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Stock market volatility and learning Author info | Abstract | Publisher info | Download info | Related research | Statistics Klaus Adam () (European Central Bank, Kaiserstrasse 29, 60311 Frankfurt am Main, Germany. )
Albert Marcet () (Institut d’Anàlisi Economica CSIC, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain. )
Juan Pablo Nicolini () (Universidad Torcuato di Tella, Miñones 2177, Capital Federal, (C1428ATG) Argentina. )
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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.
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Paper provided by European Central Bank in its series Working Paper Series with number
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Date of creation: Feb 2008Date of revision:
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Keywords: Asset pricing ; learning ; near-rational price forecasts. ; Other versions of this item:
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