This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Hedge fund behavior: An ex-post analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Huyen Nguyen-Thi-Thanh () (LEO - Laboratoire d'économie d'Orleans - CNRS : UMR6221 - Université d'Orléans)
Abstract

This paper aims to analyze hedge fund index behavior over the 9-year period ranging from January 1994 to December 2002 with help of various statistical measures. The results indicate that hedge fund returns are not normally distributed and exhibit first order autocorrelation, a phenomenon known as smoothing or stale price bias. Entire period correlations between 13 hedge fund indices and 85 market factors provide evidence that most of hedge fund styles show strong positive correlations with equity and real estate indices, and negative correlations with volatility index. Two exceptions are Dedicated Short Bias and Long Short Equity indices, which exhibit significant negative correlations with equity indices but positive correlations with volatility index. However, these correlations vary over time, depending on market conditions. The results also reveal that hedge funds generally underperform than the market in upward periods but do better than the market in downward ones. Dedicated Short Bias and Long Short Equity are the only ones that make loss in upward markets and make profits in downside market.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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://halshs.archives-ouvertes.fr/docs/00/06/77/44/PDF/HedgeFundBehavior.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by HAL in its series Working Papers with number halshs-00067744_v1.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2004
Date of revision:
Handle: RePEc:hal:wpaper:halshs-00067744_v1

Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00067744/en/
Contact details of provider:
Web page: http://hal.archives-ouvertes.fr/

For technical questions regarding this item, or to correct its listing, contact: (CCSD).

Related research
Keywords: hedge fund; alternative investment; performance measurement;

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.:

  1. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 10(2), pages 275-302.
  2. Brown, Stephen J & Goetzmann, William N & Ibbotson, Roger G, 1999. "Offshore Hedge Funds: Survival and Performance, 1989-95," Journal of Business, University of Chicago Press, vol. 72(1), pages 91-117, January. [Downloadable!] (restricted)
    Other versions:
  3. 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. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? RePEc stands for Research Papers in Economics.

This page was last updated on 2009-11-28.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.