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Review of Financial Studies Vol. 21 No. 6 2008

Learning and Asset Prices Under Ambiguous Information

Markus Leippold1; Fabio Trojani2,3; Paolo Vanini4

1 Imperial College London · 2 University of St.Gallen · 3 Swiss Finance Institute · 4 #N#Zurich Cantonal Bank#N#

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.

DOI
10.1093/rfs/hhm035
Volume
21
Issue
6
Pages
2565-2597
Language
en
Sources
openalex crossref

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