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Active and Passive Learning in Agent-based Financial Markets

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  • Blake LeBaron

    ()
    (International Business School, Brandeis University, 415 South Street, Mailstop 32, Waltham, MA 02453 – 2728, USA. Website: www.brandeis.edu/~blebaron)

Abstract

This short note compares and contrasts two forms of learning which are present in most agent-based financial markets. First, passive learning refers to a form of “as if rationality” where wealth accumulates on strategies which have done relatively well. Second active learning refers to the active switching of agents across strategies. Most heterogeneous agent markets contain some form of both these types of learning. From what we know so far the dynamics of each may be quite different, and may yield a rich and complex joint dynamic.

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Bibliographic Info

Article provided by Palgrave Macmillan in its journal Eastern Economic Journal.

Volume (Year): 37 (2011)
Issue (Month): 1 ()
Pages: 35-43

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Handle: RePEc:pal:easeco:v:37:y:2011:i:1:p:35-43

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  1. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," NBER Working Papers 14646, National Bureau of Economic Research, Inc.
  2. Blake LeBaron, 2010. "Heterogeneous Gain Learning and the Dynamics of Asset Prices," Working Papers 29, Brandeis University, Department of Economics and International Businesss School, revised Dec 2010.
  3. Lubos Pastor & Robert F. Stambaugh, 2008. "Predictive Systems: Living with Imperfect Predictors," NBER Working Papers 13804, National Bureau of Economic Research, Inc.
  4. Hongjun Yan, 2008. "Natural Selection in Financial Markets: Does it Work?," Yale School of Management Working Papers amz2648, Yale School of Management, revised 01 May 2008.
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  6. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.
  7. Peter Boswijk & Cars H. Hommes & Sebastiano Manzan, 2005. "Behavioral Heterogeneity in Stock Prices," Tinbergen Institute Discussion Papers 05-052/1, Tinbergen Institute.
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  10. Lawrence Blume & David Easley, 2001. "If You're So Smart, Why Aren't You Rich? Belief Selection in Complete and Incomplete Markets," Working Papers 01-06-031, Santa Fe Institute.
  11. Levy, Moshe & Levy, Haim & Solomon, Sorin, 1994. "A microscopic model of the stock market : Cycles, booms, and crashes," Economics Letters, Elsevier, vol. 45(1), pages 103-111, May.
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  13. Markowitz, Harry M, 1976. "Investment for the Long Run: New Evidence for an Old Rule," Journal of Finance, American Finance Association, vol. 31(5), pages 1273-86, December.
  14. LeBaron, Blake, 2001. "Evolution And Time Horizons In An Agent-Based Stock Market," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 225-254, April.
  15. repec:att:wimass:9621 is not listed on IDEAS
  16. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  17. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
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Cited by:
  1. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
  2. LeBaron, Blake, 2012. "Wealth dynamics and a bias toward momentum trading," Finance Research Letters, Elsevier, vol. 9(1), pages 21-28.

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