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The Investor Recognition Hypothesis in a Dynamic General Equilibrium: Theory and Evidence

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  • Alexander Shapiro
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    Abstract

    This article analyzes a dynamic general equilibrium under a generalization of Merton's (1987) investor recognition hypothesis. A class of informationally constrained investors is assumed to implement only a particular trading strategy. The model implies that, all else being equal, a risk premium on a less visible stock need not be higher than that on a more visible stock with a lower volatility--contrary to results derived in a static mean-variance setting. A consumption-based capital asset pricing model (CAPM) augmented by the generalized investor recognition hypothesis emerges as a viable contender for explaining the cross-sectional variation in unconditional expected equity returns. Copyright 2002, Oxford University Press.

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    Bibliographic Info

    Article provided by Society for Financial Studies in its journal Review of Financial Studies.

    Volume (Year): 15 (2002)
    Issue (Month): 1 (March)
    Pages: 97-141

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    Handle: RePEc:oup:rfinst:v:15:y:2002:i:1:p:97-141

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    Cited by:
    1. Albuquerque, Rui & Bauer, Gregory & Schneider, Martin, 2005. "International Equity Flows and Returns: A Quantitative Equilibrium Approach," CEPR Discussion Papers 5159, C.E.P.R. Discussion Papers.
    2. Ren, Yu & Shimotsu, Katsumi, 2009. "Improvement in finite sample properties of the Hansen-Jagannathan distance test," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 483-506, June.
    3. Juan Dubra & Helios Herrera, 2002. "Market Participation, Information and Volatility," Working Papers 0206, Centro de Investigacion Economica, ITAM.
    4. Allen, Linda & Bali, Turan G., 2007. "Cyclicality in catastrophic and operational risk measurements," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1191-1235, April.
    5. Armando Gomes & Gary Gorton & Leonardo Madureira, 2004. "SEC Regulation Fair Disclosure, Information, and the Cost of Capital," NBER Working Papers 10567, National Bureau of Economic Research, Inc.
    6. William N. Goetzmann & Massimo Massa & Andrei Simonov, 2004. "Portfolio Diversification and City Agglomeration," NBER Working Papers 10343, National Bureau of Economic Research, Inc.
    7. Bae, Kee-Hong & Ozoguz, Arzu & Tan, Hongping & Wirjanto, Tony S., 2012. "Do foreigners facilitate information transmission in emerging markets?," Journal of Financial Economics, Elsevier, vol. 105(1), pages 209-227.
    8. Peress, Joel, 2010. "The tradeoff between risk sharing and information production in financial markets," Journal of Economic Theory, Elsevier, vol. 145(1), pages 124-155, January.
    9. Boehme, Rodney D. & Danielsen, Bartley R. & Kumar, Praveen & Sorescu, Sorin M., 2009. "Idiosyncratic risk and the cross-section of stock returns: Merton (1987) meets Miller (1977)," Journal of Financial Markets, Elsevier, vol. 12(3), pages 438-468, August.
    10. Anna Pavlova & Roberto Rigobon, 2008. "The Role of Portfolio Constraints in the International Propagation of Shocks," Review of Economic Studies, Oxford University Press, vol. 75(4), pages 1215-1256.
    11. Pavlova, Anna & Rigobon, Roberto, 2005. "Wealth Transfers, Contagion and Portfolio Constraints," CEPR Discussion Papers 5117, C.E.P.R. Discussion Papers.
    12. Qian, Yiming & John, Kose & John, Teresa A., 2004. "Financial system design and liquidity provision by banks and markets in a dynamic economy," Journal of International Money and Finance, Elsevier, vol. 23(3), pages 385-403, April.
    13. Hugonnier, Julien, 2012. "Rational asset pricing bubbles and portfolio constraints," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2260-2302.
    14. Bodnaruk, Andriy & Ostberg, Per, 2009. "Does investor recognition predict returns?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 208-226, February.

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