Simple Forecasts and Paradigm Shifts
AbstractWe postulate that agents make forecasts using overly simplified models of the world—i. e. , models that only embody a subset of available information. We then go on to study the implications of learning in this environment. Our key premise is that learning is based on a model-selection criterion. Thus if a particular simple model does a poor job of forecasting over a period of time, it is eventually discarded in favor of an alternative, yet equally simple model that would have done better over the same period. This theory makes several distinctive predictions, which, for concreteness, we develop in a stock-market setting. For example, starting with symmetric and homoskedastic fundamentals, the theory yields forecastable variation in the size of the value/glamour differential, in volatility, and in the skewness of returns. Some of these features mirror familiar accounts of stock-price bubbles.
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Bibliographic InfoPaper provided by Harvard - Institute of Economic Research in its series Harvard Institute of Economic Research Working Papers with number 2007.
Date of creation: 2003
Date of revision:
Other versions of this item:
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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- Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
- Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
- Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001.
"Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices,"
Journal of Financial Economics,
Elsevier, vol. 61(3), pages 345-381, September.
- Joseph Chen & Harrison Hong & Jeremy C. Stein, 2000. "Forecasting Crashes: Trading Volume, Past Returns and Conditional Skewness in Stock Prices," NBER Working Papers 7687, National Bureau of Economic Research, Inc.
- Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
- Stephen Morris, .
"Speculative Investor Behavior and Learning,"
Penn CARESS Working Papers
d12f7936881423171f6589501, Penn Economics Department.
- Stephen Morris, 1996. "Speculative investor behavior and learning," Working Papers 96-5, Federal Reserve Bank of Philadelphia.
- Stephen Morris, . ""Speculative Investor Behavior and Learning''," CARESS Working Papres 95-13, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- Hal R. Varian, 1986. "Differences of opinion in financial markets," Proceedings, Federal Reserve Bank of St. Louis, pages 3-40.
- Joel L. Schrag, 1999. "First Impressions Matter: A Model Of Confirmatory Bias," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 37-82, February.
- Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
- Drew Fudenberg & David K. Levine, 1998.
"Learning in Games,"
Levine's Working Paper Archive
2222, David K. Levine.
- Josef Lakonishok & Andrei Shleifer & Robert W. Vishny, 1993.
"Contrarian Investment, Extrapolation, and Risk,"
University of Chicago - George G. Stigler Center for Study of Economy and State
84, Chicago - Center for Study of Economy and State.
- Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998.
"A model of investor sentiment,"
Journal of Financial Economics,
Elsevier, vol. 49(3), pages 307-343, September.
- Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-72, August.
- Harrison Hong & Jeremy C. Stein, 1997.
"A Unified Theory of Underreaction, Momentum Trading and Overreaction in Asset Markets,"
NBER Working Papers
6324, National Bureau of Economic Research, Inc.
- Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
- Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
- Cyert, Richard M & DeGroot, Morris H, 1974. "Rational Expectations and Bayesian Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 521-36, May/June.
- Harrison, J Michael & Kreps, David M, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, MIT Press, vol. 92(2), pages 323-36, May.
- Blume, L. E. & Bray, M. M. & Easley, D., 1982. "Introduction to the stability of rational expectations equilibrium," Journal of Economic Theory, Elsevier, vol. 26(2), pages 313-317, April.
- Jegadeesh, Narasimhan & Titman, Sheridan, 1993. " Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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