The Art of Investing in Hedge Funds: Fund Selection and Optimal Allocations
AbstractWith institutional investors increasingly involved in alternative investments, portfolio optimisation within a large universe of hedge funds has become a key area for research. This paper develops a portfolio construction model that is specifically designed for funds of hedge funds, incorporating specific controls for operational limitations, data biases and incompleteness. Absolute performance is targeted by selecting funds according to their relative abnormal return, alpha. Whilst different factor models provide quite different estimates of a hedge fund’s alpha, we find that ranking funds according to their alpha is an efficient selection process. In an extensive out-of-sample historical analysis, funds of funds that are selected in this way and then allocated using constrained minimum variance optimisation are shown to perform much better than the equally weighted portfolio of all funds, or minimum variance portfolios of randomly selected funds. This is true even when hedge funds are selected according to their alphas produced by the simplest factor model. Of the four factor models considered in this analysis the best out-of-sample performance is obtained using the statistical factor model.
Download InfoIf 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.
Bibliographic InfoPaper provided by Henley Business School, Reading University in its series ICMA Centre Discussion Papers in Finance with number icma-dp2004-01.
Length: 38 pages
Date of creation: Jan 2004
Date of revision:
Contact details of provider:
Postal: PO Box 218, Whiteknights, Reading, Berks, RG6 6AA
Phone: +44 (0) 118 378 8226
Fax: +44 (0) 118 975 0236
Web page: http://www.henley.reading.ac.uk/
More information through EDIRC
Hedge fund; risk adjusted performance; mean-variance; constrained optimisation;
Find related papers by JEL classification:
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Giamouridis, Daniel & Vrontos, Ioannis D., 2007. "Hedge fund portfolio construction: A comparison of static and dynamic approaches," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 199-217, January.
- Jawadi, Fredj & Khanniche, Sabrina, 2012. "Modeling hedge fund exposure to risk factors," Economic Modelling, Elsevier, vol. 29(4), pages 1003-1018.
- Harris, Richard D.F. & Mazibas, Murat, 2010. "Dynamic hedge fund portfolio construction," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 351-357, December.
- Vrontos, Spyridon D. & Vrontos, Ioannis D. & Giamouridis, Daniel, 2008. "Hedge fund pricing and model uncertainty," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 741-753, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ed Quick).
If references are entirely missing, you can add them using this form.