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Modeling hedge fund exposure to risk factors

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  • Jawadi, Fredj
  • Khanniche, Sabrina

Abstract

This paper examines the adjustment dynamics of hedge fund returns and studies their exposure to risk factors in a nonlinear framework for several types of strategies over the last two decades. Nonlinearity is justified by distortions due to the use of short selling, leverage, derivatives and illiquid assets for hedge fund strategies. Among nonlinear models, switching regime (STR) models are applied to reproduce the dynamics of hedge fund returns. This nonlinear multivariate modeling has the advantage of capturing the time-varying exposure of hedge fund strategies to risk factors, and of specifying the asymmetric relationship between hedge fund returns and risk. The findings are interesting and provide several contributions to the hedge fund literature. First, we show that the dynamics of hedge fund returns exhibit significant asymmetry and nonlinearity, indicating that they evolve and vary asymmetrically in accordance with stages in financial cycles. Second, hedge fund exposure to risk factors also varies over time, depending on the strategy and the regime. Finally, our modeling captures the most important changes in hedge fund exposure to risk factors induced by the recent global financial crisis (2008–2009).

Suggested Citation

  • Jawadi, Fredj & Khanniche, Sabrina, 2012. "Modeling hedge fund exposure to risk factors," Economic Modelling, Elsevier, vol. 29(4), pages 1003-1018.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:4:p:1003-1018
    DOI: 10.1016/j.econmod.2012.02.003
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    3. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    4. De Grauwe, Paul & Grimaldi, Marianna, 2005. "Heterogeneity of agents, transactions costs and the exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 691-719, April.
    5. Nicholas Chan & Mila Getmansky & Shane M. Haas & Andrew W. Lo, 2007. "Systemic Risk and Hedge Funds," NBER Chapters,in: The Risks of Financial Institutions, pages 235-338 National Bureau of Economic Research, Inc.
    6. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    7. Fredj Jawadi & Sabrina Khanniche, 2012. "Are hedge fund clones attractive financial products for investors?," Applied Economics Letters, Taylor & Francis Journals, vol. 19(8), pages 739-743, May.
    8. Carol Alexander & Anca Dimitriu, 2004. "The Art of Investing in Hedge Funds: Fund Selection and Optimal Allocations," ICMA Centre Discussion Papers in Finance icma-dp2004-01, Henley Business School, Reading University.
    9. Anderson, Heather M, 1997. "Transaction Costs and Non-linear Adjustment towards Equilibrium in the US Treasury Bill Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 465-484, November.
    10. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    11. Fredj Jawadi & Mohamed Hedi Arouri & Duc Khuong Nguyen, 2010. "Global financial crisis, liquidity pressure in stock markets and efficiency of central bank interventions," Applied Financial Economics, Taylor & Francis Journals, vol. 20(8), pages 669-680.
    12. Georges Prat & Fredj Jawadi, 2007. "Nonlinear stock prices adjustment in the G7 countries," Working Papers halshs-00172896, HAL.
    13. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
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    Cited by:

    1. Franck Martin & Mai lan Nguyen, 2015. "Asymmetric dynamics in the correlations of hedge fund strategy indices: what lessons about financial contagion ?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2110-2125.
    2. repec:eee:glofin:v:33:y:2017:i:c:p:69-87 is not listed on IDEAS

    More about this item

    Keywords

    Hedge funds; Style analysis; Nonlinearity; Switching Transition Regression models;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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