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Index Investing and Asset Pricing under Information Asymmetry and Ambiguity Aversion

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  • David Hirshleifer
  • Chong Huang
  • Siew Hong Teoh

Abstract

In a setting with information asymmetry and a tradable value-weighted market index, ambiguity averse investors hold undiversified portfolios, and assets have nonzero alphas. But when a passive fund offers the risk-adjusted market portfolio (RAMP), whose weights depend on information precisions as well as market values, all investors hold the same portfolios as in the economy without model uncertainty and thus engage in index investing. So RAMP improves participation and risk sharing. Asset alphas are zero with RAMP as pricing portfolio. RAMP can be implemented by a fund of funds even if no manager individually has sufficient knowledge to do so.

Suggested Citation

  • David Hirshleifer & Chong Huang & Siew Hong Teoh, 2017. "Index Investing and Asset Pricing under Information Asymmetry and Ambiguity Aversion," NBER Working Papers 24143, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24143
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    1. Karen K. Lewis, 1999. "Trying to Explain Home Bias in Equities and Consumption," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 571-608, June.
    2. Bruno Biais & Peter Bossaerts & Chester Spatt, 2010. "Equilibrium Asset Pricing and Portfolio Choice Under Asymmetric Information," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1503-1543, April.
    3. Antonio Mele & Francesco Sangiorgi, 2015. "Uncertainty, Information Acquisition, and Price Swings in Asset Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1533-1567.
    4. Mankiw, N. Gregory & Zeldes, Stephen P., 1991. "The consumption of stockholders and nonstockholders," Journal of Financial Economics, Elsevier, vol. 29(1), pages 97-112, March.
    5. H. Henry Cao & Tan Wang & Harold H. Zhang, 2005. "Model Uncertainty, Limited Market Participation, and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1219-1251.
    6. Nicola Gennaioli & Andrei Shleifer & Robert Vishny, 2015. "Money Doctors," Journal of Finance, American Finance Association, vol. 70(1), pages 91-114, February.
      • Nicola Gennaioli & Andrei Shleifer & Robert Vishny, "undated". "Money Doctors," Working Paper 69721, Harvard University OpenScholar.
      • Nicola Gennaioli & Andrei Shleifer & Robert Vishny, "undated". "Money Doctors," Working Paper 228501, Harvard University OpenScholar.
      • Gennaioli, Nicola & Shleifer, Andrei & Vishny, Robert W., 2014. "Money Doctors," Scholarly Articles 12965657, Harvard University Department of Economics.
      • Nicola Gennaioli & Andrei Shleifer & Robert W. Vishny, 2012. "Money Doctors," NBER Working Papers 18174, National Bureau of Economic Research, Inc.
      • Nicola Gennaioli & Andrei Shleifer & Robert Vishny, 2012. "Money Doctors," Working Papers 464, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
      • Nicola Gennaioli & Andrei Shleifer & Robert Vishny, 2012. "Money doctors," Economics Working Papers 1355, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Stijn Van Nieuwerburgh & Laura Veldkamp, 2009. "Information Immobility and the Home Bias Puzzle," Journal of Finance, American Finance Association, vol. 64(3), pages 1187-1215, June.
    8. Stijn Van Nieuwerburgh & Laura Veldkamp, 2010. "Information Acquisition and Under-Diversification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 779-805.
    9. Tesar, Linda L. & Werner, Ingrid M., 1995. "Home bias and high turnover," Journal of International Money and Finance, Elsevier, vol. 14(4), pages 467-492, August.
    10. Larry G. Epstein & Martin Schneider, 2010. "Ambiguity and Asset Markets," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 315-346, December.
    11. David Easley & Maureen O'Hara, 2010. "Microstructure and Ambiguity," Journal of Finance, American Finance Association, vol. 65(5), pages 1817-1846, October.
    12. Drew Fudenberg & David M. Kreps & David K. Levine, 2008. "On the Robustness of Equilibrium Refinements," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 5, pages 67-93, World Scientific Publishing Co. Pte. Ltd..
    13. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    14. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    15. French, Kenneth R & Poterba, James M, 1991. "Investor Diversification and International Equity Markets," American Economic Review, American Economic Association, vol. 81(2), pages 222-226, May.
    16. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    17. John H. Cochrane, 1999. "Portfolio advice of a multifactor world," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 59-78.
    18. repec:bla:jfinan:v:59:y:2004:i:4:p:1553-1583 is not listed on IDEAS
    19. Admati, Anat R, 1985. "A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets," Econometrica, Econometric Society, vol. 53(3), pages 629-657, May.
    20. H. Henry Cao & Bing Han & David Hirshleifer & Harold H. Zhang, 2011. "Fear of the Unknown: Familiarity and Economic Decisions," Review of Finance, European Finance Association, vol. 15(1), pages 173-206.
    21. David Easley & Maureen O'Hara, 2009. "Ambiguity and Nonparticipation: The Role of Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1817-1843, May.
    22. Peter Bossaerts & Paolo Ghirardato & Serena Guarnaschelli & William R. Zame, 2010. "Ambiguity in Asset Markets: Theory and Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1325-1359, April.
    23. Dimmock, Stephen G. & Kouwenberg, Roy & Mitchell, Olivia S. & Peijnenburg, Kim, 2016. "Ambiguity aversion and household portfolio choice puzzles: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 119(3), pages 559-577.
    24. Cooper, Ian & Sercu, Piet & Vanpée, Rosanne, 2013. "The Equity Home Bias Puzzle: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 7(4), pages 289-416, December.
    25. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2016. "A Rational Theory of Mutual Funds' Attention Allocation," Econometrica, Econometric Society, vol. 84, pages 571-626, March.
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    2. Yu, Edison G., 2018. "Dynamic market participation and endogenous information aggregation," Journal of Economic Theory, Elsevier, vol. 175(C), pages 491-517.

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    More about this item

    JEL classification:

    • F3 - International Economics - - International Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G4 - Financial Economics - - Behavioral Finance
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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