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Investment Horizons and Asset Prices under Asymmetric Information

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  • Elías Albagli

Abstract

I study a generalized OLG economy where asymmetrically informed agents have arbitrary investment horizons. As horizons increase, the age-adjusted risk aversion of investors fall, and the risk transfer from forced liquidators into voluntary buyers drops. Two equilibria coexist for long enough horizons: a stable, low volatility equilibrium, and an unstable one with higher volatility. Along the stable equilibrium, longer horizons raise prices, lower volatility, and incite aggressive trading by the informed investors, which impound their knowledge into prices and improve market efficiency. For short horizons, cautious trading disaggregates information from prices, and the economy approaches one with no private information.

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  • Elías Albagli, 2013. "Investment Horizons and Asset Prices under Asymmetric Information," Working Papers Central Bank of Chile 709, Central Bank of Chile.
    • Handle: RePEc:chb:bcchwp:709
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    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_709.pdf
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    1. YiLi Chien & Harold Cole & Hanno Lustig, 2012. "Is the Volatility of the Market Price of Risk Due to Intermittent Portfolio Rebalancing?," American Economic Review, American Economic Association, vol. 102(6), pages 2859-2896, October.
    2. Péter Kondor, 2012. "The More We Know about the Fundamental, the Less We Agree on the Price," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1175-1207.
    3. Dimitri Vayanos & Jiang Wang, 2012. "Liquidity and Asset Returns Under Asymmetric Information and Imperfect Competition," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1339-1365.
    4. Andrew B. Abel, 2003. "The Effects of a Baby Boom on Stock Prices and Capital Accumulation in the Presence of Social Security," Econometrica, Econometric Society, vol. 71(2), pages 551-578, March.
    5. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    6. 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.
    7. Masahiro Watanabe, 2008. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Journal of Finance, American Finance Association, vol. 63(1), pages 229-272, February.
    8. Jakša Cvitanić & Ali Lazrak & Lionel Martellini & Fernando Zapatero, 2006. "Dynamic Portfolio Choice with Parameter Uncertainty and the Economic Value of Analysts' Recommendations," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1113-1156.
    9. Joseph Chen & Samuel Hanson & Harrison Hong & Jeremy C. Stein, 2008. "Do Hedge Funds Profit From Mutual-Fund Distress?," NBER Working Papers 13786, National Bureau of Economic Research, Inc.
    10. Mark M. Carhart & Jennifer N. Carpenter & Anthony W. Lynch & David K. Musto, 2002. "Mutual Fund Survivorship," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1439-1463.
    11. John Y. Campbell & Luis M. Viceira, 1999. "Consumption and Portfolio Decisions when Expected Returns are Time Varying," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 433-495.
    12. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    13. Spiegel, Matthew, 1998. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 419-447.
    14. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.), THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 31, pages 465-472, World Scientific Publishing Co. Pte. Ltd..
    15. James M. Poterba, 2001. "Demographic Structure And Asset Returns," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 565-584, November.
    16. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    17. Kim, Tong Suk & Omberg, Edward, 1996. "Dynamic Nonmyopic Portfolio Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 141-161.
    18. Snehal Banerjee, 2011. "Learning from Prices and the Dispersion in Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3025-3068.
    19. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    20. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, February.
    21. Itzhak Ben-David & Francesco Franzoni & Rabih Moussawi, 2012. "Hedge Fund Stock Trading in the Financial Crisis of 2007--2009," The Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 1-54.
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