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Learning And Excess Volatility

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Author Info
Bullard, James
Duffy, John

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Abstract

We introduce adaptive learning behavior into a general-equilibrium life-cycle economy with capital accumulation. Agents form forecasts of the rate of return to capital assets using least-squares autoregressions on past data. We show that, in contrast to the perfect-foresight dynamics, the dynamical system under learning possesses equilibria that are characterized by persistent excess volatility in returns to capital. We explore a quantitative case for theselearning equilibria. We use an evolutionary search algorithm to calibrate a version of the system under learning and show that this system can generate data that matches some features of the time-series data for U.S. stock returns and per-capita consumption. We argue that this finding provides support for the hypothesis that the observed excess volatility of asset returns can be explained by changes in investor expectations against a background of relatively small changes in fundamental factors.

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Publisher Info
Article provided by Cambridge University Press in its journal Macroeconomic Dynamics.

Volume (Year): 5 (2001)
Issue (Month): 02 (April)
Pages: 272-302
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:macdyn:v:5:y:2001:i:02:p:272-302_01

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  7. Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-41, June. [Downloadable!] (restricted)
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  9. Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. " The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. George Evans & Seppo Honkapohja & Kaushik Mitra, 2007. " Anticipated Fiscal Policy and Adaptive Learning," CDMA Working Paper Series 0717, Centre for Dynamic Macroeconomic Analysis. [Downloadable!]
    Other versions:
  2. Eva Carceles Poveda & Chryssi Giannitsarou, 2006. "Asset pricing with adaptive learning," Computing in Economics and Finance 2006 25, Society for Computational Economics. [Downloadable!]
    Other versions:
  3. Abbigail Chiodo & Massimo Guidolin & Michael T. Owyang & Makoto Shimoji, 2003. "Subjective probabilities: psychological evidence and economic applications," Working Papers 2003-009, Federal Reserve Bank of St. Louis. [Downloadable!]
  4. Massimo Guidolin & Allan Timmerman, 2005. "Properties of equilibrium asset prices under alternative learning schemes," Working Papers 2005-009, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
  5. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2007. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," NBER Working Papers 13401, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," NBER Working Papers 11803, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  7. Adam, Klaus & Marcet, Albert & Nicolini, Juan Pablo, 2007. "Stock Market Volatility and Learning," CEPR Discussion Papers 6518, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  8. Dumas, Bernard J & Kurshev, Alexander & Uppal, Raman, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," CEPR Discussion Papers 5367, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  9. William Brock & Cars Hommes & Florian Wagener, 2006. "More Hedging Instruments may destablize Markets," Tinbergen Institute Discussion Papers 06-080/1, Tinbergen Institute, revised 30 Apr 2008. [Downloadable!]
    Other versions:
  10. Dumas, Bernard J & Kurshev, Alexander & Uppal, Raman, 2007. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," CEPR Discussion Papers 6455, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  11. Hommes, C.H., 2007. "Bounded Rationality and Learning in Complex Markets," CeNDEF Working Papers 07-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance. [Downloadable!]
  12. Ehsan Ahmed & Honggang Li & J. Barkley Rosser, 2006. "Nonlinear bubbles in Chinese Stock Markets in the 1990s," Eastern Economic Journal, Eastern Economic Association, vol. 32(1), pages 1-18, Winter. [Downloadable!]
  13. Massimo Guidolin, 2005. "Pessimistic beliefs under rational learning: quantitative implications for the equity premium puzzle," Working Papers 2005-005, Federal Reserve Bank of St. Louis. [Downloadable!]
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