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Limits of Limits of Arbitrage: Theory and Evidence

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  • David Thesmar

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

Abstract

We present a model where arbitrageurs operate on an asset market that can be hit by information shocks. Before entering the market, arbitrageurs are allowed to optimize their capital structure, in order to take advantage of potential underpricing. We find that, at equilibrium, some arbitrageurs always receive funding, even in low information environments. Other arbitrageurs only receive funding in high information environments. The model makes two easily testable predictions: first, arbitrageurs with stable funding should experience more mean-reversion in returns, in particular following low performance. Second, this larger mean-reversion should be lower, if many other funds have stable fundings. We test these predictions on a sample of hedge funds, some of which impose impediments to withdrawal to their investors.
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Suggested Citation

  • David Thesmar, 2009. "Limits of Limits of Arbitrage: Theory and Evidence," Post-Print hal-00495715, HAL.
  • Handle: RePEc:hal:journl:hal-00495715
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    References listed on IDEAS

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    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
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    3. Tarun Ramadorai, 2012. "The Secondary Market for Hedge Funds and the Closed Hedge Fund Premium," Journal of Finance, American Finance Association, vol. 67(2), pages 479-512, April.
    4. Lerner, Josh & Schoar, Antoinette, 2004. "The illiquidity puzzle: theory and evidence from private equity," Journal of Financial Economics, Elsevier, vol. 72(1), pages 3-40, April.
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    6. Philippe Aghion & Patrick Bolton, 1992. "An Incomplete Contracts Approach to Financial Contracting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 473-494.
    7. Aragon, George O., 2007. "Share restrictions and asset pricing: Evidence from the hedge fund industry," Journal of Financial Economics, Elsevier, vol. 83(1), pages 33-58, January.
    8. Jeremy C. Stein, 2004. "Why Are Most Funds Open-End? Competition and the Limits of Arbitrage," NBER Working Papers 10259, National Bureau of Economic Research, Inc.
    9. Jeremy C. Stein, 2005. "Why are Most Funds Open-End? Competition and the Limits of Arbitrage," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 247-272.
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    Cited by:

    1. Tommaso Mancini Griffoli & Angelo Ranaldo, 2010. "Limits to arbitrage during the crisis: funding liquidity constraints and covered interest parity," Working Papers 2010-14, Swiss National Bank.
    2. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
    3. Charlie X. Cai & Robert Faff & Yongcheol Shin, 2018. "Noise Momentum Around the World," Abacus, Accounting Foundation, University of Sydney, vol. 54(1), pages 79-104, March.

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    More about this item

    Keywords

    Limits of Arbitrage;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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