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Heterogenität von Hedgefondsindizes

Author

Listed:
  • Heidorn, Thomas
  • Hoppe, Christian
  • Kaiser, Dieter G.

Abstract

Most research on the performance and risk of hedge funds are based on calculations that just use the data from one index provider. Also most product providers and even more and more investors are using hedge fund indices for benchmarking purposes. As some academic articles pointed out, the world of hedge fund indices is very heterogeneous. So the empirical results on the optimal hedge fund allocation an investor would obtain by using the indices of one data provider could severely change if he would use another subset of indices. This paper analyses the heterogeneity of hedge fund indices that results from the fact that each index provider looks at a different subset of underlying hedge funds. Therefore we calculate different risk and return measures for the data series of six different hedge fund index providers and highlight the observed differences. In a next step, we rank the results we obtained, to find out which composite and strategy indices from which data provider are best used for benchmarking purposes from the point of view of the investor.

Suggested Citation

  • Heidorn, Thomas & Hoppe, Christian & Kaiser, Dieter G., 2006. "Heterogenität von Hedgefondsindizes," Frankfurt School - Working Paper Series 71, Frankfurt School of Finance and Management.
    • Handle: RePEc:zbw:fsfmwp:71
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    References listed on IDEAS

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    1. William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
    2. Fung, William & Hsieh, David A., 1999. "A primer on hedge funds," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 309-331, September.
    3. Harry. M Kat & Faye Menexe, 2002. "Persistence in Hedge Fund Performance: The True Value of a Track Record," ICMA Centre Discussion Papers in Finance icma-dp2002-13, Henley Business School, University of Reading.
    4. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    5. Agarwal, Vikas & Naik, Narayan Y., 2000. "Multi-Period Performance Persistence Analysis of Hedge Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 327-342, September.
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    Citations

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    Cited by:

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    6. Böing, Philipp & Müller, Elisabeth, 2012. "Technological Capabilities of Chinese Enterprises: Who is Going to Compete Abroad?," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62081, Verein für Socialpolitik / German Economic Association.
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    8. Roßbach, Peter & Karlow, Denis, 2011. "The stability of traditional measures of index tracking quality," Frankfurt School - Working Paper Series 164, Frankfurt School of Finance and Management.
    9. Heimer, Thomas & Hölscher, Luise & Werner, Matthias Ralf, 2008. "Access to finance and venture capital for industrial SMEs," Frankfurt School - Working Paper Series 97, Frankfurt School of Finance and Management.
    10. Yu, Xiaofan, 2011. "A spatial interpretation of the persistency of China's provincial inequality," Frankfurt School - Working Paper Series 171, Frankfurt School of Finance and Management.

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    More about this item

    Keywords

    Heterogenität; Volatilität; Sharpe Ratio; Sterling Ratio; Calmar Ratio; Omega; Autokorrelation; Sortino Ratio; Schiefe; Wölbung; Kurtosis; Persistenz;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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