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When Can Decision Makers Learn from Financial Market Prices?

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  • CHRISTOPH SIEMROTH

Abstract

I analyze a general setting where a policymaker needs information that financial market traders have in order to implement optimal policy, and prices can potentially reveal this information. Policy decisions, in turn, affect asset values. I derive a condition for the existence of fully revealing equilibria in competitive financial markets, which identifies all situations where learning from prices for policy purposes works. I discuss the possibility of using market information for banking supervision and central banking, and the general problem of asset design. I also demonstrate that some corporate prediction markets are ill‐designed, and show how to fix it.

Suggested Citation

  • Christoph Siemroth, 2021. "When Can Decision Makers Learn from Financial Market Prices?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1523-1552, September.
    • Handle: RePEc:wly:jmoncb:v:53:y:2021:i:6:p:1523-1552
    DOI: 10.1111/jmcb.12799
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    References listed on IDEAS

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    1. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    2. Daria Finocchiaro & Virginia Queijo Von Heideken, 2013. "Do Central Banks React to House Prices?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1659-1683, December.
    3. L’œillet, Guillaume & Licheron, Julien, 2012. "How does the European Central Bank react to oil prices?," Economics Letters, Elsevier, vol. 116(3), pages 445-447.
    4. James Dow & Itay Goldstein & Alexander Guembel, 2017. "Incentives for Information Production in Markets where Prices Affect Real Investment," Journal of the European Economic Association, European Economic Association, vol. 15(4), pages 877-909.
    5. Foucault, Thierry & Gehrig, Thomas, 2008. "Stock price informativeness, cross-listings, and investment decisions," Journal of Financial Economics, Elsevier, vol. 88(1), pages 146-168, April.
    6. Roberto Rigobon & Brian Sack, 2003. "Measuring The Reaction of Monetary Policy to the Stock Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 639-669.
    7. Allen, Beth E, 1981. "Generic Existence of Completely Revealing Equilibria for Economies with Uncertainty when Prices Convey Information," Econometrica, Econometric Society, vol. 49(5), pages 1173-1199, September.
    8. Radner, Roy, 1979. "Rational Expectations Equilibrium: Generic Existence and the Information Revealed by Prices," Econometrica, Econometric Society, vol. 47(3), pages 655-678, May.
    9. Guillaume L'Oeillet & Julien Licheron, 2012. "How does the European Central Bank react to oil prices?," Post-Print halshs-01141297, HAL.
    10. Marco Ottaviani & Peter Norman Sørensen, 2007. "Outcome Manipulation in Corporate Prediction Markets," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 554-563, 04-05.
    11. Ben S. Bernanke & Michael Woodford, 1997. "Inflation forecasts and monetary policy," Proceedings, Federal Reserve Bank of Cleveland, pages 653-686.
    12. Philip Bond & Itay Goldstein, 2015. "Government Intervention and Information Aggregation by Prices," Journal of Finance, American Finance Association, vol. 70(6), pages 2777-2812, December.
    13. Itay Goldstein & Alexander Guembel, 2008. "Manipulation and the Allocational Role of Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(1), pages 133-164.
    14. 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.
    15. Dow, James & Gorton, Gary, 1997. "Stock Market Efficiency and Economic Efficiency: Is There a Connection?," Journal of Finance, American Finance Association, vol. 52(3), pages 1087-1129, July.
    16. Alex Edmans & Itay Goldstein & Wei Jiang, 2015. "Feedback Effects, Asymmetric Trading, and the Limits to Arbitrage," American Economic Review, American Economic Association, vol. 105(12), pages 3766-3797, December.
    17. Berger, Allen N & Davies, Sally M & Flannery, Mark J, 2000. "Comparing Market and Supervisory Assessments of Bank Performance: Who Knows What When?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 641-667, August.
    18. Siemroth, Christoph, 2019. "The informational content of prices when policy makers react to financial markets," Journal of Economic Theory, Elsevier, vol. 179(C), pages 240-274.
    19. Jeffery W. Gunther & Mark E. Levonian & Robert R. Moore, 2001. "Can the stock market tell bank supervisors anything they don't already know?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II, pages 2-9.
    20. Suresh Sundaresan & Zhenyu Wang, 2015. "On the Design of Contingent Capital with a Market Trigger," Journal of Finance, American Finance Association, vol. 70(2), pages 881-920, April.
    21. Bo Cowgill & Eric Zitzewitz, 2015. "Corporate Prediction Markets: Evidence from Google, Ford, and Firm X," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1309-1341.
    22. Michael Woodford, 1994. "Nonstandard Indicators for Monetary Policy: Can Their Usefulness Be Judged from Forecasting Regressions?," NBER Chapters, in: Monetary Policy, pages 95-115, National Bureau of Economic Research, Inc.
    23. Page, Lionel & Siemroth, Christoph, 2017. "An experimental analysis of information acquisition in prediction markets," Games and Economic Behavior, Elsevier, vol. 101(C), pages 354-378.
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    Cited by:

    1. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, C.E.P.R. Discussion Papers.
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