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Stock Market Volatility and Learning Author info | Abstract | Publisher info | Download info | Related research | Statistics Albert Marcet ()
Klaus Adam ()
Juan Pablo Nicolini ()
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Introducing bounded rationality in a standard consumption-based asset pricing model with 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 our learning scheme introduces just one free parameter and we only consider learning schemes that imply small deviations from full rationality. The findings are robust to the learning rule used and other model features. What is key is that agents forecast future stock prices using past information on prices.
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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number
732.08.
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Date of creation: 25 Jan 2008Date of revision:
Handle: RePEc:aub:autbar:732.08Contact details of provider: Postal: 08193, Bellaterra, Barcelona Phone: 34 93 592 1203 Web page: http://pareto.uab.cat More information through EDIRC
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Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
This paper has been announced in the following NEP Reports :
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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