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Stock Market Volatility and Learning

Author

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

Suggested Citation

  • Marcet, Albert & Nicolini, Juan Pablo & Adam, Klaus, 2007. "Stock Market Volatility and Learning," CEPR Discussion Papers 6518, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:6518
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    More about this item

    Keywords

    Asset pricing puzzles; Consumption-based asset pricing; Learning;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

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