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This dissertation consists of three chapters discussing issues in the field of financial econometrics. All three chapters are largely empirical, with some theoretical developments in second moments modelling in the second chapter.
The first chapter of this thesis analyses the market neutrality of Pairs Trading, a statistical arbitrage trading technique, from a second moments perspective. In this study, I analyse how market and idiosyncratic news affect the profitability of this tra...
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Home > ETD > 7814
Integrated Article
Fred Liu , The University of Western Ontario Follow
Doctor of Philosophy
Stentoft, Lars
Conley, Tim
Saunders, Charles
Financial econometrics is a highly interdisciplinary field that integrates finance, economics, probability, statistics, and applied mathematics. Machine learning is a growing area in finance that is particularly suitable for studying problems with many variables. My thesis contains three chapters that explore financial econometrics and machine learning in the fields of asset pricing and risk management.
Chapter 2 studies the implications of the new Basel 3 regulations. In 2019, the BCBS finalized the Basel 3 regulatory regime, which changes the regulatory measure of market risk and adds new complex calculations based on liquidity and risk factors. This chapter is motivated by these changes and seeks to answer the question of how regulation affects banks’ choice of risk-management models, whether it incentivizes them to use correctly specified models, and if it results in more stable capital requirements.
Chapter 3 conducts, to our knowledge, the largest study ever of five-minute equity market returns using state-of-the-art machine learning models trained on the cross-section of lagged market index constituent returns, where we show that regularized linear models and nonlinear tree-based models yield significant market return predictability. Ensemble models perform the best across time and their predictability translates into economically significant Sharpe ratios of 0.98 after transaction costs. These results provide strong evidence that intraday market returns are predictable during short time horizons.
Chapter 4 studies the idiosyncratic tail risk premium and common factor. Stocks in the highest idiosyncratic tail risk decile earn 8% higher average annualized returns than in the lowest. I propose a risk-based explanation for this premium, in which shocks to intermediary funding cause idiosyncratic tail risk to follow a strong factor structure, and the factor, common idiosyncratic tail risk (CITR), comoves with intermediary funding. Consequently, firms with high idiosyncratic tail risk have high exposure to CITR shocks, and command a risk premium due to their low returns when intermediary constraints tighten. To test my explanation, I create a novel measure of idiosyncratic tail risk. Consistent with my explanation, CITR shocks are procyclical, are correlated to intermediary factors, are priced in assets, and explain the idiosyncratic tail risk premium.
Chapter 2 is motivated by the new Basel 3 market risk regulation, which introduces new complex calculations for global banks. This chapter has three main findings. First, under Basel 3, banks are incentivized towards riskier models. Second, banks are incentivized toward inaccurate models meaning that the Basel 3 penalty for inaccuracy may be insufficient. Third, Basel 3 results in more stable capital requirements.
Chapter 3 is motivated by the idea that markets may be predictable in very short time horizons, since it takes time for traders to incorporate information into prices. To test this idea, we conduct the largest study of intraday (i.e. five-minute) market return predictability using machine learning techniques. This chapter has three main findings. First, intraday market returns are predictable, though this predictability has decreased across the years. Second, this predictability is profitable after transaction costs. Third, consistent with slow traders, predictability is higher during the middle of the day, and during volatile or illiquid days.
Chapter 4 uses a new tail risk factor to provide an economic explanation for a recent asset pricing puzzle, which uncovers a hidden risk that emerges during bad times. Specifically, this chapter is on idiosyncratic tail risk, which measures the severe losses of an individual stock that are uncorrelated to the market. I propose that idiosyncratic tail risk is caused by large investment firms impacting individual stocks due to the large size of their trades. When they’re flush with cash, they conduct more trades, causing tail risk to go up. This means the aggregate level of tail risk is informative of how much cash big investment firms have. As these are key players in financial markets, then idiosyncratic tail risk matters for prices and financial stability.
Liu, Fred, "Essays in Financial Econometrics and Machine Learning" (2021). Electronic Thesis and Dissertation Repository . 7814. https://ir.lib.uwo.ca/etd/7814
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Based upon my experience in research, teaching, writing textbooks, and editing handbooks and journals, this review paper discusses how financial econometrics, mathematics, statistics, and financial technology can be used in research and teaching for students majoring in quantitative finance. A major portion of this paper discusses essential content of Lee and Lee (Handbook of financial econometrics, mathematics, statistics, and machine learning, World Scientific, Singapore, 2020). Then Lee (From east to west: memoirs of a finance professor on academia, practice, and policy, World Scientific, Singapore, 2017), Lee et al. (Financial econometrics, mathematics and statistics, Springer, New York, 2019a; Machine learning for predicting default of credit card holders and success of kickstarters. Working paper, 2019b), and Lee and Lee (Handbook of financial econometrics and statistics, Springer, New York, 2015) are used to enhance the content of this paper. In addition, important and relevant papers, which have been published in different journals are also used to support the issues discussed in this paper. I have found the applications of financial econometrics, mathematics, statistics, and technology have improved drastically over the last five decades. Therefore, both practitioners and academicians need to update their skills in this area to compete in both financial market and academic research.
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Rutgers University, New Brunswick, USA
Cheng Few Lee
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This paper was delivered as a keynote speech at the 27th PBFEAM Conference in June 2019 at National Taiwan University. I appreciate the comments from the audience at the conference. In addition, the useful comments from Professors J. R. Chang, Cathy Y. H. Chen, Jack Francis, Wolfgang Karl Hardle, Nathan Joseph, Fu-Lai Lin, Xiaoxiao Tang, and Hai-Chin Yu are also appreciated.
This appendix will cover the table of contents and important keywords for this handbook. Part A of this appendix covers the table of contents and Part B covers the keywords.
Introduction
Do Managers Use Earnings Forecasts to Fill a Demand They Perceive From Analysts? by Orie Barron, Jian Cao, Xuguang Sheng, Maya Thevenot, and Baohua Xin
A potential benefit of increasing book–tax conformity: Evidence from the reduction in audit fees by Nantin Kuo and Cheng-Few Lee
Gold in Portfolio: A Long-Term or Short-Term Diversifier? by Fu-Lai Lin, Sheng Yung Yang, and Yu-Fen Chen
Econometric Approach To Financial Analysis, Planning, And Forecasting By Cheng-Few Lee
Forecast Performance of the Taiwan Weighted Stock Index: Update and Expansion by Deng-Yuan Yi, Hsiao-Yin Chen, and Cheng-Few Lee
Statistical Distributions and Option Bound Determination by Cheng-Few Lee and Peter Guangping Zhang
Measuring the collective correlation of a large number of stocks by Wei-Fang Niu and Henry Horng-Shing Lu
Key Borrowers Detected by the Intensities of Their Interactions by Fuad Aleskerov, Irina Andrievskaya, Alisa Nikitina, and Sergey Shvydun
Application of the Multivariate Average F Test to Examine Relative Performance of Asset Pricing Models with Individual Security Returns by Shafiqur Rahman and Matthew J. Schneider
Hedge Ratio and Time Series Analysis by Sheng-Syan Chen, Cheng-Few Lee, and Keshab Shresth
Applications of Intertemporal CAPM on International Corporate Finance and Mutual Fund Research by JR Chang, Cheng-Few Lee, and M W Huang
What Drives Variation in the International Diversification Benefits? A Cross-country Analysis” by Wan-Jiun Paul Chiou and Kuntara Pukthuanthong
A heteroskedastic Black-Litterman portfolio optimization model with views derived from a predictive regression by Wei-Hung Lin, Huei-Wen Teng, and Chi-Chun Yang
Pricing Fair Deposit Insurance: Structural Model Approach by Tzu Tai, Cheng-Few Lee, Tian-Shyr Dai, Keh Luh Wang, and Hong-Yi Chen
Application of Structural Equation Modeling in Behavioral Finance: A Study on the Disposition Effect by Chang Hsin-Hue
External Financing Needs and Early Adoption of Accounting Standards: Evidence from the Banking Industry by Sophia I-Ling Wang
Improving the Stock Market Prediction with Social Media via Broad Learning by Xi Zhang and Philip S. Yu
Sourcing Alpha In Global Equity Markets: Market Factor Decomposition And Market Characteristics by Dr. S.S. Mohanty
Support Vector Machines Based Methodology for Credit Risk Analysis by Jianping Li, Mingxi Liu, Cheng-Few Lee, and Dengsheng Wu
Data Mining Applications in Accounting and Finance Context by Wikil Kwak, Yong Shi, and Cheng-Few Lee
Tradeoff between reputation concerns and economic dependence for auditors—Threshold regression approach by Fang-Chi Lin, Chin-Chen Chien, Cheng-Few Lee, Hsuan-Chu Lin, and Yu-Cheng Lin
The ASEAN Economic Community: Analysis Based On Fractional Integration And Cointegration by Luis Alberiko Gil-Alana, University of Navarra and Hector Carcel, Bank of Lithuania
Alternative Methods for Determining Option Bounds: A Review and Comparison by Cheng-Few Lee, Zhaodong Zhong, Tzu Tai,and Hongwei Chuang
Financial Reforms and The Differential Impact of Foreign versus Domestic Banking Relationships on Firm Value by Hai-Chin Yu, Cheng-Few Lee and Ben Sopranzetti
Time-Series Analysis: Components, Models, and Forecasting by Cheng-Few Lee
Itô’s Calculus and the Derivation of the Black Option-Pricing Model-Scholes by Malliaris A.G. and George Chalamandaris
Durbin-Wu-Hausman Specification Tests by Robert H. Patrick
Jump Spillover and Risk Effects on Excess Returns in the United States During the Great Recession by Jessica Schlossberg and Norman R. Swanson
Earnings Forecasts and Revisions, Price Momentum, and Fundamental Data: Further Exploration of Financial Anomalies by John B. Guerard Jr. and Andrew Mark
Ranking Analysts by Network Structural Hole by Re-Jin Guo, Yingda Lu, and Lingling Xie
The Association Between Book-Tax Differences and CEO Compensation by Kin-Wai Lee and Gillian Hian-Heng Yeo
Stochastic Volatility Models: Faking a Smile by Dean Diavatopoulos and Oleg Sokolinskiy
Entropic Two-Asset Option by Tumellano Sebehela
The Joint Determinants of Capital Structure and Stock Rate of Return: A LISREL Model Approach by Hong-Yi Chen, Cheng-Few Lee and Tzu Tai
Time–Frequency Wavelet Analysis of Stock Market Co-Movement Between and Within Geographic Trading Blocs by Bilel Kaffel and Fathi Abid
Alternative errors-in-variables models and their applications in finance research by Hong-Yi Chen, Alice C. Lee, and Cheng-Few Lee
Simultaneously Capturing Multiple Dependence Features in Bank Risk Integration: A Mixture Copula Framework by Xiaoqian Zhu, Dengsheng Wu, Jianping Li
GPU Acceleration for Computational Finance by Chuan-Hsiang Han
Does VIX Truly Measure Return Volatility? by K. Victor Chow, Wanjun Jiang, and Jingrui Li
An ODE approach for the expected discounted penalty at ruin in a jump-diffusion model by Yu-Ting Chen, Cheng-Few Lee, and Yuan-Chung Sheu
How Does Investor Sentiment Affect Implied Risk-Neutral Distributions of Call and Put Options? by Wen-Ming Szu, Yi-Chen Wang, and Wan-Ru Yang
Intelligent Portfolio Theory and Strength Investing in the Confluence of Business & Market Cycles and Sector & Location Rotations by Heping Pan
Evolution Strategy Based Adaptive Lq Penalty Support Vector Machines with Gauss Kernel for Credit Risk Analysis by Jianping Li, Gang Li, Dongxia Sun, and Cheng-Few Lee
Product Market Competition And CEO Pay Benchmarking by Ivan E. Brick and Darius Palia
Equilibrium Rate Analysis of Cash Conversion Systems: The Case of Corporate Subsidiaries by Weiwei Chen, Benjamin Melamed, Oleg Sokolinskiy, and Ben Sopranzetti
Is the market portfolio mean–variance efficient? by Robert R. Grauer
Consumption-Based Asset Pricing with Prospect Theory and Habit Formation by Jr-Yan Wang and Mao-Wei Hung
An Integrated Model for the Cost-Minimizing Funding of Corporate Activities over Time by Prof. Manak C. Gupta
Empirical Studies of Structural Credit Risk Models and the Application in Default Prediction: Review and New Evidence by Han-Hsing Lee, Ren-Raw Chen, and Cheng-Few Lee
Empirical Performance of the Constant Elasticity Variance Option Pricing Model by Ren Raw Chen, Cheng-Few Lee, and Han-Hsing Lee
The Jump Behavior of Foreign Exchange Market: Analysis of Thai Baht by Jow-Ran Chang, Mao-Wei Hung,Cheng-Few Lee, and Hsin-Min Lu
The Revision Of Systematic Risk On Earnings Announcement In The Presence of Conditional Heteroscedasticity by Chin-Chen Chien, Cheng-Few Lee, and She-Chih Chiu
Applications of Fuzzy Set to International Transfer Pricing and Other Business Decisions by Wikil Kawk and Yong Shi, Seesok Lee and Cheng-few Lee
A time-series bootstrapping simulation method to distinguish sell-side analysts’ skill from luck by Chen Su and Hanxiong Zhang
Acceptance Of New Technologies By Employees In Financial Industry by Veronika Belousova, Vasily Solodkov, Nikolay Chichkanov, and Ekaterina Nikiforova
Alternative Method for Determining Industrial Bond Ratings: Theory and Empirical Evidence by Lie-Jane Kao and Cheng-Few Lee
An Empirical Investigation of the Long Memory Effect on the Relation of Downside Risk and Stock Returns by Cathy Yi-Hsuan Chen and Thomas C. Chiang
Analysis of Sequential Conversions of Convertible Bonds: A Recurrent Survival Approach by Lie-Jane Kao, Li-Shya Chen, and Cheng-Few Lee
Determinants of euro-area bank CDS spreads by Maria-Eleni K. Agoraki, Dimitris A. Georgoutsos, and George T. Moratis
Dynamic Term Structure Models Using Principal Components Analysis Near The Zero Lower Bound by Januj A. Juneja
Effects Of Measurement Errors On Systematic Risk And Performance Measure Of A Portfolio by Cheng-Few Lee and Frank C. Jen
Forecasting Net Charge-Off Rates of Banks: A PLS Approach by James R. Barth, Sunghoon Joo, Hyeongwoo Kim, Kang Bok Lee, Stevan Maglic, and Xuan Shen
Application of Filtering Methods in Asset Pricing by Hao Chang and Yangru Wu
Sampling Distribution of the Relative Risk Aversion Estimator: Theory and Applications by Marvin J. Karson, David C. Cheng, And Cheng-Few Lee
Social Media, Bank Relationships and Firm Value by Chia-Hui Chao and Hai-Chin Yu
Splines, Heat, and IPOs: Advances in the Measurement of Aggregate IPO Issuance and Performance by Zachary A. Smith, PhD, Mazin A. M. Al Janabi, PhD, and Muhammad Z. Mumtaz, PhD
The Effects Of The Sample Size, The Investment Horizon And Market Conditions On The Validity Of Composite Performance Measures: A Generalization by Son-Nan Chen and Cheng-Few Lee
The Sampling Relationship Between Sharpe’s Performance Measure And Its Risk Proxy: Sample Size, Investment Horizon And Market Conditions by Son-Nan Chen and Cheng-Few Lee
VG NGARCH versus GARJI Model For Asset Price Dynamics by Lie-Jane Kao and Cheng-Few Lee
Why Do Smartphones And Tablets Users Adopt Mobile Banking by Veronika Belousova and Nikolay Chichkanov
Non-parametric Inference on Risk Measures for Integrated Returns by Henghsiu Tsai, Hwai-Chung Ho, and Hung-Yin Chen
Copulas And Tail Dependence In Finance by Wing-Choong Lai and Kim-Leng Goh
Some Improved Estimators of Maximum Squared Sharpe Ratio by Siu Kai Choy and Bu-qing Yang
Errors-in-Variables and Reverse Regression by Shafiqur Rahman and Cheng-Few Lee
The role of financial advisors in M&As: Do domestic and foreign advisors differ? by Kai-Shi Chuang
Discriminant Analysis, Factor Analysis, And Principal Component Analysis: Theory, Method, And Applications by Cheng-Few Lee
Credit Analysis, Bond Rating Forecasting, And Default Probability Estimation by Cheng-Few Lee
Market Model, CAPM, And Beta Forecasting by Cheng-Few Lee
Utility Theory, Capital Asset Allocation, and Markowitz Portfolio-Selection Model by Cheng-Few Lee
Single-Index Model, Multiple-Index Model, and Portfolio Selection by Cheng-Few Lee
Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis by Paul Chiou and Cheng-Few Lee
Options and Option Strategies: Theory and Empirical Results by Cheng-Few Lee
Decision Tree and Microsoft Excel Approach for Option Pricing Model by Jow-Ran Chang and John Lee
Statistical Distributions, European Option, American Option, and Option Bounds by Cheng-Few Lee
A Comparative Static Analysis Approach to Derive Greek Letters: Theory and Applications by Cheng-Few Lee
Fundamental Analysis, Technical Analysis, and Mutual Fund Performance by Cheng-Few Lee
Bond Portfolio Management, Swap Strategy, Duration, and Convexity by Cheng-Few Lee
Synthetic Options, Portfolio Insurance, and Contingent Immunization by Cheng-Few Lee
Alternative Security Valuation Model: Theory and Empirical Results by Cheng-Few Lee
Opacity, Stale Pricing, Extreme Bounds Analysis, and Hedge Fund Performance: Making Sense of Reported Hedge Fund Returns by Zachary A. Smith, Mazin A. M. Al Janabi, Muhammad Z. Mumtaz
Does Quantile Co-integration Exist between Spot and Futures Gold Prices? by Hai-Chin Yu, Chia-Ju Lee, and Der-Tzon Hsieh
Bayesian Portfolio Mean–Variance Efficiency Test with Sharpe Ratio’s Sampling Error, by LieJane Kao, Huei Ching Soo and Cheng-Few Lee
Does Revenue Momentum Drive or Ride Earnings or Price Momentum? by Hong-Yi Chen, Sheng-Syan Chen, Chin-Wen Hsin and Cheng-Few Lee
Technical, Fundamental, and Combined Information for Separating Winners from Losers, by Hong-Yi Chen, Cheng-Few Lee, and Wei K. Shih.
Optimal Payout Ratio under Uncertainty and the Flexibility Hypothesis: Theory and Empirical Evidence by Cheng-Few Lee, Manak C. Gupta, Hong-Yi Chen, and Alice C. Lee.
Sustainable Growth Rate, Optimal Growth Rate, and Optimal Payout Ratio: A Joint Optimization Approach by Hong-Yi Chen, Manak C. Gupta, Alice C. Lee and Cheng-Few Lee
Cross-sectionally correlated measurement errors in two-pass regression tests of asset-pricing models by Thomas Gramespacher, Armin Bänziger, and Norbert Hilber
“Asset Pricing with Disequilibrium Price Adjustment: Theory and Empirical Evidence,” (with Chiung-Min Tsai and Alice C. Lee), Quantitative Finance , Volume 13, Number 2, Pages 227–240, 2013.
“A Dynamic CAPM with Supply Effect Theory and Empirical Results,” (with Chiung-Min Tsai and Alice C. Lee), Quarterly Review of Economic and Finance , Volume 49, Issue 3, August 2009, Pages 811–828.
Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default by Michael Lee and Huei-Wen Teng
Alternative Methods to Derive Option Pricing Models: Review and Comparison by Cheng-Few Lee and Yibing Chen
“Option Prices and Stock Market Momentum: Evidence from China” with Jianping Li, Yanzhen Yao, and Yibing Chen, Quantitative Finance, Published online: 23 Apr 2018
Advancement of Optimal Portfolios with Short-sales and Transaction Costs: Modeling and Effectiveness by Paul Chiou and Jing-RungYu
The path leading up to the new IFRS 16 leasing standard: how was the restructuring of lease accounting received by different advocacy groups? By Christian Blecher and Stephanie Kruse
Implied Variance Estimates For Black–Scholes And CEV OPM: Review And Comparison by Cheng-Few Lee, Yibing Chen,and John Lee
Crisis Impact on Stock Market Predictability by Rajesh Mohnot
How Many Good and Bad Funds Are there, Really? Wayne Ferson and Yong Chen
Constant Elasticity Of Variance Option Pricing Model: Integration And Detailed Derivation by Y.L. Hsu, T.I. Lin, and Cheng-Few Lee
An Integral-Equation Approach For Defaultable Bond Prices With Application To Credit Spreads by Yu-Ting Chen, Cheng-Few Lee, and Yuan-Chung Sheu
Sample Selection Issues and Applications by Hwei-Lin Chuang and Shih-Yung Chiu
Time Series and Neural Network Analysis by K. C. Tseng, Ojoung Kwon, and Luna C. Tjung
Covariance Regression Model for Non-normal Data by Tao Zou, Ronghua Luo,Wei Lan and Chih-Ling Tsai
Impacts of Time Aggregation on Beta Value and R Squared Estimations Under Additive and Multiplicative Assumptions: Theoretical Results and Empirical Evidence by Yuanyuan Xiao, Yushan Tang, and Cheng-Few Lee
Large-sample Theory by Sunil S. Poshakwale and Anandadeep Mandal
Impacts of Measurement Errors on Simultaneous Equation Estimation of Dividend and Investment Decisions by Cheng-Few Lee and Fu-Lai Lin
Big data and Artificial Intelligence in Banking Industry by T. Robert Yu and Xuehu (Jason) Song
A Non-Parametric Examination of Emerging Markets Financial Integration by Ke Yang, Susan Wahab, Bharat Kolluri, and Mahmoud Wahab
ALAN—Algorithmic Analyst An application for Artificial Intelligence Content as a Service by Ted Hong, Daniel Lee, Wen-Ching Wang
Survival Analysis: Theory and Applications in Finance by Feng Gao and Xiaomin He
Pricing Liquidity in the Stock Market by Ding Du and Ou Hu
The Evolution of Capital Asset Pricing Models: Update and Extension by Yi-Cheng Shih, Sheng-Syan Chen, Cheng-Few Lee, and Po-Jung Chen
The Multivariate GARCH Model and Its Application to East Asian Financial Market Integration by Yoshihiko Tsukuda, Junji Shimada, and Tatsuyoshi Miyakoshi
Review of Difference-in-Difference Analyses in Social Sciences: Application in Policy Test Research by William H. Greene and Min (Shirley) Liu
Using Smooth Transition Regressions to Model Risk Regimes by Liam A. Gallagher, Mark C. Hutchinson, and John O’Brien
Application of Discriminant Analysis, Factor Analysis, Logistic Regression, and KMV-Merton Model in Credit Risk Analysis by Cheng-Few Lee
Predicting Credit Card Delinquencies: An Application of Deep Neural Networks by Ting Sun and Miklos A. Vasarhalyi
Estimating the Tax-Timing Option Value of Corporate Bonds by Peter Huaiyu Chen, Sheen Liu, and Chunchi Wu
DCC-GARCH Model for Market and Firm-Level Dynamic Correlation in S&P 500 by Peimin Chen, Chunchi Wu, and Ying Zhang
Using Path Analysis to Integrate Accounting and Non-Financial Information: The Case for Revenue Drivers of Internet Stocks by Anthony Kozberg
The Implications Of Regulation In The Community Banking Sector: Risk And Competition by Gregory McKee and Albert Kagan
The number following each keyword indicates the chapter where the keyword can be found.
Accounting beta (79), Acquisitions (116), Adaptive penalty (44), Additive and Multiplicative Rates of Return (114), Advocacy Groups (105), AI Content as a Service (AICaaS) (119), Algorithmic bias (117), American option (84, 85), American options (24), Analyst coverage network (31), Analyst recommendation revisions (55), Analysts’ information (2), Analytic hierarchy process (21), Announcement returns (76), Approximation Approach (106), ARCH (119), ARCH & GARCH (107), ARCH (Autoregressive conditional heteroscedasticity) (11), ARCH method (11), Archimedean copula (73), ARIMA (119), ARIMA-GARCH model (6), ARIMA models (87), Artificial intelligence (101, 117, 127), Artificial Regression (28), ASEAN (23), Asian financial crisis (52), Asset (100), Asset allocation (80), Asset Portfolio (43), Asset pricing (10, 12, 98), Asset Pricing Tests (1), Asymmetric Information (66), Asymmetric taxes (128), Audit fees (3, 22), Audit opinion prediction (21), Auditor change (21), Auditor independence (22), Auditor reputation (22), and Autoregressive forecasting model (26).
Balance of trade (23), Bank credit risk (60), Bank regulatory compliance (117), Bank Relationships (66), Bank risk (38), Banking (56), Bankruptcy (15, 21), Banks (17), Barrier option (15), Basel committee on banking supervision (38), Bayes estimation (74), Bayes factor (93), Bayes rule (108), Bayesian Approach (37), Bayesian factor (52), Bayesian net (21), Bayesian test (93), Behavior finance (122), Behavioral finance (16), Beta coefficient (81), Betting Against Beta (19), Big data (21, 117), Binomial option pricing model (84, 102), Bipower variation tests (29), Black-Litterman model (14), Black–Scholes model (84), Black–Scholes option pricing model (102), Bond price (110), Bond strategies (88), Book–tax conformity (3), Book-tax differences (32), Book-to-market (10, 121), Booting (101), Bootstrap (108), BOS ratio (95), Box–Cox transformation (1), and Box-Jenkins ARIMA Methodology (112).
Calendar (Time) Spreads (83), Calibration (33), Call option (84), Capital Asset Pricing Model (19, 37), Capital gain (128), Capital structure (35, 37), Capital-Rationed Firms (46), CAPM (53, 79, 100), CARA utility function (11), Cash Conversion Cycle (46), Cash Conversion System (46), Causal inference (124), Centrality (9), CEO compensation (32, 45), CEO talent (45), CEV Model (106), China (21), Classical Method (37), Clayton copula (73), Clustering effect model (1), Coefficient Determination (114), Cognitive biases (16), Coincident indicators (26), Co-integration and error assertion method effectiveness (11), Collar (83), Collective correlation (8), Combination forecasting model (6), Combined investment strategy (95), Comment Letters (105), Commodity diversifier (4), Common stock valuation (90), Commonality (2), Community bank (131), Component analysis (87), Composite forecasting (79, 87), Computational finance (39), Concave utility function (80), Conditional multivariate F test (93), Conditional tail expectation (72), Conditional Value at Risk model (104), Confidence index (87), Confirmatory factor analysis (CFA) (35), Conservative-Minus-Aggressive (19), Constant Elasticity of Variance Model (109), Constant–Elasticity-of-Variance (CEV) process (51), Consumer sentiment (42), Consumption-based asset pricing model (48), Contagion (129), Continuous wavelet analysis (4), Corporate governance (32), Correlation (118), Correlation breakdown (8), Cost of Capital (37, 100), Cost-minimization (49), Covariance (81), Covariance Regression Model (113), Covered Call (83), Cox Process (34), Credit analysis (78), Credit card (101), Credit Card Delinquency (127), Credit Default Swaps (60), Credit risk (38, 101), Credit risk classification (20, 44), Credit spread (110), Credit-scoring model (57), Cross section of stock returns (121), Cross-section data (26), CRSP value-weighted index (93), Currency risk (12), and Cyclical component (26).
Data mining (21, 55), DCC-GARCH model (123), DCC-MVGARCH (129), Debt-like signal (59), Decision Table (21), Decision tree (21, 101), Decomposition of estimated regression coefficient (62), Deep Learning (119), Deep Neural Network (127), Default (101), Default barrier (110), Default Prediction (50), Default probability (78, 126), Default risk (128), Delinquency (101), Delta (∆) (86), Demand function (99, 122), Deposit insurance (15), Difference-in-differences (124), Dimension reduction (8), Direct and reverse regression (75), Direct effect (130), Disclosure and counter-signaling (17), Discounted value (49), Discriminant analysis (77, 78, 126), Discriminatory power (57), Disequilibrium effect (99), Disequilibrium estimation method (1), Disequilibrium model (99), Disposition effect (16), Disruptive technologies (56), Distributed Lag Models (91), Diversification (116), Diversification benefits (13), Dividend Policy (97, 116), Dividends (96), Dodd-Frank (131), Domestic and foreign advisors (76), Dow theory (87), Down-and-Out Barrier model (50), Downside risk (58), DTSM (Dynamic term structure models) (61), Due Process (105), Duration (88), Durbin, Wu, Hausman (DWH) Specification Tests (28), Dynamic capital budgeting decision (5), Dynamic CAPM (122), Dynamic conditional correlation (123, 129), Dynamic conditional variance decomposition (123), Dynamic Factors (63), and Dynamic hedging (89).
Early adoption (17), Earnings forecasts (30), Earnings management (32), Earnings revisions (30), Earnings Surprises (94), East Asian bond and stock markets (123), Econometric and statistical methods (47), Efficiency (131), Efficiency hypothesis (32), EGARCH model (14), Elliptical copula (73), Emerging markets (25), Empirical methods (131), Empirical performance (51), Employees (56), Endogeneity (28), Endogenous industry structure (45), Endogenous supply (100), Endogenous variables (5), Equality of tail risks (72), Equity-like signal (59), Error correction model (6), Errors-in-Variables (37, 75, 98, 116), Estimate Implied Variance (106), Estimation (116), Estimation Approach (50), Estimation Stability (114), ETFs (29), Euler equations (12), European options (24, 84), Event extraction (18), Evolution strategy (44), Ex ante probability (70), ex Post Sharpe ratio (93), Exactly identified (100), Ex-ante moments (40), Excel program (84), Excel VBA (84), Excess returns (29), Exchange Option (34), Exogenous variables (5), Expected discounted penalty (41), Expected payoff (7), Explanatory power (57), Exponential smoothing (26), Exponential smoothing constant (26), Extended Kalman Filter (64), External financing (17), Extra-legal institution (3), and Extreme Bound Analysis (91).
Factor analysis (77, 78, 126), Factor attributes (119), Factor loading (10, 77, 78), Factor models (10), Factor score (77), False discovery rates (108), Fama and French factor models (121), FDIC (15), Feature extraction (20), Feltham-Ohlson model (90), Finance—Investment (69), Financial constraints (49), Financial Crisis (107), Financial Econometrics (61), Financial market integration (123), Financial mathematics (1), Financial ratios (90), Financial reform (25), Financial statement analysis (95), Financial statistics (1), Financial technology (1), Financial z-score (78, 126), Financing costs (49), Finite sample (74), Finite difference method of the SV model (51), Firm Value (66), First-difference method (124), Fixed Effects (FE) (28), Fixed-effects model (96), Flexibility hypothesis (96), Forecast timeliness (31), Forecasting Stock Prices (112), Foreign bank debt (25), Foreign bank relationships (25), Fractional integration (23), Francis and Rowell model (90), Fund performance (108), Fundamental analysis (87, 95, 112), Funding decisions (49), Funding requirements (49), Future Contract (92), Fuzzy set (21, 54), and Fuzzy regression (1).
Gamma () (86), GARCH (1,1) (123), GARCH (Generalized Autoregressive conditional heteroscedasticity) (11), GARCH method (11), GARCH model (14), GARCH-jump (70), GARJI model (70), Gaussian copula (73), Gauss-Markov conditions (115), Generalize fluctuation (1), Generalized Method of Moments (GMM) (28), Global financial market integration (118), Global investing (119), Goal programming (57), Gold (4, 92), Goodness of fit (108), GPU (39), Great Recession (29), Grouping Method (37), Growth Rate (97), GRS test (10), Gumbel copula (73), GV-Spread (40), GVIX Index (40), Habit formation (48), Hazard model (78, 126), Heckman’s Two-Stage Estimation (111), Hedge Fund (108, 125), Hedge Funds Performance (91), Hedge ratio (11), Hedging (86), Herding Behaviors (113), Heteroskedasticity (52), High frequency data (39), High-frequency data (29), High-frequency jumps (29), High-Minus-Low (19), High-ranked analysts (31), Holt/Winters Exponential Smoothing (112), Holt–Winters forecasting model (26), and Hyper-parameter optimization (20).
Identification (28), Identification problem (116), Idiosyncratic standard deviation (78), Idiosyncratic risk (98), Implied risk-neutral distribution (42), Implied volatility (39, 40), Implied volatility Smile/skew/surface (33), Implied volatility spread (103), Incomplete market (24), Indifference curve (80), Indirect effect (130), Industry portfolios (121), Inference (72), Information fusion (18), Initial Public Offerings (67), Instrumental Variable Method (37), Instrumental Variables (IV) (28), Insurance premium (15), Integrated process (72), Intelligent Portfolio Theory (43), Intention (71), Interconnectedness (9), Interest-rate anticipation swap (88), Intermarkert-spread swap (88), Internal Capital Market (46), Internal control weakness (21), International CAPM (122), International finance (12), International portfolio (13), International stock market linkage (36), Internet stock (130), Intertemporal (12), Intertemporal CAPM (122), Intervention (6), Inverse Fourier Transform and Poisson Process (34), Investment (10, 13, 121), Investment banks (76), Investment constraints (13), Investment decision (116), Investment Eq. (37), Investment Horizon (68), Investment horizons (4), Investor sentiment (42), IPO Issuance and Performance (67), Irregular component (26), and Itô’s lemma (27).
Japan (21), Jump (52), Jump diffusion (110), Jump risks (29), Jump spillover (29), Jump-diffusion (41), Kalman filter (53, 64), Kernel function selection (20), Kernel Smoothing (108), Key borrower (9), KMV-Merton model (78, 126), K-nearest neighbours (101), Korea (21), Kruskal–Wallis Test (105), Kurtosis (7), Lagging indicators (26), Lagrangian calculus maximization (81), Lagrangian multipliers (82), Lagrangian objective function (80), Large-sample theory (115), Leading indicators (26), Lease Accounting (105), Leverage effect (58), Linear programming (7, 24, 81), Linear utility function (80), Linear-equation system (77), Liquidity risk (10), Liquidity shocks (121), Liquidity-based CAPM (122), LISREL (35), LISREL Method (37), Logistic Equation (97), Logistic regression (126), Logit (21), Logit model (78), Logit regression (1), Log-normal distribution (85), Lognormal distribution method (102), Long call (83), Long memory (23, 58), Long Put (83), Long Straddle (83), Long Vertical (Bull) Spread (83), Loss aversion (48), Low interest rate environment (61), Lower bound (7), and LSTM (119).
Machine learning (101, 117, 119, 127), Make-to-Stock Inventory (46), Management earnings forecasts (2), Managerial implications (131), Mann–Whitney Test (105), Market beta (79), Margrabe Model (34), Market model (79, 81), Market portfolio (10), Market risk (38), Markovian Models (46), Markowitz modern portfolio theory (14), Mathematical Programming Method (37), Matlab (39), MATLAB Approach (106), Matrices (77), Maturity (88), Maximum likelihood estimation (50, 73), Maximum Likelihood Estimation (MLE) (50), Maximum likelihood estimator (65, 99), Maximum Likelihood Method (37), Maximum mean extended-gini coefficient hedge ratio (11), Mean Reverting Process (97), Mean squared error (26), Mean–variance capital asset pricing (47), Mean–variance efficiency (93), Measurement Error (28, 37, 62, 75, 98), Mental accounting (16), Mergers (116), Mergers and acquisitions (76), Merton distance model (126), MINIMAX goal programming (57), Minimum generalized semi-variance hedge ratio (11), Minimum value at risk hedge ratio (11), Minimum variance hedge ratio (11), Minimum variance unbiased estimator (65), Mixture copula (38), Mixture Kalman Filter (64), Mobile banking (71), Model of Ang and Piazzesi ( 2003 ) (61), Model of Joslin et al. ( 2013 ) (61), Model of Joslin et al. ( 2011 ) (61), Moderating effect (16), Momentum (10, 19, 121), Momentum factor (103), Momentum Strategies (94, 95), Money market liquidity premium (121), Moral hazard (15), Moving average (87), Multi variable spew-normal distribution method (11), Multi-Factor Risk model (119), Multinomial Logit Model (111), Multiperiod dynamic CAPM (99), Multiple criteria and multiple constraint level (MC2) linear programming (54), Multiple criteria linear programming data mining (21), Multiple discriminant analysis (21), Multiple factor transfer pricing model (54), Multiple-index model (81), Multivariate Discriminant Analysis (MDA) (78), Multivariate F test (10), Multivariate GARCH (129), Multivariate log-normal distribution (85), Multivariate normal distribution (85), Multi-factor and multi-indicator (MIMIC) model (1), and Mutual fund (108).
Natural Language Generation (119), Natural language processing (21), Net Charge-Off Rates (63), Neural network (101), Neural Network Model (112), NLG (119), Non parametric tests (28), Nonaudit fees (22), Noncentral Chi Square Distribution (109), Nonlinear regression (1), Noncentral t distribution (65, 69), Non-Financial Information (130), Non-normal Data (113), Non-parametric (24), Non-parametric method (120), Non-parametric regression (118), Non-systematic risk (79), Normal distribution (85), N-Period OPM (84), Numerical experiment (51), Odd-Lot theory (87), OLS (45), Omega model (104), Omitted Variables (28), One-period OPM (84), Operating profitability (121), Operational risk (38), Optimal capital structure (41), Optimal financial policy (49), Optimization (49), Optimum mean variance hedge ratio (11), Optimum mean MEG hedge ratio (11), Option (128), Option bound (7, 85), Option bounds (24), Option price (103), Option pricing (33, 109), Option pricing model (51), Options pricing (27), and Out-of-Sample Forecasts (63).
Panel Data (28), Panel vector auto-regressions (60), Parallel computing (39), Parametric method (120), Partial adjustment (100), Partial Adjustment Model (97), Partial Least Squares (63), Particle Filter (64), Partition function (8), Past stock returns (103), Path analysis (1, 130), Payout policy (96), Payout Ratio (97), PCA (Principal components analysis) (61), PCDTSM (Principal component-based DTSM) (61), Peer Benchmarking (45), Percentage of moving average (26), Performance Manipulation (91), Performance measure (62), Phase-type distribution (41), Planning horizon (49), Poisson regression (1), Policy (15), Policy analyses (124), Portfolio (69), Portfolio construction (30), Portfolio management (30), Portfolio optimization (30), Portfolio selection (104), Portfolio theory (30), Post-Earnings-Announcement Drift (94), Post-earnings-announcement drifts (53), Power index (9), Predictability (107), Price pressure (103), Principal Component Analysis (63), Principal components model (118), Probability integral transform (73), Probability limit for regression coefficient (62), Probit (21), Probit Model (111, 126), Probit regression (1), Product market competition (45), Production cost (90), Profitability (10), Prospect theory (48), Protective Put (83), Pure-yield-pickup swap (88), Put option (84), Put options (89), Put-call parity (83), Put–call parity (42), and Python (101).
Quadratic cost (100), Quality-Minus-Junk (19), Quantile (25, 72), Quantile Co-integrated (92), Quantitative analysis (18), Random Coefficient Model (114), Random coefficient method (11), Random Effects (RE) (28), Realized variation (33), Recurrent survival analysis (59), Reduced-form (100), Regime-switching GARCH method (11), Regret avoidance (16), Related Mergers (116), Relative risk aversion distribution (65), Rent-seeking hypothesis (32), Revenue Surprises (94), Rho ( \(\rho\) ) (86), Risk Assessment (127), Risk aversion (80), Risk dependence (38), Risk integration (38), Risk management (38, 129), Risk-free rate (82), Risk-mitigating effect (59), Risk-return tradeoff (58), Risk-shifting (59), RNN (119), Robo-advisor (117), Robust Hausman (28), Robust standard errors that incorporate firm-level clustering (45), and Robust-Minus-Weak (19).
Sample estimators (115), Sample properties (115), Sample Selection Bias (111), Sample Size (68), Sarbanes–Oxley (131), Scoring system (119), Seasonal component (26), Seasonal index (26), Seasonal index method (26), Sector & Location Rotation (43), Security market line (122), Seemingly Unrelated Regression (SUR) (25, 100), Self-Control (16), Sell-side analysts (55), Semi-parametric (24), Semi-parametric method (7, 120), Semi-parametric regressions (118), Sentiment analysis (18), Sequential Conversion (59), Shape parameter (70), Sharpe (68), Sharpe hedge ratio (11), Sharpe performance measure (82), Sharpe ratio (74), Short Call (83), Short Put (83), Short sales allowed (82), Short sales not allowed (82), Short selling (80, 104), Short Straddle (83), Short Vertical (Bear) Spread (83), Significance Identification (105), Simple summation approach (38), Simulation (7, 98), Simulation and Bootstrap techniques (28), Simultaneous econometric models (5), Simultaneous Equations (100), Simultaneous equations systems (116), Single-index model (81), Size (10, 121), Skewness (7), Sklar’s theorem (73), Small-Minus-Big (19), Social Media (66), Social network (18), Sources of funds (49), Specification Error (97), Spline Regression Analysis (67), Stale pricing (91), Standardized Student’s t-distribution (73), State-space Model (64), Static CAPM (122), Statistical Analysis of Response Behavior (105), Statistics—Sampling (69), Stochastic calculus (102), Stochastic dominance (7, 24), Stochastic volatility (33), Stochastic volatility model (72), Stochastic volatility model with independent jumps (52), Stock correlation (18), Stock index futures (89), Stock market liquidity (121), Stock market momentum (103), Stock Market Returns (107), Stock prediction (18), Stock repurchase (59), Stock Return Comovement (113), Stop-loss orders (89), Strength Investing (43), Structural breaks (61), Structural change (1), Structural Credit Risk Model (50), Structural equation model (16), Structural equation modeling (SEM) (35), Structural hole (31), Student’s t copula (73), Subsidiaries (46), Substitution swap (88), Supervised learning (101), Supply Chain Financial Management (46), Supply function (99, 122), Support Vector Machine (44, 101), Support vector machines (20, 21), SUR (5), Survival analysis (120), Survival model (21), Swapping (88), Synergies (116), Synthetic option (84, 89), Systematic risk (62, 79), Systematic Risk Coefficient (114), and Systemic importance (9).
TAIEX options (42), Tail dependence (38, 73), Tail risk (58), Tail wag the dog (89), Tax timing (128), Technical analysis (87, 95, 112), Technologies acceptance (56), Technology acceptance (71), Temporal Aggregation (114), Test (72), Test power (108), The investor’s views (14), Theta ( \(\varTheta\) ) (86), Three-stage least squares estimation (3SLS) method (1), Threshold regression model (22), Time Series Decomposition (112), Time-series Bootstrapping simulations (55), Time-series data (26), Time-series regression (121), Total risk (79), Trading Strategies (108), Trading Strategy Portfolio (43), Trading volume (87, 95), Trading-day component (26), Transaction cost (128), Transaction costs (104), Transfer function model (6), Transfer pricing (54), Tree model (15), Trend component (26), Trend Following, Business & Market Cycle (43), Trend–cycle component (26), Treynor and Jensen Measures (68), Treynor performance measure (82), Two-pass regression (98), Two-period OPM (84), Two Stage Least Square method (116), U.S. (21), Unbiased estimation (74), Uncertainty (2), Unrelated Mergers (116), Unscented Kalman Filter (64), Upper bound (7), User adoption (71), Utility function (80), Utility theory (80), Validity and reliability (16), Value at Risk (72), Value at Risk model (104), Value-at-Risk (58), Variance–covariance approach (38), Variance-gamma process (70), Vectors (77), Vega ( \(\nu\) ) (86), VG NGARCH model (70), VIX (40), Volatility clustering (14), Warren and Shelton model (90), Wavelet coherence (36), Wavelet correlation (36), Wavelet multiple cross-correlation (36), X-11 model (26), ZLB (Zero lower bound) (61), 2SLS (5), and 3SLS (5).
Chapter 1: Introduction To Financial Econometrics, Mathematics, and Statistics
Chapter 2: Multiple Linear Regression
Chapter 3: Other Topics in Applied Regression Analysis
Chapter 4: Simultaneous Equation Models
Chapter 5: Econometric Approach to Financial Analysis, Planning, and Forecasting
Chapter 6: Fixed Effects versus Random Effects in Finance Research
Chapter 7: Alternative Methods to Deal with Measurement Error
Chapter 8: Three Alternative Methods in Testing Capital Asset Pricing Model
Chapter 9: Spurious Regression and Data Mining in Conditional Asset Pricing Model
Chapter 10: Time Series: Analysis, Model, and Forecasting
Chapter 11: Hedge Ratio and Time-Series Analysis
Chapter 12: The Binomial, Multinomial Distributions, and Option Pricing Model
Chapter 13: Two Alternative Binomial Option Pricing Model Approaches to Derive Black-Scholes Option Pricing Model
Chapter 14: Normal, Lognormal Distribution, and Option Pricing Model
Chapter 15: Copula, Correlated Defaults, and Credit VaR
Chapter 16: Multivariate Analysis: Discriminant Analysis and Factor Analysis
Chapter 17: Stochastic Volatility Option Pricing Models
Chapter: 18 Alternative Methods to Estimate Implied Variance: Review and Comparison
Chapter 19: Numerical Valuation of Asian Options with Higher Moments in the Underlying Distribution
Chapter 20: Ito’s Calculus: Derivation of the Black–Scholes Option Pricing Model
Chapter 21: Alternative Methods to Derive Option Pricing Models
Chapter 22: Constant Elasticity of Variance Option Pricing Model: Integration and Detailed Derivation
Chapter 23: Option Pricing and Hedging Performance under Stochastic Volatility and Stochastic Interest Rates
Chapter 24: Nonparametric Method for European Option Bounds
Experience, Information Asymmetry, and Rational Forecast Bias
An Overview Of Modeling Dimensions For Performance Appraisal Of Global Mutual Funds
Simulation as a Research Tool for Market Architects
The Motivations for Issuing Putable Debt: An Empirical Analysis
Multi Risk-Premia Model of US Bank Returns: An Integration of CAPM and APT
Non-Parametric Bounds for European Option Prices
Can Time-Varying Copulas Improve Mean–Variance Portfolio?
Determinations of Corporate Earnings Forecast Accuracy: Taiwan Market Experience
Market-Based Accounting Research (MBAR) Models: A Test of ARIMAX Modeling
An Assessment of Copula Functions Approach in Conjunction with Factor Model in Portfolio Credit Risk Management
Assessing Importance of Time-Series versus Cross-Sectional Changes in Panel Data: A Study of International Variations in Ex-Ante Equity Premia and Financial Architecture
Does Banking Capital Reduce Risk? An Application of Stochastic Frontier Analysis and GMM Approach
Evaluating Long-Horizon Event Study Methodology
The Effect of Unexpected Volatility Shocks on Intertemporal Risk-Return Relation
Combinatorial Methods for Constructing Credit Risk Ratings
Dynamic Interactions between Institutional Investors and the Taiwan Stock Exchange Corporation: One-regime and Threshold VAR Models
Methods of Denoising Financial Data
Analysis of Financial Time-Series using Fourier and Wavelet Methods
Composite Goodness-of-Fit Tests for Left Truncated Loss Sample
Effect of Merger on the Credit Rating and Performance of Taiwan Security Firms
On-/off-the-Run Yield Spread Puzzle: Evidence from Chinese Treasury Markets
Factor Copula for Defaultable Basket Credit Derivatives
Panel Data Analysis and Bootstrapping: Application to China Mutual Funds
Market Segmentation and Pricing of Closed-end Country Funds: An Empirical Analysis
A comparison of portfolios using different risk measurements
Using Alternative Models and a Combining Technique in Credit Rating Forecasting — An Empirical Study
Can we use the CAPM as an investment strategy? An intuitive CAPM and efficiency test.
Group Decision Making Tools for Managerial Accounting and Finance Applications
Statistics Methods Applied in Employee Stock Options
Structural Change and Monitoring Tests
Consequences of Option Pricing of a Long Memory in Volatility
Seasonal aspects of Australian electricity market
Pricing commercial timberland returns in the United States
Optimal Orthogonal Portfolios with Conditioning Information
Multi-factor, Multi-indicator approach to asset pricing: method and empirical evidence
Binomial OPM, Black–Scholes OPM and Their Relationship: Decision Tree and Microsoft Excel Approach
Dividend payments and share repurchases of U.S. firms: An econometric approach
Term Structure Modeling and Forecasting Using the Nelson-Siegel Model
The intertemporal relation between expected return and risk on currency
Quantile Regression and Value-at-Risk
Earnings Quality and Board Structure: Evidence from South East Asia
The Rationality and Heterogeneity of Survey Forecasts of the Yen-Dollar Exchange Rate: A Reexamination
Stochastic Volatility Structures and Intra-Day Asset Price Dynamics
Optimal Asset Allocation under VaR Criterion: Taiwan Stock Market
Applications of Switching Model in Finance and Accounting
Matched Sample Comparison Group Analysis
A Quasi-Maximum Likelihood Estimation Strategy for Value-at-Risk Forecasting: Application to Equity Index Futures Markets
Computer Technology for Financial Service
Long-Run Stock Return and the Statistical Inference
Value-at-Risk Estimation via a Semi-Parametric Approach: Evidence from the Stock Markets
Modeling Multiple Asset Returns by a Time-Varying t Copula Model
Internet Bubble Examination with Mean–Variance Ratio
Quantile Regression in Risk Calibration
Strike Prices of Options for Overconfident Executives
Density and Conditional Distribution Based Specification Analysis
Assessing the Performance of Estimators Dealing with Measurement Errors
Realized Distributions of Dynamic Conditional Correlation and Volatility Thresholds in the Crude Oil, Gold and Dollar/Pound Currency Markets
Pre-IT policy, Post IT policy and the Real Sphere in Turkey?
The Determination of Capital Structure: A LISREL Model Approach
Evidence on Earning Management by Integrated Oil and Gas Companies
A comparative study of two models SV with MCMC algorithm
Internal Control Material Weakness, Analysts’ Accuracy and Bias, and Brokerage Reputation
What Increases Banks’ Vulnerability to Financial Crisis: Short-Term Financing or Illiquid Assets?
Accurate Formulae for Evaluating Barrier Options with Dividends Payout and the Application in Credit Risk Valuation
Pension Funds: financial econometrics on the herding phenomenon in Spain and the United Kingdom
Estimating the Correlation of Asset Returns: A Quantile Dependence Perspective
Multi-Criteria Decision Making for Evaluating Mutual Funds Investment Strategies
Econometric Analysis of Currency Carry Trade
Evaluating the Effectiveness of Futures Hedging
Analytical bounds for Treasury bond futures prices
The Rating Dynamics of Fallen Angels and Their Speculative Grade-Rated Peers: Static versus Dynamic Approach
The roles of compensation scheme of portfolio managers, wealth and supply constraints, and the relative risk aversion of traders in the creation and control of speculative bubbles
Range Volatility: A Review of Models and Empirical Studies
Business Models: Applications to Capital Budgeting, Equity Value, and Return Attribution
VAR Models: Estimation, Inferences, and Applications
Model Selection for High-Dimensional Problems
Hedonic Regression Models
Optimal Payout Ratio under Uncertainty and the Flexibility Hypothesis: Theory and Empirical Evidence
Modeling Asset Returns with Skewness, Kurtosis, and Outliers
Alternative Models for Estimating the Cost of Equity Capital for Property/Casualty Insurers: Combined Estimator Approach
A VG-NGARCH Model for Impacts of Extreme Events on Stock Returns
Risk-Averse Portfolio Optimization via Stochastic Dominance Constraints
Implementation Problems and Solutions in Stochastic Volatility Models of the Heston Type
Stochastic Change-Point Models of Asset Returns and Their Volatilities
Unspanned Stochastic Volatilities and Interest Rate Derivatives Pricing
Alternative Equity Valuation Models
Time Series Models to Predict the Net Asset Value (NAV) of an Asset Allocation Mutual Fund VWELX
Discriminant Analysis and Factor Analysis: Theory And Method
Implied Volatility: Theory and Empirical Method
Measuring Credit Risk in a Factor Copula Model
Instantaneous Volatility Estimation by Nonparametric Fourier Transform Methods
A Dynamic CAPM with Supply Effect Theory and Empirical Results
A Generalized Model for Optimum Futures Hedge Ratio
Instrument Variable Approach to Correct for Endogeneity in Finance
Application of Poisson Mixtures in the Estimation of Probability of Informed Trading
CEO stock options and analysts’ forecast accuracy and bias
Option Pricing and Hedging Performance under Stochastic Volatility and Stochastic Interest Rates
4.1 part a: statistical analysis.
Data Collection, Presentation, and Yahoo Finance
Histograms and the Rate of Returns of JPM and JNJ
Numerical Summary Measures on Rate of Returns of Amazon, Walmart, and the S&P 500
Probability Concepts and Their Analysis
Discrete Random Variables and Probability Distributions
The Normal and Lognormal Distributions
Sampling Distributions and Central Limit Theorem
Other Continuous Distributions
Hypothesis Testing
Analysis of Variance and Chi Square Tests
Simple Linear Regression and the Correlation Coefficient
Simple Linear Regression and Correlation: Analyses and Applications
Multiple Linear Regression
Residual and Regression Assumption Analysis
Nonparametric Statistics
Time Series: Analysis, Model, and Forecasting
Index Numbers and Stock Market Indexes
Sampling Surveys: Methods and Applications
Statistical Decision Theory
Introduction to Excel Programming
Introduction to VBA Programming
Professional Techniques Used in Excel and Excel VBA Techniques
Binomial Option Pricing Model Decision Tree Approach
Microsoft Excel Approach to Estimating Alternative Option Pricing Models
Alternative Methods to Estimate Implied Variance
Greek Letters and Portfolio Insurance
Portfolio Analysis and Option Strategies
Simulation and Its Application
Application of Simultaneous Equation in Finance Research: Methods and Empirical Results
Hedge Ratios: Theory and Applications
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Lee, C.F. Financial econometrics, mathematics, statistics, and financial technology: an overall view. Rev Quant Finan Acc 54 , 1529–1578 (2020). https://doi.org/10.1007/s11156-020-00883-z
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Published : 22 April 2020
Issue Date : May 2020
DOI : https://doi.org/10.1007/s11156-020-00883-z
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What is the impact of Trump’s tweets? Financial econometrics is all about applying statistical methods to financial market data. Areas of study include capital markets, financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of individual stocks, bonds, derivatives, currencies and other financial instruments. This is one of the tracks you can opt for in our Master's in Econometrics.
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College and university professors require students to write about econometrics research topics to gauge their comprehension of the relationship between mathematical economics, statistics, and economics.
The purpose of this integration is to provide numerical values to economic relationships and parameters. Usually, econometrics involves economic theories and their presentation in mathematical forms and the empirical study of business. Perhaps, this integration explains why some students struggle to choose topics for research in econometrics.
As hinted, econometrics is an economics branch that focuses on the relationships between economics, statistics, and mathematical economics. Ideally, econometrics entails the quantitative application of mathematical and statistical models using data to test hypotheses and develop economic theories while forecasting future trends based on historical data. Econometricians subject real-world data to various statistical trials while comparing and contrasting the results against the idea under examination.
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We always discuss the search for topics with you individually. We welcome your personal suggestions on specific topics for the thesis. We support you in the further development of initial ideas on an exciting research topic. However, you can also apply for advertised thesis topics. Here you can also find examples of theses that have already been completed.
The final theses are supervised by Prof. Trede, Prof. Wilfling and the academic staff. If you would like to write your thesis with us, please contact us via the information card . For further questions, please contact Susanne Deckwitz or Andrea Rüschenschmidt .
Our notes on the procedure refer to the bachelor and master thesis as well as the project studies. The empirical results of your project studies can serve as the basis for your master thesis. Ideally, you should contact us first before registering your thesis with the examination office.
In a first meeting, possible topics for the paper are discussed, then put in concrete terms and a supervisor is furthermore found. From now on, the scope, goals and further details of the paper are agreed upon. Registration with the examination office takes place and the binding start date is determined. This is then also the starting point for your thesis in close coordination with your supervisor. You are not bound to any formal requirements regarding the paper, but we will be happy to provide you with templates.
Prof. Dr. Mark Trede
Areas for bachelor thesis :
Inheritance and consumption
Descriptive analysis of the reaction of rich taxpayers to tax changes
Income distribution in Germany considering housing costs
Development of housing costs
Time zones and stock exchanges
Tuition fees and wage distribution
Are subjectively expected income fluctuations autoregressive?
Duration of work and wage level
Areas for master thesis :
1. Structural microsimulations
2. Return modelling
3. Misspecified state space models
4. Forecast models for commodity prices
5. Education and economic shocks
6. Multivariate density forecast
7. Income mobility
You can find more detailed information on each topic here .
Prof. Dr. Bernd Wilfling
Area for bachelor and master thesis:
Financial Econometrics
Dr. Andrea Beccarini
Master theses:
Gaygysyz Guljanov, M.Sc.
Estimation of DSGE models
Stella Martin, M.Sc.
Areas for bachelor and master thesis:
Applied Microeconometrics
Labour Economics
Treatment Evaluation
Verena Monschang, M.Sc.
Friederike Schmal, M.Sc.
Björn Schulte-Tillmann, M.Sc.
Dr. Mawuli Segnon
Areas for bachelor and master thesis:
Kevin Stabenow, M.Sc.
Manuel Stapper, M.Sc.
Historical monetary policy analysis and the taylor rule, making monetary policy: objectives and rules, uncertainty and the effectiveness of policy, a positive theory of monetary policy in a natural rate model, a monetary history of the united states, 1867-1960., central banking in theory and practice, an historical analysis of monetary policy rules, monetary theory and policy, potential growth of the japanese and u.s. economies in the information age, monetary policy rules based on real-time data, related papers.
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Writing a thesis is not an easy task. For most of the students, it can be even intimidating, especially when you do not know where to start your research.
Here, we have provided an economics thesis topics list. After all, everyone knows that choosing the right idea is crucial when writing an academic paper. In economics, it can combine history, math, social studies, politics, and numerous other subjects. You should also have solid foundations and a sound factual basis for a thesis. Without these elements, you won’t be able to master your research paper.
The issue is:
It is not always clear what could be seen as an excellent economics thesis topic. Our experts can assist you with this challenge. This list contains some outstanding examples to get you started.
📈 macroeconomics.
A good thesis in economics is a blend between an empirical paper and a theoretical one. One of the essential steps in choosing a topic in economics is to decide which one you will write.
You may write, research, analyze statistical data and other information. Or build and study a specific economic model.
Or why not both!
Here are some questions you can ask when deciding what topic to choose:
The best way to understand what type of research you have to do is to write a thesis proposal. You will most probably be required to submit it anyway. Your thesis supervisor will examine your ideas, methods, list of secondary and primary sources. At some universities, the proposal will be graded.
After you get the initial feedback, you will have a clear idea of what to adjust before writing your thesis. Only then, you’ll be able to start.
At the U.S. Universities, an undergraduate thesis is very uncommon. However, it depends on the Department Policy.
The biggest challenge with the Bachelor’s Thesis in economics concerns its originality. Even though you are not required to conduct entirely unique research, you have to lack redundant ideas.
You can easily avoid making this mistake by simply choosing one of these topics. Also, consider visiting IvyPanda essays database. It’s a perfect palce to conduct a brainstorming session and come up with fresh ideas for a paper, as well as get tons of inspiration.
Student life can be fascinating, but it comes with its challenges. One of which is selecting your Master’s thesis topic.
Here is a list of topics for a Master’s thesis in economics. Are you pursuing MPhil in Economics and writing a thesis? Use the following ideas as an inspiration for that. They can also be helpful if you are working on a Master’s thesis in financial economics.
For some students, it makes more sense to center their search around a certain subject. Sometimes you have an econ area that interests you. You may have an idea about what you want to write, but you did not decide what it will be.
If that’s the case with you, then these economics thesis topics ideas are for you.
If you decide to go to grad school to do your Masters, you will likely end up getting a Ph.D. as well. So, with this plan in mind, think about a field that interests you enough during your Masters. Working with the same topic for both graduate degrees is easier and more effective.
This list of Ph.D. Topics in Economics can help you identify the areas you can work on.
As your academic journey is coming to an end, it’s time to pick the right topic for your thesis. The whole academic life you were preparing to undertake this challenge.
Here is the list of six points that will help you to select an economics thesis topic:
Thank you for reading the article to the end! We hope this list of economics thesis topics ideas could help you to gather your thoughts and get inspired. Share it with those who may find it useful. Let us know what you think about it in the comment section below.
By clicking "Post Comment" you agree to IvyPanda’s Privacy Policy and Terms and Conditions . Your posts, along with your name, can be seen by all users.
The dilemma I faced in getting Thesis proposal for my M Phil programme is taken away. Your article would be a useful guide to many more students.Thank you for your guidance.
Thanks for the feedback, John! Your opinion is very important for us!
I wants it for msc thesis
These are very helpful and concise research topics which I have spent days surfing the internet to get all this while. Thanks for making research life experience easier for me. Keep this good work up.
Thank you, Idris!
Glad to hear that! Thank you for your feedback, Idris!
Excellent research
For research
A very well written, clear and easy-to-read article. It was highly helpful. Thank you!
Thanks for your kind words! We look forward to seeing you again!
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Three Essays in Financial Econometrics Shuyi Ge King's College University of Cambridge Understanding how cross-sectional units interact with each other in a panel setting is an ... this thesis looks into the cross-sectional dependence in panel both theoretically and empirically. The first chapter develops a multi-country contagion
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Financial econometrics is a highly interdisciplinary field that integrates finance, economics, probability, statistics, and applied mathematics. Machine learning is a growing area in finance that is particularly suitable for studying problems with many variables. My thesis contains three chapters that explore financial econometrics and machine learning in the fields of asset pricing and risk ...
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Based upon my experience in research, teaching, writing textbooks, and editing handbooks and journals, this review paper discusses how financial econometrics, mathematics, statistics, and financial technology can be used in research and teaching for students majoring in quantitative finance. A major portion of this paper discusses essential content of Lee and Lee (Handbook of financial ...
This thesis comprises three independent papers employing cutting-edge timeseries econometrics techniques in macroeconomics and finance. The first paper predicts cash rates in Australia using various discrete choice models and forecast combination approaches. The second paper investigates the impact of COVID19 on the U.S. equity market, identifying crisis episodes across sectors with pseudo ...
The present doctoral thesis covers different aspects in the financial econometrics area. In particular, the research focuses on the heterogeneous agents in the market (rational and behavioural), the performance measures related to this type of agents and, more generally, the asset evaluation within a portfolio selection framework.
Erasmus School of Economics Master's Thesis MSc Economics and Business Master Specialization Financial Economics Factor Timing and Factor Structure: Quantitative strategies in the U.S. Equity market Thesis subject eld: Asset Pricing, Advanced Investments { Factor Investing Student Name: Christian Soriani Student ID n 510801 Supervisor: Prof ...
Financial econometrics is all about applying statistical methods to financial market data. Areas of study include capital markets, financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of individual stocks, bonds, derivatives, currencies and other financial instruments.
Journal of Banking Finance (27) and the Journal of Financial Economics (19) are the top 2 most popular journals for scholars in the field of FI. Review of ... i.e., Thesis, Journal of Econometrics and Economic Modelling, indicating that they still have an impact on FI. Table 9. The top 10 cited journals with the strongest citation bursts from ...
Financial Econometrics Research Topics. There are numerous topics for econometrics research papers. We have made it hassle-free for you to pick one for your next research work. ... If you're pursuing a thesis in the field of econometrics and find yourself in need of expert support, you might want to consider seeking professional assistance ...
Essays on behavioral and experimental economics . Xu, Yaoyao (The University of Edinburgh, 2023-07-25) In this dissertation of three chapters, I study individuals' strategic sophistication in decision-making, specifically level-k reasoning and forward-looking behavior. The first chapter studies subjects' iterative reasoning ...
Determining the Relationship Between Patient Participation and Treatment Plan Confidence Across a Spectrum of Illness Severity in the State of California" - Saif Chowdhury. "Modeling Optimal Investment and Greenhouse Gas Abatement in the Presence of Technology Spillovers" - Sabrina Chui. "Understanding the Influence of Marginal Income Tax Rates ...
The relationship between stock prices and inflation in a country. How income tax revenue affects a developing economy. How government expenditure affects economic growth. Factors contributing to the global recession. How a country's unemployment rate relates to economic growth. Any of these topics can be an excellent basis for an econometrics ...
The Master of Science in Financial Economics degree is composed of 4 Required Core Courses, 3-5 Customizable Core Courses, and 1-3 Elective Courses. In addition, this 10-course degree program structure offers an optional culminating experience of a Thesis as an 11th course, for three additional credits at full tuition.
Students in Chicago Booth's Joint Program in Financial Economics focus their PhD research on a vast array of issues, from state-government borrowing costs to wealth inequality to climate policy. They go on to positions at leading academic institutions and global financial organizations. Current Students.
Area for bachelor and master thesis: Financial Econometrics. Dr. Andrea Beccarini . Master theses: Economics and pandemic: a broad overview of the related microeconomic, macroeconomic, financial and policy aspects. Economics and pandemic: from the Microeconomic analysis to the economic policy solutions. Economics and pandemic: from dynamic ...
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Bolivian President Luis Arce vowed to prioritize fuel imports and debt payments as he navigates the dollar shortage that has taken the Andean nation to the brink of chaos.
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