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Hedge Fund Portfolio Diversification Strategies Across the GFC

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This paper features an analysis of the effectiveness of a range of portfolio diversification strategies as applied to a set of 17 years of monthly hedge fund index returns on a set of ten market indices representing 13 major hedge fund categories, as compiled by the EDHEC Risk Institute. The 17-year period runs from the beginning of 1997 to the end of August 2014. The sample period, which incorporates both the Global Financial Crisis (GFC) and subsequent European Debt Crisis (EDC), is a challenging one for the application of diversification and portfolio investment strategies. The analysis features an examination of the diversification benefits of hedge fund investments through successive crisis periods. The connectedness of the Hedge Fund Indices is explored via application of the Diebold and Yilmaz (2009, 2014) spillover index. We conduct a series of portfolio optimisation analyses: comparing Markowitz with naive diversification, and evaluate the relative effectiveness of Markowitz portfolio optimisation with various draw-down strategies, using a series of backtests. Our results suggest that Markowitz optimisation matches the characteristics of these hedge fund indices quite well.

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File URL: http://www.econ.canterbury.ac.nz/RePEc/cbt/econwp/1427.pdf
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Paper provided by University of Canterbury, Department of Economics and Finance in its series Working Papers in Economics with number 14/27.

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Length: 26 pages
Date of creation: 10 Dec 2014
Handle: RePEc:cbt:econwp:14/27
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  4. FrancisX. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, 01.
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  15. Louis K.C. Chan & Jason Karceski & Josef Lakonishok, 1999. "On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model," NBER Working Papers 7039, National Bureau of Economic Research, Inc.
  16. Alexei Chekhlov & Stanislav Uryasev & Michael Zabarankin, 2005. "Drawdown Measure In Portfolio Optimization," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 13-58.
  17. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
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  19. Best, Michael J. & Grauer, Robert R., 1992. "Positively Weighted Minimum-Variance Portfolios and the Structure of Asset Expected Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(04), pages 513-537, December.
  20. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
  21. Lubos Pástor, 2000. "Portfolio Selection and Asset Pricing Models," Journal of Finance, American Finance Association, vol. 55(1), pages 179-223, 02.
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  24. Yang, Chunpeng & Li, Jinfang, 2014. "Two-period trading sentiment asset pricing model with information," Economic Modelling, Elsevier, vol. 36(C), pages 1-7.
  25. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
  26. Zabarankin, Michael & Pavlikov, Konstantin & Uryasev, Stan, 2014. "Capital Asset Pricing Model (CAPM) with drawdown measure," European Journal of Operational Research, Elsevier, vol. 234(2), pages 508-517.
  27. Rockafellar, R. Tyrrell & Uryasev, Stan & Zabarankin, M., 2007. "Equilibrium with investors using a diversity of deviation measures," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3251-3268, November.
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