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Information Aggregation via Contracting

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  • JIASUN LI

Abstract

When a group of investors with dispersed private information jointly invest in a risky project, how should they divide the project's profit? We show that a simple contract dividing profits in proportion to investors' risk tolerances may facilitate information aggregation by altering investors' risk‐taking incentives when they decide on how investment strategies respond to private information. Our results provide a contracting‐based approach for information aggregation, which is an alternative to learning from endogenous market variables (e.g., prices) via contingent schedules as seen in well‐known rational expectations equilibrium models.

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  • Jiasun Li, 2023. "Information Aggregation via Contracting," Journal of Finance, American Finance Association, vol. 78(2), pages 935-965, April.
  • Handle: RePEc:bla:jfinan:v:78:y:2023:i:2:p:935-965
    DOI: 10.1111/jofi.13205
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    References listed on IDEAS

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    1. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    2. Sanford J. Grossman, 1981. "An Introduction to the Theory of Rational Expectations Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(4), pages 541-559.
    3. Holmstrom, Bengt & Myerson, Roger B, 1983. "Efficient and Durable Decision Rules with Incomplete Information," Econometrica, Econometric Society, vol. 51(6), pages 1799-1819, November.
    4. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    5. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    6. Graham, John R. & Harvey, Campbell R. & Puri, Manju, 2013. "Managerial attitudes and corporate actions," Journal of Financial Economics, Elsevier, vol. 109(1), pages 103-121.
    7. Raffi Indjejikian & Hai Lu & Liyan Yang, 2014. "Rational Information Leakage," Management Science, INFORMS, vol. 60(11), pages 2762-2775, November.
    8. Philip Bond & Alex Edmans & Itay Goldstein, 2012. "The Real Effects of Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 339-360, October.
    9. Alex Edmans & Itay Goldstein & Wei Jiang, 2012. "The Real Effects of Financial Markets: The Impact of Prices on Takeovers," Journal of Finance, American Finance Association, vol. 67(3), pages 933-971, June.
    10. 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.
    11. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    12. Admati, Anat R & Pfleiderer, Paul, 1990. "Direct and Indirect Sale of Information," Econometrica, Econometric Society, vol. 58(4), pages 901-928, July.
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