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Multi-asset noisy rational expectations equilibrium with contingent claims

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  • Chabakauri, Georgy
  • Yuan, Kathy
  • Zachariadis, Konstantinos

Abstract

We consider a noisy rational expectations equilibrium in a multi-asset economy populated by informed and uninformed investors, and noise traders. Informed investors privately observe an aggregate risk factor affecting the probabilities of different states of the economy. Uninformed investors attempt to extract that information from asset prices, but full revelation is prevented by noise traders. We relax the usual assumption of normally distributed asset payoffs and allow for assets with more general payoff distributions, including contingent claims, such as options and other derivatives. We show that assets reveal information about the risk factor only if they help span the exposure of probabilities of states to the risk factor. When the market is complete, we provide equilibrium asset prices and optimal portfolios of investors in closed form. In incomplete markets, we derive prices and portfolios in terms of easily computable inverse functions.

Suggested Citation

  • Chabakauri, Georgy & Yuan, Kathy & Zachariadis, Konstantinos, 2014. "Multi-asset noisy rational expectations equilibrium with contingent claims," LSE Research Online Documents on Economics 60736, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:60736
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    File URL: http://eprints.lse.ac.uk/60736/
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    Cited by:

    1. 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.
    2. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2021. "Dispersed Information and Asset Prices," Working Papers hal-03118639, HAL.
    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. Dávila, Eduardo & Parlatore, Cecilia, 2023. "Volatility and informativeness," Journal of Financial Economics, Elsevier, vol. 147(3), pages 550-572.
    5. Albagli, Elias & Hellwig, Christian & Tsyvinski, Aleh, 2021. "Information Aggregation with Asymmetric Asset Payoffs," TSE Working Papers 21-1172, Toulouse School of Economics (TSE), revised Apr 2023.
    6. 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.
    7. Christian Keller & Michael C. Tseng, 2023. "Arrow-Debreu Meets Kyle: Price Discovery for Derivatives," Papers 2302.13426, arXiv.org, revised Mar 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; rational expectations; learning from prices; contingent claims; derivative securities;
    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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