IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

On the High-Frequency Dynamics of Hedge Fund Risk Exposures

  • ANDREW J. PATTON
  • TARUN RAMADORAI

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.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1111/jofi.12008
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by American Finance Association in its journal Journal of Finance.

Volume (Year): 68 (2013)
Issue (Month): 2 (04)
Pages: 597-635

as
in new window

Handle: RePEc:bla:jfinan:v:68:y:2013:i:2:p:597-635
Contact details of provider: Web page: http://www.afajof.org/

More information through EDIRC

Order Information: Web: http://www.afajof.org/membership/join.asp

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Brunnermeier, Markus K & Pedersen, Lasse Heje, 2004. "Predatory Trading," CEPR Discussion Papers 4639, C.E.P.R. Discussion Papers.
  2. Allan Timmermann & Halbert White & Ryan Sullivan, 1998. "Data-Snooping, Technical Trading, Rule Performance and the Bootstrap," FMG Discussion Papers dp303, Financial Markets Group.
  3. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.
  4. 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.
  5. Ferson, Wayne E & Schadt, Rudi W, 1996. " Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-61, June.
  6. 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.
  7. Goetzmann, William N. & Ingersoll, Jonathan & Ivković, Zoran, 2000. "Monthly Measurement of Daily Timers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 257-290, September.
  8. Wayne E. Ferson & Sergei Sarkissian & Timothy Simin, 2006. "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression," NBER Working Papers 12658, National Bureau of Economic Research, Inc.
  9. Wayne Ferson & Kenneth Khang, 2002. "Conditional Performance Measurement Using Portfolio Weights: Evidence for Pension Funds," NBER Working Papers 8790, National Bureau of Economic Research, Inc.
  10. Chen, Yong & Liang, Bing, 2007. "Do Market Timing Hedge Funds Time the Market?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(04), pages 827-856, December.
  11. Donald W.K. Andrews & Inpyo Lee & Werner Ploberger, 1992. "Optimal Changepoint Tests for Normal Linear Regression," Cowles Foundation Discussion Papers 1016, Cowles Foundation for Research in Economics, Yale University.
  12. Lehmann, Bruce N & Modest, David M, 1987. " Mutual Fund Performance Evaluation: A Comparison of Benchmarks and Benchmark Comparisons," Journal of Finance, American Finance Association, vol. 42(2), pages 233-65, June.
  13. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
  14. Nicolas P.B. Bollen & Robert E. Whaley, 2009. "Hedge Fund Risk Dynamics: Implications for Performance Appraisal," Journal of Finance, American Finance Association, vol. 64(2), pages 985-1035, 04.
  15. Matthew Spiegel & Harry Mamaysky & Hong Zhang, 2005. "Estimating the Dynamics of Mutual Fund Alphas and Betas," Yale School of Management Working Papers ysm353, Yale School of Management, revised 01 Apr 2005.
  16. Olivier Scaillet & Laurent Barras & Russell R. Wermers, 2005. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Working Papers CEB 05-014.RS, ULB -- Universite Libre de Bruxelles.
  17. Yakov Amihud & Haim Mendelson & Beni Lauterbach, 1996. "Market Microstructure and Securities Values: Evidence From the Tel Aviv Stock Exchange," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-7, New York University, Leonard N. Stern School of Business-.
  18. Ravi Jagannathan & Alexey Malakhov & Dmitry Novikov, 2010. "Do Hot Hands Exist among Hedge Fund Managers? An Empirical Evaluation," Journal of Finance, American Finance Association, vol. 65(1), pages 217-255, 02.
  19. Jon A. Christopherson & Wayne E. Ferson & Debra A. Glassman, 1996. "Conditioning Manager Alphas on Economic Information: Another Look at the Persistence of Performance," NBER Working Papers 5830, National Bureau of Economic Research, Inc.
  20. Stavros Panageas & Mark M. Westerfield, 2009. "High-Water Marks: High Risk Appetites? Convex Compensation, Long Horizons, and Portfolio Choice," Journal of Finance, American Finance Association, vol. 64(1), pages 1-36, 02.
  21. Busse, Jeffrey A, 1999. "Volatility Timing in Mutual Funds: Evidence from Daily Returns," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1009-41.
  22. William Fung & David A. Hsieh & Narayan Y. Naik & Tarun Ramadorai, 2008. "Hedge Funds: Performance, Risk, and Capital Formation," Journal of Finance, American Finance Association, vol. 63(4), pages 1777-1803, 08.
  23. Chance, Don M. & Hemler, Michael L., 2001. "The performance of professional market timers: daily evidence from executed strategies," Journal of Financial Economics, Elsevier, vol. 62(2), pages 377-411, November.
  24. Vikas Agarwal & Naveen D. Daniel & Narayan Y. Naik, 2009. "Role of Managerial Incentives and Discretion in Hedge Fund Performance," Journal of Finance, American Finance Association, vol. 64(5), pages 2221-2256, October.
  25. Melvyn Teo, 2009. "The Geography of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3531-3561, September.
  26. William Goetzmann & Jonathan Ingersoll & Stephen Ross, 1998. "High-Water Marks and Hedge Fund Management Contracts," Yale School of Management Working Papers ysm81, Yale School of Management, revised 01 Aug 2001.
  27. 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.
  28. Bruce N. Lehmann & David M. Modest, 1985. "Mutual Fund Performance Evaluation: A Comparison of Benchmarks and Benchmark Comparisons," NBER Working Papers 1721, National Bureau of Economic Research, Inc.
  29. Admati, Anat R, et al, 1986. " On Timing and Selectivity," Journal of Finance, American Finance Association, vol. 41(3), pages 715-30, July.
  30. Chen, Zhiwu & Knez, Peter J, 1996. "Portfolio Performance Measurement: Theory and Applications," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 511-55.
  31. Vikas Agarwal & Naveen D. Daniel & Narayan Y. Naik, 2011. "Do Hedge Funds Manage Their Reported Returns?," Review of Financial Studies, Society for Financial Studies, vol. 24(10), pages 3281-3320.
  32. Jagannathan, Ravi & Wang, Zhenyu, 1996. " The Conditional CAPM and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
  33. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, 06.
  34. Ramadorai, Tarun, 2008. "The Secondary Market for Hedge Funds and the Closed-Hedge Fund Premium," CEPR Discussion Papers 6877, C.E.P.R. Discussion Papers.
  35. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
  36. Ferson, Wayne & Khang, Kenneth, 2002. "Conditional performance measurement using portfolio weights: evidence for pension funds," Journal of Financial Economics, Elsevier, vol. 65(2), pages 249-282, August.
  37. 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 313-41.
  38. Sheridan Titman & Cristian Tiu, 2011. "Do the Best Hedge Funds Hedge?," Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 123-168.
  39. Chen, Hsiu-Lang & Jegadeesh, Narasimhan & Wermers, Russ, 2000. "The Value of Active Mutual Fund Management: An Examination of the Stockholdings and Trades of Fund Managers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 343-368, September.
  40. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October.
  41. Wayne Ferson & Tyler R. Henry & Darren J. Kisgen, 2006. "Evaluating Government Bond Fund Performance with Stochastic Discount Factors," Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 423-455.
  42. Nicolas P.B. Bollen & Veronika K. Pool, 2009. "Do Hedge Fund Managers Misreport Returns? Evidence from the Pooled Distribution," Journal of Finance, American Finance Association, vol. 64(5), pages 2257-2288, October.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bla:jfinan:v:68:y:2013:i:2:p:597-635. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.