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Stock Market Volatility and Learning

  • Adam, Klaus
  • Marcet, Albert
  • Nicolini, Juan Pablo

Introducing bounded rationality into a standard consumption based asset pricing model with a representative agent and time separable preferences strongly improves empirical performance. Learning causes momentum and mean reversion of returns and thereby excess volatility, persistence of price-dividend ratios, long-horizon return predictability and a risk premium, as in the habit model of Campbell and Cochrane (1999), but for lower risk aversion. This is obtained, even though we restrict consideration to learning schemes that imply only small deviations from full rationality. The findings are robust to the particular learning rule used and the value chosen for the single free parameter introduced by learning, provided agents forecast future stock prices using past information on prices.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6518.

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Date of creation: Oct 2007
Date of revision:
Handle: RePEc:cpr:ceprdp:6518
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  1. William A. Branch & George W. Evans, 2010. "Asset Return Dynamics and Learning," Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1651-1680, April.
  2. Adam, Klaus & Marcet, Albert & Nicolini, Juan Pablo, 2015. "Stock Market Volatility and Learning," Working Papers 720, Federal Reserve Bank of Minneapolis.
  3. Campbell, John Y., 2003. "Consumption-based asset pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 13, pages 803-887 Elsevier.
  4. Adam, Klaus, 2003. "Learning and Equilibrium Selection in a Monetary Overlapping Generations Model with Sticky Prices," CFS Working Paper Series 2003/03, Center for Financial Studies (CFS).
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