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Multi-asset Noisy Rational Expectations Equilibrium with Contingent Claims

Author

Listed:
  • Georgy Chabakauri
  • Kathy Yuan
  • Konstantinos E Zachariadis

Abstract

We study a noisy rational expectations equilibrium in a multi-asset economy populated by informed and uninformed investors and noise traders. The assets can include state contingent claims such as Arrow–Debreu securities, assets with only positive payoffs, options or other derivative securities. The probabilities of states depend on an aggregate shock, which is observed only by the informed investor. We derive a three-factor CAPM with asymmetric information, establish conditions under which asset prices reveal information about the shock, and show that information asymmetry amplifies the effects of payoff skewness on asset returns. We also find that volatility derivatives make incomplete markets effectively complete, and their prices quantify market illiquidity and shadow value of information to uninformed investors.

Suggested Citation

  • Georgy Chabakauri & Kathy Yuan & Konstantinos E Zachariadis, 2022. "Multi-asset Noisy Rational Expectations Equilibrium with Contingent Claims," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2445-2490.
    • Handle: RePEc:oup:restud:v:89:y:2022:i:5:p:2445-2490.
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    File URL: http://hdl.handle.net/10.1093/restud/rdab081
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    Cited by:

    1. Dávila, Eduardo & Parlatore, Cecilia, 2023. "Volatility and informativeness," Journal of Financial Economics, Elsevier, vol. 147(3), pages 550-572.
    2. Laura Veldkamp & Anna Orlik, 2016. "Understanding Uncertainty Shocks and the Role of the Black Swan," Working Papers 16-04, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Eduardo Dávila & Cecilia Parlatore, 2021. "Trading Costs and Informational Efficiency," Journal of Finance, American Finance Association, vol. 76(3), pages 1471-1539, June.
    4. Matthijs Breugem & Adrian Buss, 2017. "Institutional Investors and Information Acquisition: Implications for Asset Prices and Informational Efficiency," NBER Working Papers 23561, National Bureau of Economic Research, Inc.
    5. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2021. "Dispersed Information and Asset Prices," Working Papers hal-03118639, HAL.
    6. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2024. "Information Aggregation with Asymmetric Asset Payoffs," Journal of Finance, American Finance Association, vol. 79(4), pages 2715-2758, August.
    7. Christian Keller & Michael C. Tseng, 2023. "Arrow-Debreu Meets Kyle: Price Discovery for Derivatives," Papers 2302.13426, arXiv.org, revised Jun 2024.
    8. Matthijs Breugem & Adrian Buss, 2017. "Institutional Investors and Information Acquisition: Implications for Asset Prices and Informational Efficiency," Carlo Alberto Notebooks 524, Collegio Carlo Alberto.

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    More about this item

    Keywords

    Asymmetric information; Learning from prices; Multi-asset economy;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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