Term Project
- Please select a research paper published in one of leading finance journals (Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Financial and Quantitative Analysis).
- Please collect data from the database and replicate all tables in the selected paper.
- Please compare results shown in the paper and your results and discuss potential problems if they are different.
* Students can choose replicated papers on their own. I will verify the papers in Meeting 10.
Schedule of the Course:
Note: I will adjust this schedule to meet the needs of the class. Please refer to the e-Learning (WM5) for scheduling updates.
- Meeting 1 (2/19)
- Course Overview
- Lecture: Ordinary Least Square, Maxima Likelihood Estimation, and Generalize Least Square (1)
- Meeting 2 (2/26)
- Lecture: Ordinary Least Square, Maxima Likelihood Estimation, and Generalize Least Square (2)
- Meeting 3 (3/4)
- Lecture: Ordinary Least Square, Maxima Likelihood Estimation, and Generalize Least Square (3)
- Meeting 4 (3/11)
- Lecture: Capital Asset Pricing Model How to test CAPM?
- Paper 1: Fama, E. F and J. D. MacBeth, 1973. Risk, return, and equilibrium: Empirical tests. Journal of Political Economy 81, 607636.
- Lecture: Capital Asset Pricing Model Problems in CAPM tests
- Meeting 5 (3/18)
- Paper 2: Kim, D., 1995. The errors in the variables problem in the crosssection of expected stock returns. Journal of Finance 50, 16051634.
- Paper 3: Kim, D., 1997. A reexamine of firm size, bookto-market, and earnings price in the cross-section of expected stock returns. Journal of Financial and Quantitative Analysis 32, 463489.
- SAS program 1: Basic commends
- Meeting 6 (3/25)
- Lecture: Factor Models Pricing factors (Arbitrage pricing theory)
- Paper 4: Fama, E. F. and K. R. French, 1992. The crosssection of expected stock returns. Journal of Finance 47, 427465.
- Paper 5: Fama, E. F. and K. R. French, 1993. Common risk factors in the returns on stocks and bonds. Journal of Finance 33, 356.
- Meeting 7 (4/1)
- Paper 6: Fama, E. F. and K. R. French, 2015. A fivefactor asset pricing model. Journal of Financial Economics 116, 122.
- Paper 7: Jegadeesh, N., J. Noh, K. Pukthuanthong, R. Roll, and J. Wang, 2019. Empirical tests of asset pricing models with individual assets: Resolving the errorsin-variables bias in risk premium estimation. Journal of Financial Economics, forthcoming.
- Lecture: Fama & French 3factor model and Fama & French 5-factor model
- Meeting 8 (4/8)
- Lecture: Market Efficiency Efficient market hypothesis
- Lecture: Market Efficiency How to test efficient market hypothesis? – Event study
- SAS program 2: Data manipulation (combining CRSP and Compustat)
- Meeting 9 (4/15)
- Paper 8: Ikenberry D., J. Lakonishok, and T. Vermaelen, 1995. Market underreaction to open market share repurchases. Journal of Financial Economics 39, 181208.
- Lecture: Market Efficiency Financial anomalies
- Lecture: Return Decomposition
- Paper 9: Jegadeesh, N. and S. Titman, 1993. Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance 48, 6591.
- SAS program 3: Event Study
- Meeting 10 (4/22)
- Paper 10: George, T. J., and C. Y. Hwang, 2004. The 52week high and momentum investing. Journal of Finance 59, 21452176.
- Paper 11: Avramov, D., G. Kaplanski, and A. Subrahmanyam, 2019. Stock return predictability: New evidence from moving averages of prices and firm fundamentals. Working paper.
- Paper 12: Da, Z., U. G. Gurun, and M. Warachka, 2014. Frog in the pan: Continuous information and momentum. Review of Financial Studies 27, 21712218.
- SAS program 4: Data manipulation (momentum strategies)
- Meeting 11 (4/29)
- Replicated paper decided
- Paper 13: Bali, T. G., N. Cakici, and R. F. Whitelaw, 2011. Maxing out: Stocks as lotteries and the crosssection of expected returns. Journal of Financial Economics 99, 427446.
- Paper 14: Cheon Y. H., and K. H. Lee, 2018. Maxing out globally: Individualism, investor attention, and the cross section of expected stock returns. Management Science 64, 54615959.
- Econometric Issues: Economic significance
- SAS application 1: Standard regression coefficient, marginal effects in logit model
- Meeting 12 (5/6)
- Lecture: Mutual Funds Fund flows and Fund performance
- Paper 15: Sirri E. R. and P. Tufano, 1998. Costly search and mutual fund flows. Journal of Finance 53, 15891622.
- Paper 16: Kostovetsky, L., 2016. Whom do you trust?: Investoradvisor relationship and mutual fund flows. Review of Financial Studies 29, 898936.
- Paper 17: Nanda, V. K., Z. J. Wang, and L. Zheng, 2009. The ABCs of mutual funds: On the introduction of multiple share classes. Journal of Financial Intermediation 18, 329361.
- Meeting 13 (5/13)
- Lecture: Mutual Funds – Survivorship
- Paper 18: Jayaraman, N., A. Khorana, and E. Nelling, 2002. An analysis of the determinants and shareholder wealth effects of mutual fund managers. Journal of Finance 57, 15211551.
- Paper 19: Zhao, X. G., 2005. Exit decisions in the US mutual fund industry. Journal of Business 78, 13651401.
- Paper 20: Khorana, A., P. Tufano, and L. Wedge, 2007. Board structure, mergers, and shareholder wealth: A study of the mutual fund industry. Journal of Financial Economics 85, 571598.
- SAS application 2: Peicewise linear model, quantile regression
- Meeting 14 (5/20)
- Lecture: Mutual Funds: Manager and investor skills
- Paper 21: Kostovetsky, L., and J. B. Warner, 2015. You’re fired! New evidence on portfolio manager turnover and performance. Journal of Financial and Quantitative Analysis 50, 729755.
- Paper 22: Hoberg, G., N. Kumar, and N. Prabhala, 2018. Mutual fund competition, managerial skill, and alpha persistence. Review of Financial Studies 31, 18961929.
- Paper 23: Choi, D., B. Kahraman, and A. Mukherjee, 2016. Learning about mutual fund managers. Journal of Finance 71, 28092860.
- SAS application 3: Censored life regression, survivorship model
- Meeting 15 (5/27)
- Econometric Issues: Heterogeneity, Fixed effects, clustering effects
- Paper 24: Petersen M. A., 2009. Estimating standard errors in finance panel data sets: Comparing approaches. Review of Financial Studies 22, 435480.
- Paper 25: Thompson, S. B., 2011. Simple formulas for standard errors that cluster by both firm and time. Journal of Financial Economics 99, 110.
- SAS application 4: Fixed effects model, clustering effects model
- Meeting 16 (6/3)
- Econometric Issues: Endogeneity (2sls, exogenous shock, difference in difference)
- Paper 26: Billett, T., J. A. Garfinkel, and M. Yu, 2017. The effect of asymmetric information on product market outcomes. Journal of Financial Economics 123, 357376.
- Paper 27: Francis, B., I. Hasan, and Q. Wu, 2015. Professors in the boardroom and their impact on corporate governance and firm performance. Financial Management 44, 547581.
- SAS application 5: Two stage least square (2SLS)
- Meeting 17 (6/10)
- Econometric Issues: Sample selection bias
- Paper 28: Baber, W. R., S. Chen, and S. H. Kang, 2006. Stock price reaction to evidence of earnings management: Implications for supplementary financial disclosure. Review of Accounting Studies 11, 519.
- SAS application 6: Heckman model
- Meeting 18 (6/17)
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- Journal papers in Journal of Finance, Journal of Financial Economics, Review of Financial Studies, and Journal of Financial & Quantitative Analysis.
- Cochrane, J., 2005, Asset Pricing 2nd edition, Princeton University Press.
- Campbell, Lo, and MacKinley, 1997, The Econometrics of Financial Markets, Princeton University Press.
- Lee, C. F., H. Y. Chen, and John Lee, 2019. Financial Econometrics, Mathematics, and Statistics: Theory, Method, and Application, Springer.
- Copeland, Thomas E. and J. Weston, 2005, Financial Theory and Corporate Policy, 4th edition, Addison-Wesley Publishing Company
- Bodie Z., A. Kane, and A. J. Marcus, 2014, Investments 10th edition, McGrow- Hill Irwin.
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