UNIVERSITY OF SOUTHERN CALIFORNIA Marshall School of Business BUAD 499 SPECIAL TOPICS: INTRODUCTION TO BEHAVIORAL FINANCE Spring 2012 Fernando Zapatero HOH 712 Ph: (213) 740-6538 Email: fzapatero@marshall.usc.edu http://marshallinside.usc.edu/zapatero Office hours: M,W, 1-2, or by appointment COURSE OBJECTIVES The study of the motivations of economic agents is at the core of economics in general, and financial economics in particular. Over decades of work, economics scholars have developed a paradigm that intends to rationalize how consumers, investors and managers make decisions. However, evidence that the standard paradigm is unable to explain economic observations has been accumulating. In particular, economists and scholars from related disciplines like psychology and sociology have documented that economic agents behave in ways inconsistent with standard assumptions. In addition, a growing body or research illustrates that economic models often fail to explain the economic reality, possibly as the result of inadequate assumptions about the motivation and properties of agents decisions. This growing body of research is collectively denominated Behavioral Economics, with Behavioral Finance referring to the subfield that deals with financial decisions of individuals and corporations. In this course we attempt to offer an overview of the state of the art in Behavioral Finance. In particular, we will discuss the inconsistencies between economic reality and the predictions of traditional economic models. However, the emphasis of the course will be on possible explanations to these inconsistencies. We will consider the suggestions in the literature, but through class discussion we will also make an effort to come up with our own proposals. 1 GRADING The grade will be based on class participation, one midterm exam a group project and the final exam. The grade will be assigned according to a distribution of grades resulting from the better of the two following possibilities: A) Class participation: 10% Midterm: 20% Group Project 35% Final: 35% B) Class participation: 10% Group Project 35% Final: 55% Groups for the group project will be formed by 3 to 6 students so that the total of groups does not exceed 10. The project will produce a paper that analyzes some financial or economic pattern that appears to be at odds with the predictions of standard economic theory. The project can be based on: i) either the replication of a particular puzzle discussed in the literature, ii) or the suggestion of another puzzle not covered by the specialized literature. In both cases, the project has to provide data documenting the conclusions of the project. In case i) the data has to be new over that presented in the literature and the paper has to analyze the evolution of the puzzle over the years and discuss possible changes. In case ii) the data has to support the fact that this observation is inconsistent with traditional predictions. Projects require instructor approval before the end of the sixth week of classes. The project should not have more than five pages of text plus tables and bibliography. The text has to detail the data sources and possible shortcomings of the data. Project and peer evaluations are due in electronic format the last day of class. LEARNING OBJECTIVES At the end of the semester, the students are expected to be familiar with the main advances of the literature on behavioral finance and the main extensions to the standard paradigms in finance and economics. In particular, Marshall undergraduate students are exposed to the building blocks of current finance and business economics in required classes like ECON 251 (Microeconomics for Business), ECON 252 (Macroeconomics for Business) and BUAD 306 (Business Finance), as well as electives like FBE 441 (Investments) or FBE 459 (Financial Derivatives). However, there is plenty of evidence that further elements are necessary to explain how financial markets work and how individual agents make financial decisions. This class will provide the students with some of these elements. More importantly, this class will train students to develop the economic critical thinking that employers increasingly expect from job applicants. 2 ACADEMIC INTEGRITY I will enforce the university rules “ The use of unauthorized material, communication with fellow students during an exam, attempting to benefit from the work of another student, and similar behavior that defeats the intent of an examination or other class work is unacceptable to the University. It is often difficult to distinguish between a culpable act and inadvertent behavior resulting from the nervous tensions accompanying examinations. Where a clear violation occurs, however, the instructor may disqualify the student’s work as unacceptable and assign a failing mark on the paper. All students at the University of Southern California have an inherent responsibility to uphold the principles of academic integrity and to support each other and the faculty in maintaining a classroom atmosphere that is conducive to orderly and honest conduct. Students must understand and uphold the rules printed in the Student Conduct Code in the USC SCampus handbook, regarding examination behavior, fabrication, plagiarism, and other types of academic dishonesty. Violations will result in a failing course grade and referral to the University’s judicial system.” STUDENTS WITH DISABILITIES Any student requesting academic accommodations based on a disability is required to register with Disability Services and Programs (DSP) each semester. A letter of verification for approved accommodations can be obtained from DSP. Please be sure the letter is delivered to me as early in the semester as possible. DSP is located in STU 301 and is open 8:30 a.m. - 5:00 p.m., Monday through Friday. The phone number for DSP is (213) 740-0776. 3 READINGS [AD] Akerlof, G. and W. Dickens, 1982. The Economic Consequences of Cognitive Dissonance, American Economic Review 72, 307-319. [BRW] Baker, M., Ruback, R. and J. Wurgler, J., 2007. Behavioral Corporate Finance: A Survey, B Eckbo (editor), Handbook of Corporate Finance: Empirical Corporate Finance, North Holland. [BO] Barber, B. and T. Odean, 2001. Boys Will be Boys: Gender, Overconfidence, and Common Stock Investment, Quarterly Journal of Economics 116, 261-292. [BT] Barberis, N. and R. Thaler, 2003. A Survey of Behavioral Finance, in G. Constantinides (editor), M. Harris (editor) and R. Stulz (editor), Handbook of the Economics of Finance, North Holland. [B] Basak, S. 2005. Asset Pricing with Heterogeneous Beliefs, Journal of Banking and Finance 29, 2849-2881. [BeT] Benartzi, S. and R. Thaler. 1995. Myopic Loss Aversion and the Equity Premium Puzzle, Quarterly Journal of Economics 110, 73-92. [B] Black, F. 1976. The Dividend Puzzle, Journal of Portfolio Management 2, 5-8. [BHS] Brown, K., W. Harlow, and L. Starks, 1996. Of Tournaments and Temptations: An Analysis of Managerial Incentives in the Mutual Fund Industry, Journal of Finance 51, 85110. [CPV] Caginalp, G., D. Porter and V. Smith, 2001. Financial Bubbles: Excess Cash, Momentum, and Incomplete Information, Journal of Psychology and Financial Markets 2, 80-99 [CE] Chevalier, J., and G. Ellison, 1999. Career Concerns of Mutual Fund Managers, Quarterly Journal of Economics 114, 389432. [CM] Coval, J. and T. Moskowitz. 1999. Home Bias at Home: Local Equity Preference in Domestic Portfolios, Journal of Finance 54, 1695-1704. [DT] De Bondt, W. and R. Thaler. 1985. Does the Stock Market Overreact? Journal of Finance 40, 793-805. [DR] Dynan, K. and E. Ravina. 2007. Increasing Income Inequality, External Habits, and Self-Reported Happiness, American Economic Review Papers and Proceedings 97, 226-231. 4 [HT] Hirshleifer, D. and S. H. Teoh, 2003. Herd Behavior and Cascading in Capital Markets: A Review and Synthesis, European Financial Management 9, 25-66. [HKS] Hong, H., J. Kubik, and J. Stein, 2005. Thy Neighbor’s Portfolio, Journal of Finance 60, 2801-2824. [H] Huberman, G. 2001. Familiarity Breeds Investment, Review of Financial Studies 14, 659-680. [HJ] Huberman, G. and W. Jiang, 2006. Offering versus Choice in 401(k) Plans: Equity Exposure and Number of Funds, Journal of Finance 61, 763-801. [KT] Kahneman, D. and A. Tversky, 1979. Prospect Theory: An Analysis of Decisions Under Risk, Econometrica 47, 263-291. [KL] Kraus, A. and R. Litzenberger. 1976. Skewness Preference and the Valuation of Risk Assets, Journal of Finance 31, 1085-1100. [LBG] Laster, D., P. Bennett and In S. Geoum, 1999. Rational Bias in Macroeconomic Forecasts, Quarterly Journal of Economics 114, 293-318. [L] Loewenstein, G., S. Rick and J. Cohen, 2008. Neuroeconomics, Annual Review of Psychology 59, 647672. [MT] Malmendier, U. and G. Tate, 2005. CEO Overconfidence and Corporate Investment, Journal of Finance 60, 2661-2700. [MU] Mitchell, O. and S. Utkus, 2004. Lessons from Behavioral Finance for Retirement Plan Design, in O. Mitchell (Editor), S. Utkus (Editor), Pension Design and Structure: New Lessons from Behavioral Finance, Oxford University Press. [M] Montier, J., 2010. Value Investing: Tools and Techniques for Intelligent Investment. Wiley. [O] Odean, T, 1998. Are Investors Reluctant to Realize Their Losses? Journal of Finance 53, 1775-1798. [R] Roll, R., 1986. The Hubris Hypothesis of Corporate Takeovers, Journal of Business 59, 197-216 [RH] Ryder, H. and G. Heal, 1973. Optimal Growth with Intertemporal Dependent Preferences, Review of Economic Studies 40, 1-33. [She] Shefrin, H., 2002. Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing. Oxford University Press. 5 [SS] Shefrin, H. and M. Statman, 1984. Explaining Investor Preference for Cash-Dividends, Journal of Financial Economics 13, 253-282. [Shi] Shiller, R. 2003. From Efficient Markets Theory to Behavioral Finance, Journal of Economic Perspectives 17, 83-104. [Shl] Shleifer, A., 2000. Inefficient Markets: An Introduction to Behavioral Finance. Oxford University Press. [SV] Shleifer, A. and R. Vishny, 1997. A Survey of Corporate Governance, Journal of Finance 52, 737-784. [St] Stein, J. 1996. Rational Capital Budgeting in an Irrational World, Journal of Business 69, 429-455. [T] Thaler, R. 1999. Mental Accounting Matters, Journal of Behavioral Decision Making 12, 183-206. [V] Veblen, T. 1899. The Theory of the Leisure Class, www.gutenberg.org. 6 OUTLINE A) Overview. Lecture 1-2: Traditional View of Preferences and Markets. • Properties of Preferences. • Risk Aversion. • Market Efficiency. • CAPM and other Models. Readings: Shl-Ch 1. Lecture 3: Alternative Directions. • Bounded Rationality. • Non-Standard Preferences. • Biases and Other Biological Explanations. • Heterogeneous Agents. Readings: BT, She-Preface. B) Psychological Foundations. Lecture 4-5: Heuristics and Other Biases. • Representation. • Framing. • Overconfidence. • Mental Accounting. Readings: BT, She-Ch 2,3, T. Lecture 6-7: Affect and Social Aspects. • Emotions. • Cognitive Dissonance. • Disposition Effect. • Home Bias. Readings: AD, BO, CM, H, O. 7 C) Non-Standard Preferences. Lecture 8-9: Prospect Theory. • Loss Aversion. • Experimental Evidence • Implications for Investment Behavior. Readings: BeT, KT. Lecture 10: Habit Formation. • Notion of Habit. • Addiction. • Economic Implications. Readings: RH. Lecture 11-12: Relative Wealth Concerns and Status. • Keeping Up with the Joneses. • Implications for Investment Behavior. Readings: DR, KL, V. Lecture 13: Investors with Different Beliefs. • Agreeing to Disagree. • Learning. • Beliefs and Volatility. Readings: B. D) Household Finance Anomalies. Lecture 14: Pension Fund Allocation. • Behavioral Biases. • Choosing Allocation. • Own Firm Stock. Readings: HJ, MU. Midterm: March 5. 8 E) Financial Markets Anomalies. Lecture 16-17: Deviations from Standard Models. • Market Overreaction. • Bubbles. • Challenges to CAPM. Readings: CPV, DT, M-Ch 2, Shi, Shl-Ch 1. Lecture 18: Some Market Puzzles. • Closed-end Fund Puzzle. • Growth-Value Puzzle. Readings: M-Ch 2, Shl-Ch 1, . F) Behavioral Issues in Corporations Lecture 19: Governance and Agency Problems. • Behavioral Biases of Managers. • Status Concerns. • Managerial Compensation. Readings: BRW, MT, SV. Lecture 20: Financial Structure. • Optimism and Overconfidence. • Behavioral Explanations of the Theories of the Term Structure. • Capital Budgeting. Readings: MT, St. Lecture 21: Dividends and Payout Policies. • Dividend Puzzle. • Disappearing Dividends. • Behavioral Biases. Readings: B, SS. 9 Lecture 22: Mergers and Acquisitions. • Misvaluation Hypothesis. • The Winner’s Curse. • The Hubris Hypothesis and Overbidding. Readings: BRW, R, She-Chap 16. Lecture 23: IPO’s. • Initial Underpricing. • Long-Term Under-performance. • The Decision to Go Public. Readings: She-Chap 17. G) Institutional Agents Lecture 24: Herding and Biases of Analysts. • Conflicts of Interest. • Asymmetric Information. • Relative Performance Concerns. Readings: LBG. Lecture 25-26: Mutual Funds Managers. • Career Concerns. • Tournament Behavior. • Compensation Structure. Readings: BHS, CE. H) Recent Trends Lecture 27: Social Networks. • Social Interaction. • Asset Pricing Implications. • Institutional Herding. Readings: HKS, HT. 10 Lecture 28: Neuroeconomics. • Technical Aspects. • Some Findings. • The Future. Readings: LRC. Final Exam: May 7, 8–10m. 11