuation of the first investigation, as it aims to examine the factors that influence the engagement of undergraduate medical students in research, as well as the research practices performed by graduates until they complete their final year at the Faculty of Medicine of Iuliu Hatieganu University of Medicine and Pharmacy in Cluj-Napoca. This is one of the most prestigious medical universities in Romania. The university’s Faculty of Medicine admits three cohorts per year, and there are programs offered in various languages: Romanian, English, and French. The student selection process varies between programs. The Romanian program selects students for admission through a written exam. International applicants to the English and French language programs are admitted based on their academic performance and personal accomplishments. Although they share clinical areas and classrooms, local and foreign students do not show up to attend the same seminars. Every cohort has different clinical rotations and class schedules, so their academic activities never cross. Each year, the university’s Faculty of Medicine admits a specific number of students into the medical program. For example, in the last ten years, the admitted number of students per year varied between 500 and 600 students per year, until recent 4 years, when the university admitted approximately 800 students per year into its medical programs. The proportion of students has an equal distribution of 50% Romanian students and 50% international students [ 31 ]. The Cluj-Napoca Faculty of Medicine offers six-year undergraduate medical education that includes, in the first year’s curricula, a module on medical biostatistics and, in the second year’s curricula, a module on scientific research methodology. Until the final year, the students must prepare and present a demanding scientific report known as a graduation research thesis in accordance with the Bologna process. Teachers also offer guidance and support throughout extracurricular research.
This study aims to investigate the factors that encourage student engagement in research, as well as the barriers that limit their decision to participate in research. Furthermore, in terms of practices, behaviors for both mandatory and optional research activities have been followed. Furthermore, socio-demographic aspects were examined. This research would be valuable in creating an overview of the research motivation, barriers, and best practices for fostering research involvement in the current situation, while there is a persistent pedlary for medical students to become physician-scientists in the context of the physician-scientist deficit worldwide. This research seeks to provide insights into the research culture, resources available, and levels of student involvement in a medical school, along with potential differences between Romanian and international students in three graduating cohorts (2021–2023). Furthermore, examining the trends across graduation years may shed light on how medical education and research opportunities are evolving. If we understand students’ perspectives, we may use evidence-based ways to increase medical students’ interest and ameliorate barriers in research to prepare the future generation of physician-scientists.
The current research aimed to use a survey with 5-point Likert scales and multiple-choice questions to evaluate factors influencing research involvement and scientific activities among graduates from 2021 to 2023, along with exploring their socio-demographic characteristics. This study provided a focused examination of the following research objectives:
Identification of socio-demographic indices: gender, section, and year of faculty graduation.
Evaluation of factors that encourage student participation in research activities: personal influence, community influence, educational influences, and financial influences.
Evaluation of the barriers that limit medical students research participation: personal influence, educational influences, and financial influence.
Identifying research behaviors: the year of debut, complexity of research activity, contributions, participation in scientific congresses, participation in the process of writing a scientific article, aspects of publishing graduation thesis data in a scientific journal, and interest in participating in research activities after graduation.
Comparing factors for involvement in research and scientific activities between Romanian and international students and analyzing them throughout time from 2021 to 2023.
Study sample and data collection.
This research is a component of a larger study centered around evaluating the engagement of medical students in research and voluntary activities. The project received ethical approval from the Ethics Commission of Iuliu Hatieganu University of Medicine and Pharmacy under Approval Number DEP27/03.11.2021.
A cross-sectional investigation was conducted among graduate students of the Faculty of Medicine at the Iuliu Hațieganu University of Medicine and Pharmacy in Cluj-Napoca, Romania. From 2021 to 2023, all graduate students from the Romanian and international sections of the faculty were asked to participate in the study by filling out an anonymous online questionnaire (a total of 1878 students were invited). We chose to investigate the Romanian and international cohorts separately in order to learn more about how their educational and cultural backgrounds influence their research attitudes and practices. We separately looked at these groups to identify their unique requirements and obstacles in order to create focused strategies to increase student research participation. The questionnaire was distributed using the Microsoft Teams platform, which is commonly used by all affiliated members of the University of Medicine and Pharmacy, Iuliu Hatieganu. The students received an invitation explaining that participation was voluntary, and they agreed to participate by filling out the questionnaire. Those who did not wish to participate did not complete the questionnaire.
For this research project, we specifically designed an online survey to evaluate socio-demographic factors (age, gender), academic aspects (section, year of graduation), opinions about factors that encourage or limit involvement in research, and the research practices of undergraduate medical students. To identify common themes and factors reported in previous studies, we conducted a thorough literature review, which helped us derive the motivating factors and barriers related to student involvement in research. This influenced the development of our survey questions. Factors that encourage medical students involvement in research are the following: personal influence (motivation and personal interest, curriculum vitae improvement motivation), community influences (example of other colleagues), educational influences (teacher presentation of research participation options, teacher mentoring and support, medical research student courses or training), and financial influence (the existence of research grants for undergraduate students, monetary remuneration); The response choices were presented on a five-point scale that varied from “not at all” to “to a very high extent.” The barriers to medical students’ involvement in research are as follows: personal influence (lack of time caused by required medical training courses or internships during medical studies, lack of interest or lack of motivation for research), educational influences (difficulty finding a research coordinator, team, or research project), and financial influence (lack of or insufficient financial compensation for work done). The response choices were presented on a five-point Likert scale that varied from “not at all” to “to a very high extent.” Additionally, the questionnaire examined the research practices of medical students as follows: the year of study when students started their research activity, if they had been engaged in research projects only for their graduation thesis, or if they performed more complex research activities till graduation. The questionnaire asked about the contributions of students to research activities (data review of scientific literature, development of research ideas and hypotheses, research methodology and protocol, data gathering tools, statistical analysis, laboratory experiments, abstract and presentation development for scientific conferences, and writing medical articles). Moreover, the questionnaire asked about students’ involvement in medical congresses, if they had presentations such as oral or poster presentations (the response choices were presented on a four-point scale that varied from “not at all” to “more than three times”), if they had been involved in writing scientific articles (the response choices were presented on a four-point scale that varied from “not at all” to “more than three times”), or if they were publishing various types of scientific articles (publishing editorials or letters to the editor, reviews, original articles, clinical case presentations), and if they were first authors or co-authors. The students were asked if they had participated in research projects during medical school (the response choices were presented on a four-point scale that varied from “not at all” to “more than three times”). Additionally, the questionnaire asked about the interest in publishing graduation thesis data in a scientific publication. The questionnaire also evaluated interest in enhancing knowledge of proper scientific article writing, interest in better comprehension of abstract writing, and interest in understanding the publishing rules of a scientific paper. The questionnaire aimed to gather data on motivation and interest to participate in research activities after completing medical studies (with response options being ‘Yes,’ ‘No,’ or ‘I do not know’). Students received the questionnaire in Romanian, English, and French, and the average time to complete it was 15–20 minutes. We assessed the reliability of the questionnaire using internal consistency and found Cronbach’s alpha for each index. We found that the Research Involvement Index, which included 6 items, had a Cronbach’s alpha of 0.74; the Index of Factors Encouraging Student Research, which included 9 items, had a Cronbach’s alpha of 0.71; and the Research Involvement Barriers Index, which included 5 items, had a Cronbach’s alpha of 0.70. Each of the three indexes indicates good internal consistency. Our previous study, which examined the perspectives and behaviors of medical students in their third and fifth years of study for the first time, also tested the questionnaire. We made minor revisions to align with the actual research questions, thereby enhancing the questionnaire’s comprehensibility and reliability.
The prevalence and mean values were calculated for the investigated topics separately for the Romanian section and international section, as well as for graduates from the 2021, 2022, and 2023 generations. Chi2 tests and t-tests were used to analyze differences among students in the Romanian and International sections, as well as among graduates from the 2021, 2022, and 2023 generations. Three types of indexes were developed to provide greater clarity into the factors influencing involvement in research and research practices.
An index of encouraging student research factors was developed by summing the scores (to a very high extent, coded + 2, to a high extent, coded + 1, I do not know, coded 0, to a low extent, coded − 1, not at all, coded − 2) of the following criteria: motivation and personal interest, curriculum vitae improvement motivation, examples of other colleagues, teacher presentations of research participation options, teacher mentoring and support, medical research student courses or training, the existence of research grants for undergraduate students, and monetary remuneration. The minimum value was − 16, and the maximum was + 16.
An index of research involvement barriers was developed by summing the scores (to a very high extent, coded + 2, to a high extent, coded + 1, I do not know, coded 0, to a low extent, coded − 1, not at all, coded − 2) of the following criteria: lack of time caused by required medical training courses or internships during medical studies, lack of interest or lack of motivation for research, difficulty finding a research coordinator, team, or research project, and lack of or insufficient financial compensation for work done. The minimum value was − 8, and the maximum was + 8.
An index for the involvement of medical students in research (research involvement index) was developed by summing the scores of involvements in the following research activities: participation at medical congresses, presenting papers at medical congresses (oral or poster presentations), participation in writing a scientific article, article publications, and participation in research projects. The available responses for each issue are 0 (no) and 1 (yes); therefore, the minimum value obtained for each participant was 0 and the maximum value obtained was 5.
We used forward selection in two stepwise multivariate linear regression analyses to find out what factors influenced the variations in the Research Involvement Barriers Index and the Index of factors that encourage student research. The dependent variables were the index of factors that encourage student research and the research involvement barriers index. For both, the independent variables were age, gender (coded 1–males, 2–females), and sections (Romanian section, international section). The analyses were performed separately for each index. Another stepwise multivariate linear regression analysis was conducted using forward selection to determine factors that contributed to the variation in the research involvement index. The dependent variables were the research involvement index, and the independent variables were age, gender (coded 1–males, 2–females), sections (Romanian section, international section), the index of factors that encourage student research, and the Research Involvement Barriers Index.
The data were analyzed using SPSS 22 statistical software, and significant findings are presented at a significance level of 0.05.
The final sample included 572 participants, which represents a response rate of around 30%. Of the participants, 215 (37.6%) were male and 357 (62.4%) were female, aged between 22 and 54 years (mean 25.25, SD 2.1). Ranking them according to the study section, 392 (68.5%) were students from the Romanian section and 180 (31.5%) were students from the international sections. Ranking them according to the years of graduation, 232 (40.5%) students graduated in 2021, 172 (30%) in 2022, and 168 (29.5%) in 2023.
Both Romanian and international students emphasize motivation, personal interest, and teacher mentoring and support as significant factors in research participation. Romanian students, in proportion to 67%, value motivation and personal interest, and 59% value teacher mentoring, while international students, in proportion to 58%, value motivation and personal interest, and 47% value teacher mentoring. Over one-third of Romanian students highlight CV improvement, research opportunities presented by teachers, and research training. Also, among international students, 40% report research training as influential, with around one-third citing CV improvement, examples of colleagues, and student research grants. The major barriers identified by Romanian students are as follows: 53% mention a lack of time and difficulty finding a research coordinator; 41% mention a lack of interest or motivation; and 20% mention insufficient financial compensation. Regarding the international students, 63% report difficulty finding a research coordinator, and 56% cite a lack of time, with a considerable proportion also noting financial constraints. The index of factors encouraging student research shows that Romanian students have a calculated score that varies between − 14 and + 16, with a mean of 8.38, whereas international students have a score ranging from − 4 to + 16, with a mean of 7.98. No statistically significant difference was seen between the two groups. The research involvement barriers index scores for Romanian students vary between − 6 and + 8, with a mean of 3.43, and for international students, they vary from − 4 to + 8, with a mean of 4.11. No statistically significant difference was seen between the two groups. Table 1 reports detailed information about the factors and barriers that could affect Romanian and international students’ participation in research activities.
Analyzing the answers of all students in the three graduating cohorts, several key factors emerged as influencing their involvement in research activities. The students consistently identified motivation, personal interest, teacher mentoring, and support as significant factors. Between 60% and 67% of all graduates attributed high importance to these factors. Teaching staff’s presentations of research opportunities, CV improvement, and the availability of student research funds enhanced the interest of about 40% of all cohorts of graduates in research. Colleagues’ examples and financial rewards significantly influenced the engagement of about 30% of 2023 graduates and one-third of 2021 and 2022 graduates. Throughout the years, barriers to research involvement remained consistent. Around half of students in all graduating cohorts identified a lack of time and difficulty finding a research coordinator, team, or project as major obstacles. Around 40% of graduates reported a lack of interest or motivation. Between 25% and 33% of graduates identified insufficient financial compensation as a significant barrier. However, the 2023 graduates placed more importance on the influence of examples from colleagues compared to the 2022 graduates. Furthermore, 2022 graduates emphasized the lack of funds as a barrier in comparison to 2021 graduates. The index of factors encouraging student research showed mean scores of 8.45 for 2021 graduates, 7.69 for 2022 graduates, and 8.57 for 2023 graduates, with no statistically significant differences between the groups.
The index of factors encouraging student research shows that 2021 graduates scored between − 7 and + 16, with a mean of 8.45. In comparison, 2022 graduates scored between − 14 and + 16, with a mean score of 7.69, while 2023 graduates scored between − 8 and + 16, with a mean score of 8.57. There was no statistically significant difference observed between the two groups. The Research Involvement Barriers Index scores for 2021 graduates range from − 6 to + 8, with a mean of 3.44; for 2022 graduates, the scores range from − 4 to + 8, with a mean of 3.78; and for 2023 graduates, the scores vary from − 3 to + 8, with a mean of 3.77. There was no statistically significant difference observed between the groups. Table 2 provides detailed information about the factors and barriers that could affect the students’ participation in research activities in the three graduating cohorts (2021–2023).
Around one-third of students from both sections began participating in research during their sixth year, with Romanian students starting earlier on average (t-test, p < 0.01). About 70% of Romanian and over 80% of international students engaged in research linked to their graduation thesis, with a significant difference between groups (chi-square, p < 0.05). Less than 20% performed more complex research. Romanian students more frequently participated in data collection compared to international students who preferred performing literature reviews (chi-square, p < 0.01). Around 80% of Romanian and less than half of international students attended medical conferences (chi-square, p < 0.01). In proportion, 36% of Romanian and 21% of international students were on the scientific meetings organization staff (chi-square, p < 0.01). Approximately 12% of Romanian and 5% of international students presented posters at scientific conferences (t-test, p < 0.05). One-quarter of Romanian and 20% of international students contributed to the writing of medical research papers, with Romanian students having a higher co-authoring rate (chi-square, p < 0.05). A proportion of 29% of Romanian and 20% of international students were interested in publishing their research data (chi-square, p < 0.05). Overall, 7% of international students and 6% of Romanian students have published their graduation thesis output. The research engagement index was higher for Romanian students (mean 1.53) compared to international students (mean 1.06) (t-test, p < 0.01). Over 80% of students showed interest in improving their skills in scientific writing, with higher interest among Romanian students (chi-square, p < 0.05), and around 60% were interested in post-graduation research activities. Table 3 provides detailed information about research practices and comparative analyses of Romanian and international graduates.
Approximately one-third of each cohort began research in their sixth year, with 2022 graduates starting earlier on average (t-test, p < 0.05). Over 70% of graduates from all years participated in thesis-linked research, while less than 20% conducted more complex research. Around 31–38% of participants reviewed scientific literature, 25% developed research ideas and methodologies, and 28–37% performed data collection. More than one-third of 2021 graduates, as well as 40% of 2022 and 2023 graduates, performed statistical analysis. Most students attended medical congresses, with 12–15% presenting papers, 9% presenting posters, and 6.5–9.9% giving oral presentations. A quarter of 2021 graduates, 42% of 2022 graduates, and 30% of 2023 graduates were on the scientific meetings organization staff, with higher engagement in 2022 and 2023 (chi-square, p < 0.05). Around 23% of graduates contributed to writing medical research papers. About 29% of 2021 graduates and 25% of 2022 and 2023 graduates were interested in publishing their research data, while 6% of the three graduating cohorts had accepted or published articles. Approximately 20% of graduates engaged in faculty research projects, with a mean of 1.3 regarding the research index scores. Interest in improving scientific writing skills was high. Over 79% of graduates showed interest in improving their skills in scientific writing, with higher interest among 2022 and 2023 graduates (chi-square, p < 0.05), and around 60% were interested in post-graduation research activities. Table 4 provides detailed information about practices in research and comparative analysis in the three graduating cohorts (2021–2023).
Regarding aspects associated with involvement in research, the multivariate linear regression findings show that the index of positive factors was higher among female students (standardized beta 0.146, CI = 4.715–7.322, P < 0.01). Additionally, the negative factor index was shown to be higher among female students (standardized beta 0.144, CI = 0.363–1.308, P < 0.01) and in international sections (standardized beta 0.131, CI = 0.296–1.282, P < 0.01). Also, the research index was higher among the Romanian section (standardized beta − 0.174, CI = -0.688–-0.251, P < 0.01).
This study investigates the research factors and practices of students in their final year at Cluj-Napoca’s Iuliu Hatieganu University of Medicine and Pharmacy Faculty of Medicine.
The concept of originality is related to the evaluation of the aspects perceived by medical students regarding the factors that encouraged engagement in research activities, as well as the barriers that restricted their involvement, until the final year of study. It also refers to determining potential disparities in research culture and in student involvement in different types of research opportunities among Romanian and international medical graduates. Furthermore, performing an analysis of the patterns observed across different graduating years (2021–2023) may provide valuable insights into the dynamic nature of medical education and the potential for research advancements.
Ommering et al. found that to encourage and maintain the interest of medical students in research, it is necessary to understand the motivations that drive them to engage in research as well as the specific factors that contribute to their motivation for research [ 23 ]. In this light, our study’s results indicate that personal interest, which represents intrinsic motivation, is the most important factor that significantly encourages student engagement in research. Additionally, the authors of the previous cited study found that students may undertake research for future educational and professional options, such as a desired residency position [ 23 ]. However, our study reveals that the improvement of the curriculum vitae, a representation of extrinsic motivation, appears to have a less significant impact on students’ involvement in research. It’s possible that the lower significance achieved by improving their CV is due to the fact that, in the Romanian medical system, training possibilities and jobs post-graduation are based primarily on exams rather than CVs [ 30 ]. The absence of observed discrepancies between both sections is intriguing because this aspect was anticipated to have a greater impact on students from the international sections as the curriculum vitae continues to have significant importance in the residency applicant assessment process for most graduates globally [ 32 ]. Thus, according to our findings, medical schools should prioritize their students’ personal interests and curiosity in research. This might entail both research classes and practical research activities as part of the teaching program, which should promote curiosity and foster intrinsic motivations early in medical education.
In this study, educational influences, such as the presentation of research participation options by teachers, their mentoring and support, and the organization of medical research student courses or training, have a significant impact on students’ involvement in research. According to Abu-Zaid, teachers who encourage research have a substantial impact on students’ views towards this area and their aspirations for future careers [ 33 ]. However, the significance of teacher mentorship and assistance is perceived to a greater extent by students in the Romanian section. The observed disparity between the sections is unexpected, as both Romanian and international students interested in medical research receive the same guidance and assistance for research participation. This is due to the fact that the “Iuliu Hatieganu” University of Medicine and Pharmacy actively promotes research activities across all fields and departments. One potential reason for this disparity could be cultural differences in the perception of mentorship. Given their different origins, international graduates could have different expectations and mentorship experiences. Although the university strives to provide comparable mentoring, the increased perceived value of teacher interaction among Romanian students indicates underlying reasons needing further investigation.
Furthermore, when considering financial factors, it is observed that students view the presence of research grants as a significant and favorable factor that encourages their engagement in research. Similar findings were also expressed by Australian students, who said that one of the main elements motivating research activities throughout medical school is financing [ 34 ]. Iuliu Hatieganu University of Medicine and Pharmacy ranks first among Romanian medical universities in the number and value of competitive research grants due to the extraordinary effort of teaching staff collectives, the institutional frame improved by creating the Department for Research and Development, and the more generous financing programs. Most research funding comes from grants and contracts [ 35 ]. However, the results of the present investigation showed that Romanian students expressed a stronger belief that the existence of funds has a higher impact on their engagement in research. Romanian students probably view financing as more significant because of their connections with local funding sources, prior expertise in financially sponsored research projects, cultural and socioeconomic issues, and favorable experiences with financed research. To enhance research engagement, it should provide customized support and resources, encourage collaborative research efforts, and promote cross-cultural learning and idea exchange.
The benefits of collegiality and collaboration, knowledge acquisition, and career-mindedness for medical students were highlighted by Yin et al. in their investigation that examined the effects of graduates’ research experiences on their medical undergraduate colleagues. [ 16 ]. The current study found that the example of other colleagues influences their involvement in research, and the findings vary between the groups under investigation. International students place a higher importance on this factor, probably because they could be more collaborative with their colleagues in the context of their smaller number of colleagues than in the Romanian section. Thus, they could have more chances to work together on research projects and influence each other by personal example. Additionally, the cohort of 2023 graduates showed stronger confidence that the influence of their colleagues’ examples has a greater effect on their research engagement compared to the 2022 graduate cohort. This might be the result of more peer cooperation, more group research projects, or a developing university culture of common academic interests.
The outcomes of our study correspond closely to the available literature; many of the findings regarding barriers are comparable to the results of previous investigations. Key barriers to undergraduate research participation include a lack of knowledge and skills, limited faculty support and funding, as well as structural barriers like time constraints, limited research facilities, and a lack of motivation [ 36 ]. Our findings highlighted that the time constraints caused by time-consuming internships or mandatory medical training courses are the most significant obstacle impeding students’ engagement in research activities. According to our findings, “lack of time” has a greater impact on international students, who may have less time to do research because they must adapt to new educational systems and learn a new language. It is already known that medical curricula are often too rigorous to include sufficient time for extracurricular study [ 37 ]. Siemens et al. also identified a lack of time as a major obstacle to conducting research, citing a demanding school schedule [ 38 ]. Most students perceive the challenge of finding a research coordinator or team and a research project as a significant obstacle. Similar studies on the importance of research mentorship for medical students mirrored our findings [ 38 , 39 ]. In addition, their lack of interest in research and lack of or insufficient financial remuneration are perceived as minor barriers by respondents. Hegde et al. and Kumar et al. also demonstrated similar results, describing barriers such as lack of interest, funding, and poor availability of research mentors that can hinder undergraduate participation in research [ 39 , 40 ]. Developing flexible curricula, enhancing mentoring programs, developing research skills, offering time management support, and improving funding possibilities will help students participate in research without compromising their clinical training or academic responsibilities.
The Boyer Commission’s report on undergraduate medical education emphasizes the importance of integrating scientific research training into medical curricula. This trend has evolved, and currently, research-based learning is widespread. Medical schools engage students in undergraduate research in various ways. Research-driven courses, extracurricular activities, and graduate research projects are examples [ 24 , 41 ]. Medical students at Iuliu Hatieganu University of Medicine and Pharmacy Faculty of Medicine participate in both compulsory research and extracurricular activities. Table 5 summarizes the main activities. These activities should improve abilities in critical literature evaluation, study objectives, methodology, data collection, analysis, interpretation, and oral presentation [ 30 ]. Incorporating scientific research in medical education at an early stage improves both cognitive and practical abilities, develops intellectual skills, encourages evidence-based learning, promotes the production of publications, stimulates future research, and facilitates career progression [ 33 ]. Although there are different opinions about compulsory research in the faculty. According to Abu-Ziad et al., this could lead to bad research practices that harm universities and research organizations.
The findings of the investigation indicated that most students commenced their research activities at a later stage, predominantly during their fifth and sixth years of study. This research commencement coincides with the most common timeframe for starting graduate research. Furthermore, the proportion of students who participated in more complex research activities varied from 12 to 18%. However, their research roles have been vast. These include a data review of scientific literature, the formulation of research ideas and hypotheses, the development of research methodology and protocol, the creation of data collection tools, data gathering in various environments, including hospitals, communities, and organizations, and data statistical analysis. The percentage of students engaged in activities such as conducting laboratory experiments, writing medical articles, and developing abstracts and presentations for scientific conferences was considerably lower. Romanian students were more involved in data collection, while international students focused more on literature reviews. The language barrier could be the key to these results, as international students could perform review-type research more easily than gathering data from local patients, while Romanian students were expected to collect information more easily due to their access to patient data and their improved interactions with local patients.
Romanian students and international students have significantly different participation rates in medical conferences. Events like conferences, workshops, seminars, and symposiums offer unique learning opportunities. These events encourage medical staff to remain current on research, discuss best practices, and learn new skills, developing safety and quality [ 42 ]. Romanian students have a higher percentage of presentations, with around 15% presenting their work, while international students have around 10%. Posters were more common among Romanian students, while oral presentations were more common among international students. Our findings align with a previous study conducted in the United Kingdom, which showed that 17% of students had submitted an article for scientific meetings, which refers to their participation in poster and podium presentations [ 26 ].
Between 20% and 25% of students from the studied groups have contributed to writing medical publications at least once, while between 10% and 15% of participants published papers as authors. The Romanian section had a higher percentage of students who co-authored papers. Students from both sections contributed reviews, original articles, and clinical case presentations. Similarly, a previous investigation conducted among students from Dutch universities showed that 12% of the participants had published one or more papers either prior to or during their year of graduation [ 43 ]. In their study, Barbosa et al. showed that investigations conducted at the medical-degree level are an unexplored resource of scientific knowledge. Active participation in scientific research holds significant value in terms of enhancing one’s personal knowledge. However, it is equally crucial to share this knowledge to advance the medical field and, subsequently, improve healthcare outcomes [ 8 ]. More than one-quarter of students expressed interest in publishing their graduation research data, with Romanian students showing more interest. This may be due to the fact that most international graduates do not continue their training in Romania after graduation, making it difficult to work with the research team to disseminate graduation study results. Currently, there are international students with at least one paper at the peer review stage. Also, under 10% of students have articles approved or published already. Therefore, the publication rate for research graduation theses was lower than that of other European studies, with rates of 10.4% in Portugal, 17% in France, and 23.8% in Finland [ 8 ]. To contrast, our study exposed data collected around graduation, while these studies revealed data collected years after graduation [ 8 ].
Previous investigations showed that medical students need expertise in writing papers and abstracts. Teaching these abilities would be valuable, and medical schools should provide information and knowledge about writing scientific articles and abstracts to help students develop a solid foundation for their postgraduate medical careers [ 26 ]. Our findings demonstrated that almost all the students want to improve their scientific manuscript writing (writing of the scientific article, abstract) and publishing guidelines. The 2022 and 2023 graduates were more interested in learning how to write a scientific article and abstract writing, while the Romanian students were more interested in improving their scientific manuscript writing and publishing guidelines.
According to Waaijer et al., positive experiences can drive student motivation in a research career. Thus, the present investigation showed that over half of participants express a desire to continue conducting research after graduation, and they are probably likely to have had favorable experiences related to research throughout their medical school studies [ 43 ]. Moreover, a systematic review focused on career choice demonstrated that obtaining a medical degree or participating in a fellowship program is linked to a professional path in the field of research medicine. Also, the completion of research projects and subsequent dissemination of findings within the context of medical school and residency have a strong connection to a career path in the field of research medicine [ 44 ].
There are several limitations associated with this study. The first limitation could be the fact that the study provides valuable insights into research participation among Romanian and international medical graduates; the findings could be comparable only with those of other medical schools under the Bologna process that adopt similar curricular and extracurricular research activities. Furthermore, the research sample includes exclusively medical graduates from one Romanian medical institution, so the findings could restrict the representation of many points of view and experiences in the larger community of medical graduates. Moreover, participants who are more interested in research may self-select, which could influence the findings. Another possible limitation of our study is the low response rate observed. We also observed declining participation rates over successive years. Survey fatigue, demographic changes, methodologies, perceived relevance, privacy issues, benefits, and societal trends all could help to explain declining survey participation rates. Also, uncontrollable factors such as socioeconomic status, prior research experience, or personal motivations can complicate the relationship between identified variables and barriers to research participation, thereby complicating the ability to establish causal relationships. Moreover, the cross-sectional design of the study may restrict its ability to capture changes in research participation. It is very difficult to observe patterns and experiences over time or across different stages of medical education. However, a strong point of this study can be considered a continuation of the first investigation, as it aims to examine the factors that influence the engagement of undergraduate medical students in research in their third and fifth years of study, who graduated in 2021 and were part of the study’s sample.
The findings of this study offer important perspectives into the involvement of medical undergraduates in research during medical school, as well as the factors and barriers that interfere with research participation. The results demonstrate that intrinsic motivation is the primary factor driving student engagement in research, while institutional factors, such as educational, financial, and community influences, also have a substantial impact on research involvement. Lack of interest and time restrictions are the two main barriers. Furthermore, observed were financial issues, difficulties finding a research coordinator or team, and securing a research project. Also, this study revealed the existence of research culture differences between Romanian and international students and underlined the dynamic character of medical education. This work could be used as a foundation for future research to explore methods for removing these obstacles and fostering factors that may impact research engagement. These results could be adapted by teaching staff about practical medical education to offer effective strategies for encouraging undergraduate research field involvement and promoting cross-cultural learning. Also, universities and policymakers could utilize these findings to concentrate their initiatives on reducing the main barriers to achieving high-quality research. Overall, this study not only advances academic understanding but also offers tangible benefits to all parties involved, fostering a collaborative approach to encourage research participation among medical undergraduates.
The datasets utilized and analyzed in the present study are accesible upon resonable request from the corresponding author.
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We would like to extend our sincere thanks to all the students who participated in the survey.
This research was funded through a research project by the Iuliu Hatieganu University of Medicine and Pharmacy, Internal grant—Doctoral Research Project with registration number: 1032/49/13 January 2021.
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Department of Community Medicine, Research Center in Preventive Medicine, Health Promotion and Sustainable Development, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400012, Romania
Andreea Iulia Pop
Department of Community Medicine, Research Center in Preventive Medicine, Health Promotion and Sustainable, Development Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400012, Romania
Lucia Maria Lotrean
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A.I.P. conducted data collection, performed data analysis and interpretation, and wrote the article. L.M.L. developed the methodology, provided supervision, offered valuable insights regarding data analysis and interpretation, and contributed to the article’s writing. The authors have read and approved the submitted version of the manuscript.
Correspondence to Andreea Iulia Pop .
Ethics approval and consent to participate.
The study was approved by the Iuliu Hatieganu University of Medicine and Pharmacy Ethics Committee (Approval No. 27/03.11.2021).
The need for written informed consent was waived by the Iuliu Hatieganu University of Medicine and Pharmacy Ethics Committee due to the nature of the survey, which did not collect any personally identifiable data.
All students were informed that participating in the study is voluntary and that they can choose not to participate by not completing the anonymous survey. The students who completed the survey expressed their agreement with their involvement in the study.
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Pop, A.I., Lotrean, L.M. Comparative analysis of factors and barriers intervening in research participation among romanian and international medical graduates from one romanian medical faculty across three generations. BMC Med Educ 24 , 1028 (2024). https://doi.org/10.1186/s12909-024-05939-5
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DOI : https://doi.org/10.1186/s12909-024-05939-5
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Conclusion. Summarize the key points of your thesis, emphasizing the significance of your findings in the broader context of finance research. Revisit your thesis statement and demonstrate how your research has contributed to the understanding of the topic. Leave your readers with a lasting impression and a sense of closure.
Taxation Thesis Topics. 1. Accounting Thesis Topics. The impact of artificial intelligence on financial reporting and compliance. Blockchain technology in accounting: disrupting traditional processes. The role of ethical leadership in promoting sustainable accounting practices.
I f you're just starting out exploring potential research topics for your finance-related dissertation, thesis or research project, you've come to the right place. In this post, we'll help kickstart your research topic ideation process by providing a hearty list of finance-centric research topics and ideas.. PS - This is just the start… We know it's exciting to run through a list ...
Theses/Dissertations from 2014. PDF. Essays on Corporate Finance, Hari Prasad Adhikari. PDF. Two Essays on Individuals, Information, and Asset Prices, Joseph Mohr. PDF. Two Essays on Investment, Bin Wang. PDF. Two Essays on Corporate Finance, Qiancheng Zheng.
ts a theoretical model of an ETF. Conventional wisdom warns that exchange-traded funds (ETFs) harm stock price discovery, either by ``stealing'' single-stock liquidity o. forcing stock prices to co-move. Contra this belief, I develop a theoretical model that investors with stock-specific information.
concept of introducing more financial information at a younger age so that the effects of financial literacy can be seen earlier rather than later. 1. Business Related Majors and Minors are defined as all majors and minors in the Darla Moore School of Business at the University of South Carolina as of Spring 2020.
financial aid has not kept pace with inflation and overall cost of college. An assessment of financial aid indicates a shift from making college affordable for all, to abating the cost for middle-class families (Long & Riley, 2007). The combination of increased educational expense and diminished financial aid has created a widening economic gap,
Opting for relevant finance thesis topics ensures that your research contributes to the existing body of knowledge and addresses contemporary issues in finance. Choosing a dissertation topic relevant to the industry can make a meaningful impact and advance understanding in your chosen area. 2. Personal Interest.
COMMITTEE: ton, Daniel Greenwald ABSTRACT:This dissertation consists of three essays on financial economics, specifically focusing on the role of government banks in the aggregate economy and in the role of capital. tilization to determine leverage. The first essay shows the empirical relevance of state-owned banks nowadays and their.
Information Propagation in Financial Markets, Garrett A. McBrayer. Theses/Dissertations from 2014 PDF. Essays on Moral Hazard, Bank Size, Influence, and Risk at the Federal Home Loan Banks, James Cash Acrey. PDF. Financial Crisis and the Supply of Corporate Credit, Jorge Santiago Emmanuel Barraza. PDF. Incentives and Firm Behaviors, Thu Hien ...
Finance Research Topics For MBA. Here is our best list of top-rated MBA financial topics to write about in 2023, which will generate more passion for a debate: Evaluate the effect of the Global crisis to use the line of credit in maintaining cash flow. Discuss options for investment in the shipping industry in the US.
Here are some good examples of accounting research topics ideas. Accounting origin. The Ethics of Accounting and Its Relevance in The Society. Company structure influence on Accounting. Information Systems For Accounting. Accounting and Taxes. Accounting as Relates to Personal Finance. Profit Management.
financial service industry, the applications of AI in the financial sector and its impact. Required recom-mendation is presented for the businesses that are planning to adopt AI in their organizational function. Chapter 8 concludes this thesis and summarizes all that has been done in the study.
Issue Date: 2014. Publisher: Princeton, NJ : Princeton University. Abstract: This dissertation focuses on statistical methods in finance, with an emphasis on the theories and applications of factor models. Past studies have generated fruitful results applying statistical techniques in various cross-sectional and time-series analyses, yet better ...
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Step 1: Start with a question. You should come up with an initial thesis, sometimes called a working thesis, early in the writing process. As soon as you've decided on your essay topic, you need to work out what you want to say about it—a clear thesis will give your essay direction and structure.
PDF. An Analysis of a Changing Supreme Court Viewed Through Students for Fair Admissions v. President and Fellows of Harvard College, Reed Fagg. PDF. Accounting and Finance Internship Thesis, Peyton Fair. PDF. 2023 Community Bank Case Study Competition, Joseph Kelly.
Financial professionals use the investment thesis to pitch their ideas. Understanding the Investment Thesis As noted above, an investment thesis is a written document that provides information ...
Moreover, financial news media is an important research topic in finance because information released through the media has a wider audience than other information intermediating systems in the financial market. This thesis defines the financial journalist as a significant actor in the intermediation of financial information.
This paper presents an analytical framework that describes the business model of banks. It draws on the classical theory of banking and the literature on digital transformation. It provides an explanation for existing trends and, by extending the theory of the banking firm, it illustrates how financial intermediation will be impacted by innovative financial technology applications.
On February 24, 2022, Russia invaded the Ukraine. In this paper, we analyze the response of European and global stock markets alongside a representative sample of commodities. We compare the war response against the recent Covid-19 pandemic and the not-too-distant 2008 global financial crisis. Applying a Markov-switching HAR model on volatility ...
Business Plans typically include: an executive summary, a marketing plan, a management plan, a financial plan, and a strategic plan. Thesis. Accounting is crucial to the success of any entrepreneurial venture or business project. Entrepreneurs with an understanding of the accounting cycle and double-entry accounting are advantaged.
1. Introduction. The financial soundness of a bank is a condition in which the financial indicators characterizing its capital adequacy, asset quality, liquidity and effectiveness are within certain limits to ensure the ability of a bank to survive negative market conditions (e.g. Čihák, 2007; Pukhov, 2013).Failing to achieve these limits will transfer a bank from a sound to an unsound status.
We came across a bullish thesis on Cronos Group Inc. (CRON) on Raging Bull Investments' Substack by Jake LaMotta. In this article we will summarize the bulls' thesis on CRON. Cronos Group Inc ...
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This study focuses on the factors that encouraged engagement in research activities, as well as the barriers that restricted their involvement, until the final year of study at Iuliu Hatieganu University of Medicine and Pharmacy Cluj-Napoca, Faculty of Medicine. The main objectives of this study are to investigate potential disparities in research culture and student engagement in various ...