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Optimal research in financial markets with heterogeneous private information: a rational expectations model

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  • Tinn, Katrin

Abstract

This paper investigates prices and endogenous research decision for financial assets. In rational expectations models with public information, higher order beliefs make investors to overweight the public information relative to underlying fundamentals. The extent of this mispricing is higher if the variance of private signals is relatively high. The model presented in this paper extends this setting by incorporating the research cost decision and endogenising the variance of the private signals that short-lived investors obtain in each period. It turns out that investors will be less willing to research in periods when there is an alternative asset with high return available. Furthermore, the optimal research decision will depend on the time left to the maturity of the asset. This explains, in a rational setting, why long lived assets like stocks may be priced based on the public information rather than research on fundamentals. JEL Classification: G12, G14

Suggested Citation

  • Tinn, Katrin, 2005. "Optimal research in financial markets with heterogeneous private information: a rational expectations model," Working Paper Series 493, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2005493
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    1. Franklin Allen & Stephen Morris & Hyun Song Shin, 2003. "Beauty Contests, Bubbles and Iterated Expectations in Asset Markets," NajEcon Working Paper Reviews 391749000000000553, www.najecon.org.
    2. Calvo, Guillermo A. & Mendoza, Enrique G., 2000. "Rational contagion and the globalization of securities markets," Journal of International Economics, Elsevier, vol. 51(1), pages 79-113, June.
    3. Philippe Bacchetta & Eric Van Wincoop, 2008. "Higher Order Expectations in Asset Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 837-866, August.
    4. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    5. 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.
    6. Admati, Anat R, 1985. "A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets," Econometrica, Econometric Society, vol. 53(3), pages 629-657, May.
    7. Froot, Kenneth A. & Dabora, Emil M., 1999. "How are stock prices affected by the location of trade?," Journal of Financial Economics, Elsevier, vol. 53(2), pages 189-216, August.
    8. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    9. Menkhoff, L., 1998. "The noise trading approach -- questionnaire evidence from foreign exchange," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 547-564, June.
    10. Barberis, Nicholas & Shleifer, Andrei, 2003. "Style investing," Journal of Financial Economics, Elsevier, vol. 68(2), pages 161-199, May.
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    More about this item

    Keywords

    Financial markets imperfections; heterogeneous information; research costs;
    All these keywords.

    JEL classification:

    • 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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