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Review of Financial Studies Vol. 21 No. 6 2008

Learning and Asset Prices under Ambiguous Information

Markus Leippold; Fabio Trojani; Paolo Vanini

Abstract

[In a Lucas exchange economy with standard power utility, we study asset prices under learning and ambiguous information. In contrast with models featuring only learning or ambiguity, our model is successful in matching the equity premium, the interest rate, and the volatility of stock returns under empirically reasonable parameters. Our closed-form formulas also show that a severe downward bias arises in the empirical relation between stock returns and return volatility. We quantify this bias in simulations and show that our model can explain why such a relation is difficult to detect in the data.]

Volume
21
Issue
6
Pages
2565-2597
Sources
bibtex:phds-export.bib

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