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The impossibility of informationally efficient markets when forecasts are self-defeating

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  • Siemroth, Christoph

Abstract

A policy maker (PM) needs information that only financial market traders know in order to implement his optimal policy, and traders may aggregate this information in asset prices. In such a setting, prices can become uninformative, because the PM reacts to information contained in prices, thereby changing asset values and possibly punishing traders for revealing the information. I derive a necessary and sufficient condition for the possibility of fully revealing and accurate prices in large financial markets. Non-fulfillment of this condition means prices cannot be informationally efficient. The condition is also necessary and sufficient for the existence of fully revealing REE, and explains results from several applications in the literature. The condition implies that assets whose values are invertible in the underlying are superior in terms of information revelation compared to assets whose values are non-invertible.

Suggested Citation

  • Siemroth, Christoph, 2015. "The impossibility of informationally efficient markets when forecasts are self-defeating," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113110, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc15:113110
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    1. 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.
    2. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    3. 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.
    4. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    5. Radner, Roy, 1979. "Rational Expectations Equilibrium: Generic Existence and the Information Revealed by Prices," Econometrica, Econometric Society, vol. 47(3), pages 655-678, May.
    6. Ben S. Bernanke & Michael Woodford, 1997. "Inflation forecasts and monetary policy," Proceedings, Federal Reserve Bank of Cleveland, pages 653-686.
    7. Philip Bond & Itay Goldstein & Edward Simpson Prescott, 2010. "Market-Based Corrective Actions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 781-820, February.
    8. Edward Simpson Prescott, 2012. "Contingent capital: the trigger problem," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 98(1Q), pages 33-50.
    9. Siemroth, Christoph, 2014. "Why prediction markets work : the role of information acquisition and endogenous weighting," Working Papers 14-29, University of Mannheim, Department of Economics.
    10. Dubey, Pradeep & Geanakoplos, John & Shubik, Martin, 1987. "The revelation of information in strategic market games : A critique of rational expectations equilibrium," Journal of Mathematical Economics, Elsevier, vol. 16(2), pages 105-137, April.
    11. 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.
    12. repec:fip:fedreq:y:2012:i:1q:p:33-50:n:vol.98no.1 is not listed on IDEAS
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    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets

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