Stock market volatility and learning

Klaus Adam (), Albert Marcet and Juan Pablo Nicolini ()

No 862, Working Paper Series from European Central Bank

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 con- sideration to learning schemes that imply only small deviations from full rationality. The .ndings 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. JEL Classification: G12, D84.

Keywords: Asset pricing; learning; near-rational price forecasts. (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-bec, nep-cba, nep-dge and nep-fmk
Date: 2008-02
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Related works:
Working Paper: Stock Market Volatility and Learning (2007)
Working Paper: Stock Market Volatility and Learning (2008)
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