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Complexity, Evolution and Learning: a simple story of heterogeneous expectations and some empirical and experimental validation

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  • Hommes, C.H.

    () (Universiteit van Amsterdam)

Abstract

This note discusses complexity models in economics. A key feature of these models is that agents have heterogeneous expectations, disciplined by adaptive learning and evolutionary selection. Agents adapt their rules based upon past observations and switch between different forecasting heuristics based upon strategy performance. We discuss how these models match empirical facts as well as laboratory experiments with human subjects and how this approach may tame the ``wilderness of bounded rationality''.

Suggested Citation

  • Hommes, C.H., 2007. "Complexity, Evolution and Learning: a simple story of heterogeneous expectations and some empirical and experimental validation," CeNDEF Working Papers 07-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  • Handle: RePEc:ams:ndfwpp:07-07
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    File URL: http://cendef.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics/amsterdam-school-of-economics-research-institute/cendef/working-papers-2007/iplhommes.pdf?1417182302008
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    References listed on IDEAS

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    1. 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.
    2. Arthur, W.B. & Holland, J.H. & LeBaron, B. & Palmer, R. & Tayler, P., 1996. "Asset Pricing Under Endogenous Expectations in an Artificial Stock Market," Working papers 9625, Wisconsin Madison - Social Systems.
    3. Eugene F. Fama & Kenneth R. French, 2002. "The Equity Premium," Journal of Finance, American Finance Association, vol. 57(2), pages 637-659, April.
    4. Anufriev, M. & Hommes, C.H., 2007. "Evolution of Market Heuristics," CeNDEF Working Papers 07-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    6. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    7. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    8. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
    9. Cars Hommes & Joep Sonnemans & Jan Tuinstra & Henk van de Velden, 2005. "Coordination of Expectations in Asset Pricing Experiments," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 955-980.
    10. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
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    Cited by:

    1. Gomes, Orlando, 2012. "Attentiveness cycles: Synchronized behavior and aggregate fluctuations," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 66(3), October.
    2. repec:fgv:epgrbe:v:66:n:3:a:1 is not listed on IDEAS
    3. Magda Roszczynska-Kurasinska & Andrzej Nowak & Daniel Kamieniarz & Sorin Solomon & Jørgen Vitting Andersen, 2012. "Short and Long Term Investor Synchronization Caused by Decoupling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00853991, HAL.

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