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Non-Parametric Analysis of Hedge Fund Returns: New Insights from High Frequency Data


  • Loriana Pelizzon

    () (Department of Economics, University Of Venice C� Foscari)

  • Monica Billio

    () (Department of Economics, University Of Venice C� Foscari)

  • Mila Getmansky

    () (Department of Finance and Operations Management Isenberg School of Management University of Massachusetts)


This paper examines four different daily datasets of hedge fund return indexes: MSCI, FTSE, Dow Jones and HFRX, all based on investable hedge funds, and three different monthly datasets of hedge fund return indexes: CSFB, CISDM and HFR which comprise both investable and non-investable hedge funds. Our study, based on standard statistical analysis, non-parametric analysis of the distribution and non-parametric regressions with respect to the S&P500 index shows that key data biases and disparate index construction methodologies lead to different statistical properties of hedge fund databases. One key variable that highly affects the statistical properties of hedge fund index returns is the �investability� of hedge funds

Suggested Citation

  • Loriana Pelizzon & Monica Billio & Mila Getmansky, 2008. "Non-Parametric Analysis of Hedge Fund Returns: New Insights from High Frequency Data," Working Papers 2008_11, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2008_11

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    References listed on IDEAS

    1. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    2. Billio, Monica & Getmansky, Mila & Pelizzon, Loriana, 2012. "Dynamic risk exposures in hedge funds," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3517-3532.
    3. 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.
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    More about this item


    Hedge Fund; Risk Management; High frequency data;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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