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The Valuation of Hedge Funds’ Equity Positions

Published online by Cambridge University Press:  29 July 2016

Gjergji Cici ,
Alexander Kempf  and
Alexander Puetz
Gjergji Cici
Affiliation:
[email protected], College of William and Mary, Mason School of Business, Williamsburg, VA23187
Alexander Kempf*
Affiliation:
[email protected], University of Cologne, Department of Finance, 50923Cologne, Germany
Alexander Puetz
Affiliation:
[email protected], University of Cologne, Department of Finance, 50923Cologne, Germany.
*
*Corresponding author: [email protected]
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Abstract

We provide evidence on the valuation of equity positions by hedge funds. Reported valuations deviate from standard valuations based on closing prices from the Center for Research in Security Prices for roughly 7% of the positions. These equity valuation deviations are positively related to illiquidity and price volatility of the underlying stocks. They respond to past performance and intensify after an advisor starts reporting to a commercial database. Furthermore, advisors with more valuation deviations show a stronger discontinuity in their reported returns around 0, manage a higher fraction of potentially fraudulent funds, report smoother returns, and exhibit an upward spike in their December reported returns.

Type
Research Articles
Information
Journal of Financial and Quantitative Analysis , Volume 51 , Issue 3 , June 2016 , pp. 1013 - 1037
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2016 

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References

Ackermann, C.; McEnally, R.; and Ravenscraft, D.. “The Performance of Hedge Funds: Risk, Return, and Incentives.” Journal of Finance, 54 (1999), 833–874.Google Scholar
Agarwal, V.; Daniel, N. D.; and Naik, N. Y.. “Do Hedge Funds Manage Their Reported Returns?” Review of Financial Studies, 24 (2011), 3281–3320.Google Scholar
Agarwal, V.; Fos, V.; and Jiang, W.. “Inferring Reporting-Related Biases in Hedge Fund Databases from Hedge Fund Equity Holdings.” Management Science, 59 (2013), 1271–1289.Google Scholar
Agarwal, V., and Naik, N. Y.. “Risks and Portfolio Decisions Involving Hedge Funds.” Review of Financial Studies, 17 (2004), 63–98.Google Scholar
Aiken, A. L.; Clifford, C. P.; and Ellis, J.. “Out of the Dark: Hedge Fund Reporting Biases and Commercial Databases.” Review of Financial Studies, 26 (2013), 208–243.CrossRefGoogle Scholar
Amihud, Y. “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects.” Journal of Financial Markets, 5 (2002), 31–56.Google Scholar
Aragon, G. O., and Nanda, V.. “Strategic Delays and Clustering in Hedge Fund Reported Returns.” Journal of Financial and Quantitative Analysis, forthcoming (2016).Google Scholar
Bollen, N. P. B., and Pool, V. K.. “Conditional Return Smoothing in the Hedge Fund Industry.” Journal of Financial and Quantitative Analysis, 43 (2008), 267–298.Google Scholar
Bollen, N. P. B., and Pool, V. K.. “Do Hedge Fund Managers Misreport Returns? Evidence from the Pooled Distribution.” Journal of Finance, 64 (2009), 2257–2288.Google Scholar
Bollen, N. P. B., and Pool, V. K.. “Suspicious Patterns in Hedge Fund Returns and the Risk of Fraud.” Review of Financial Studies, 25 (2012), 2673–2702.Google Scholar
Brown, S. J.; Goetzmann, W. N.; Liang, B.; and Schwarz, C. G.. “Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration.” Journal of Finance, 63 (2008), 2785–2815.Google Scholar
Brown, S. J.; Goetzmann, W. N.; Liang, B.; and Schwarz, C. G.. “Trust and Delegation.” Journal of Financial Economics, 103 (2012), 221–234.Google Scholar
Cassar, G., and Gerakos, J.. “Hedge Funds: Pricing Controls and the Smoothing of Self-Reported Returns.” Review of Financial Studies, 24 (2011), 1698–1734.Google Scholar
Cici, G.; Gibson, S.; and Merrick, J. J.. “Missing the Marks? Dispersion in Corporate Bond Valuations across Mutual Funds.” Journal of Financial Economics, 101 (2011), 206–226.Google Scholar
Dimmock, S. G., and Gerken, W. C.. “Regulatory Oversight and Return Misreporting by Hedge Funds.” Review of Finance, 20 (2016), 795–821.CrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.Google Scholar
Fung, W., and Hsieh, D. A.. “Hedge Fund Benchmarks: A Risk-Based Approach.” Financial Analysts Journal, 60 (2004), 65–80.Google Scholar
Getmansky, M.; Lo, A. W.; and Makarov, I.. “An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns.” Journal of Financial Economics, 74 (2004), 529–609.Google Scholar
Jylha, P. “Hedge Fund Return Misreporting: Incentives and Effects.” Working Paper, Imperial College London (2011).Google Scholar
Liang, B. “The Accuracy of Hedge Fund Returns.” Journal of Portfolio Management, 29 (2003), 111–122.Google Scholar
Pástor, L., and Stambaugh, R. F.. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy, 111 (2003), 642–685.Google Scholar
Patton, A. J.; Ramadorai, T.; and Streatfield, M.. “Change You Can Believe In? Hedge Fund Data Revisions.” Journal of Finance, 70 (2015), 963–999.CrossRefGoogle Scholar
Rogers, W. “Regression Standard Errors in Clustered Samples.” Stata Technical Bulletin, 13 (1993), 19–23.Google Scholar
Schwarz, C. G., and Potter, M. E.. “Revisiting Mutual Fund Portfolio Disclosure.” Working Paper, University of California Irvine and Babson College (2015).Google Scholar
Silverman, B. W. Density Estimation for Statistics and Data Analysis. New York, NY: Chapman and Hall (1986).Google Scholar
U.S. Securities and Exchange Commission. SEC Charges Multiple Hedge Fund Managers with Fraud in Inquiry Targeting Suspicious Investment Returns. Washington, DC: U.S. Securities and Exchange Commission (2011).Google Scholar
White, H. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, 48 (1980), 817–838.Google Scholar