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Learning from experience in the stock market

  • Nakov, Anton
  • Nuño, Galo

We study the dynamics of a Lucas-tree model with finitely lived agents who "learn from experience." Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic boom-and-bust fluctuations around the rational expectations equilibrium. This heterogeneous-agents economy can be approximated by a representative-agent model with constant-gain learning, where the gain parameter is related to the survival rate. JEL Classification: G12, D83, D84

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Paper provided by European Central Bank in its series Working Paper Series with number 1396.

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Date of creation: Nov 2011
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Handle: RePEc:ecb:ecbwps:20111396
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  1. Anton Nakov & Galo Nuño, 2011. "Learning from experience in the stock market," Working Papers 1132, Banco de España;Working Papers Homepage.
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  24. Ferrero, Giuseppe, 2007. "Monetary policy, learning and the speed of convergence," Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 3006-3041, September.
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