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Equilibrium Asset Pricing and Portfolio Choice Under Asymmetric Information

  • Bruno Biais
  • Peter Bossaerts
  • Chester Spatt

We analyze theoretically and empirically the implications of information asymmetry for equilibrium asset pricing and portfolio choice. In our partially revealing dynamic rational expectations equilibrium, portfolio separation fails, and indexing is not optimal. We show how uninformed investors should structure their portfolios, using the information contained in prices to cope with winner's curse problems. We implement empirically this price- contingent portfolio strategy. Consistent with our theory, the strategy outperforms economically and statistically the index. While momentum can arise in the model, in the data, the momentum strategy does not outperform the price-contingent strategy, as predicted by the theory. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail:, Oxford University Press.

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Article provided by Society for Financial Studies in its journal The Review of Financial Studies.

Volume (Year): 23 (2010)
Issue (Month): 4 (April)
Pages: 1503-1543

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Handle: RePEc:oup:rfinst:v:23:y:2010:i:4:p:1503-1543
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  1. DeMarzo, Peter & Skiadas, Costis, 1998. "Aggregation, Determinacy, and Informational Efficiency for a Class of Economies with Asymmetric Information," Journal of Economic Theory, Elsevier, vol. 80(1), pages 123-152, May.
  2. Wang, Jiang, 1993. "A Model of Intertemporal Asset Prices under Asymmetric Information," Review of Economic Studies, Wiley Blackwell, vol. 60(2), pages 249-82, April.
  3. Masahiro Watanabe, 2002. "Rational Trend Followers and Contrarians in Excessively Volatile, Correlated Markets," Yale School of Management Working Papers ysm267, Yale School of Management.
  4. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
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