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Information Aggregation and Asymmetric Returns

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  • Albagli, Elias
  • Hellwig, Christian
  • Tsyvinski, Aleh

Abstract

We study noisy aggregation of dispersed information in financial markets beyond the usual parametric restrictions imposed on preferences, information, and return distributions. This allows a general characterization of asset returns by means of a risk-neutral probability measure that features excess weight on tail risks. Using this characterization, we show that noisy aggregation of dispersed information provides a unified explanation for several prominent cross-sectional return anomalies such as returns to skewness, returns to disagreement and interaction effects between the two. Moreover, this characterization can be linked to observable moments such as forecast dispersion and accuracy, and simple calibrations suggest the model can account for a significant fraction of empirical return anomalies.

Suggested Citation

  • Albagli, Elias & Hellwig, Christian & Tsyvinski, Aleh, 2022. "Information Aggregation and Asymmetric Returns," CEPR Discussion Papers 15644, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:15644
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    References listed on IDEAS

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    1. Kathy Yuan, 2005. "Asymmetric Price Movements and Borrowing Constraints: A Rational Expectations Equilibrium Model of Crises, Contagion, and Confusion," Journal of Finance, American Finance Association, vol. 60(1), pages 379-411, February.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. Milgrom, Paul R, 1981. "Rational Expectations, Information Acquisition, and Competitive Bidding," Econometrica, Econometric Society, vol. 49(4), pages 921-943, June.
    4. Hui Chen, 2010. "Macroeconomic Conditions and the Puzzles of Credit Spreads and Capital Structure," Journal of Finance, American Finance Association, vol. 65(6), pages 2171-2212, December.
    5. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    6. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    7. Milgrom, Paul R, 1979. "A Convergence Theorem for Competitive Bidding with Differential Information," Econometrica, Econometric Society, vol. 47(3), pages 679-688, May.
    8. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    9. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    10. Jing-Zhi Huang & Ming Huang, 2012. "How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 153-202.
    11. Yu, Jialin, 2011. "Disagreement and return predictability of stock portfolios," Journal of Financial Economics, Elsevier, vol. 99(1), pages 162-183, January.
    12. Marco Bassetto & Carlo Galli, 2019. "Is Inflation Default? The Role of Information in Debt Crises," American Economic Review, American Economic Association, vol. 109(10), pages 3556-3584, October.
    13. Robert Wilson, 1977. "A Bidding Model of Perfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 511-518.
    14. Bradyn Breon-Drish, 2015. "On Existence and Uniqueness of Equilibrium in a Class of Noisy Rational Expectations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 868-921.
    15. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
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