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High-Water Marks and Hedge Fund Management Contracts with Partial Information


Dandan Song


affiliation not provided to SSRN

Jinqiang Yang


Shanghai University of Finance and Economics

Zhaojun Yang


Hunan University - School of Finance and Statistics

January 11, 2012


Abstract:     
This paper extends the Goetzmann, Ingersoll, and Ross (2003) model to the case of partial information, where the expected return of a hedge fund is not observable but known to be either high or low. The fund manager can dynamically update his belief about the true value of the expected return based on the realization of the net asset value of the hedge fund. Our main purpose is to study the impact of the uncertainty of the expected return on the pricing of the fund manager's various fees and the investor's claim. The results show that partial information has significant impact on the values of the fees and the claim. Specifically, a non-updating fund manager always underestimate the values, and more often than not, the amount underestimated is very significant. The closer the net asset value gets to the high-water mark or the larger the uncertainty of the expected return is, the bigger the amount underestimated will be.

Number of Pages in PDF File: 26

Keywords: high-water mark, hedge fund, performance fee, partial information

JEL Classification: G11, G31, E2

working papers series


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Date posted: January 12, 2012 ; Last revised: May 14, 2012

Suggested Citation

Song, Dandan, Yang, Jinqiang and Yang, Zhaojun, High-Water Marks and Hedge Fund Management Contracts with Partial Information (January 11, 2012). Available at SSRN: http://ssrn.com/abstract=1983698 or http://dx.doi.org/10.2139/ssrn.1983698

Contact Information

Dandan Song
affiliation not provided to SSRN ( email )
Jinqiang Yang
Shanghai University of Finance and Economics ( email )
777 Guoding Road
Shanghai, 200433
China
Zhaojun Yang (Contact Author)
Hunan University - School of Finance and Statistics ( email )
Changsha, Hunan 410079
China
+86 731 8864 9918 (Phone)
HOME PAGE: http://zjyang.blog.hnu.cn
Feedback to SSRN (Beta)


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