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Learning and Asset Prices Under Ambiguous Information

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  • 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. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org., Oxford University Press.

Suggested Citation

  • Markus Leippold & Fabio Trojani & Paolo Vanini, 2008. "Learning and Asset Prices Under Ambiguous Information," Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2565-2597, November.
  • Handle: RePEc:oup:rfinst:v:21:y:2008:i:6:p:2565-2597
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    More about this item

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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