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On the High-Frequency Dynamics of Hedge Fund Risk Exposures

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  • ANDREW J. PATTON
  • TARUN RAMADORAI

Abstract

We propose a new method to model hedge fund risk exposures using relatively high frequency conditioning variables. In a large sample of funds, we find substantial evidence that hedge fund risk exposures vary across and within months, and that capturing within-month variation is more important for hedge funds than for mutual funds. We consider different within-month functional forms, and uncover patterns such as day-of-the-month variation in risk exposures. We also find that changes in portfolio allocations, rather than changes in the risk exposures of the underlying assets, are the main drivers of hedge funds' risk exposure variation.
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Suggested Citation

  • Andrew J. Patton & Tarun Ramadorai, 2013. "On the High-Frequency Dynamics of Hedge Fund Risk Exposures," Journal of Finance, American Finance Association, vol. 68(2), pages 597-635, April.
  • Handle: RePEc:bla:jfinan:v:68:y:2013:i:2:p:597-635
    DOI: jofi.12008
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    File URL: http://hdl.handle.net/10.1111/jofi.12008
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    Cited by:

    1. Menkhoff, Lukas & Sarno, Lucio & Schmeling, Maik & Schrimpf, Andreas, 2012. "Currency momentum strategies," Journal of Financial Economics, Elsevier, vol. 106(3), pages 660-684.
    2. Della Corte, Pasquale & Ramadorai, Tarun & Sarno, Lucio, 2016. "Volatility risk premia and exchange rate predictability," Journal of Financial Economics, Elsevier, vol. 120(1), pages 21-40.
    3. Mathias S. Kruttli & Andrew J. Patton & Tarun Ramadorai, 2015. "The Impact of Hedge Funds on Asset Markets," Review of Asset Pricing Studies, Oxford University Press, vol. 5(2), pages 185-226.
    4. repec:gam:jecnmx:v:4:y:2016:i:1:p:13:d:65308 is not listed on IDEAS
    5. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    6. repec:eee:finana:v:56:y:2018:i:c:p:221-237 is not listed on IDEAS
    7. Bollen, Nicolas P. B., 2013. "Zero-R 2Hedge Funds and Market Neutrality," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(02), pages 519-547, April.
    8. Arısoy, Yakup Eser & Altay-Salih, Aslıhan & Akdeniz, Levent, 2015. "Aggregate volatility expectations and threshold CAPM," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 231-253.
    9. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, Elsevier.
    10. Mathias S. Kruttli & Phillip J. Monin & Sumudu W. Watugala, 2017. "Investor Concentration, Flows, and Cash Holdings : Evidence from Hedge Funds," Finance and Economics Discussion Series 2017-121, Board of Governors of the Federal Reserve System (U.S.).
    11. Denitsa Stefanova & Arjen Siegmann & Marcin Zamojski, 2014. "Hedge Fund Innovation," LSF Research Working Paper Series 14-13, Luxembourg School of Finance, University of Luxembourg.
    12. Namvar, Ethan & Phillips, Blake & Pukthuanthong, Kuntara & Raghavendra Rau, P., 2016. "Do hedge funds dynamically manage systematic risk?," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 1-15.
    13. Huang, Huichou & MacDonald, Ronald & Zhao, Yang, 2012. "Global Currency Misalignments, Crash Sensitivity, and Downside Insurance Costs," MPRA Paper 53745, University Library of Munich, Germany, revised 18 Nov 2013.
    14. Itzhak Ben-David & Francesco Franzoni & Augustin Landier & Rabih Moussawi, 2013. "Do Hedge Funds Manipulate Stock Prices?," Journal of Finance, American Finance Association, vol. 68(6), pages 2383-2434, December.
    15. Sermin Gungor & Jesus Sierra, 2014. "Search-for-Yield in Canadian Fixed-Income Mutual Funds and Monetary Policy," Staff Working Papers 14-3, Bank of Canada.
    16. Urbi Garay & Enrique ter Horst & German Molina & Abel Rodriguez, 2016. "Bayesian Nonparametric Measurement of Factor Betas and Clustering with Application to Hedge Fund Returns," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-23, March.
    17. Savona, Roberto, 2014. "Hedge fund systemic risk signals," European Journal of Operational Research, Elsevier, vol. 236(1), pages 282-291.
    18. Akay, Ozgur (Ozzy) & Senyuz, Zeynep & Yoldas, Emre, 2013. "Hedge fund contagion and risk-adjusted returns: A Markov-switching dynamic factor approach," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 16-29.
    19. Siegmann, Arjen & Stefanova, Denitsa, 2017. "The evolving beta-liquidity relationship of hedge funds," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 286-303.
    20. Mila Getmansky & Peter A. Lee & Andrew W. Lo, 2015. "Hedge Funds: A Dynamic Industry In Transition," NBER Working Papers 21449, National Bureau of Economic Research, Inc.
    21. repec:eee:glofin:v:33:y:2017:i:c:p:69-87 is not listed on IDEAS
    22. Lukas Menkhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2016. "Information Flows in Foreign Exchange Markets: Dissecting Customer Currency Trades," Journal of Finance, American Finance Association, vol. 71(2), pages 601-634, April.
    23. Benoît Dewaele, 2013. "Portfolio Optimization for Hedge Funds through Time-Varying Coefficients," Working Papers CEB 13-032, ULB -- Universite Libre de Bruxelles.
    24. Piccotti, Louis R., 2017. "Financial contagion risk and the stochastic discount factor," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 230-248.
    25. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O., 2014. "Macroeconomic risk and hedge fund returns," Journal of Financial Economics, Elsevier, vol. 114(1), pages 1-19.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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