An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns

The returns to hedge funds and other alternative investments are often highly serially correlated in sharp contrast to the returns of more traditional investment vehicles such as long-only equity portfolios and mutual funds. In this pap...

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Main Authors: Getmansky, Mila, Lo, Andrew, Makarov, Igor
Format: Working Paper
Language:en_US
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/1838
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author Getmansky, Mila
Lo, Andrew
Makarov, Igor
author_facet Getmansky, Mila
Lo, Andrew
Makarov, Igor
author_sort Getmansky, Mila
collection MIT
description The returns to hedge funds and other alternative investments are often highly serially correlated in sharp contrast to the returns of more traditional investment vehicles such as long-only equity portfolios and mutual funds. In this paper, we explore several sources of such serial correlation and show that the most likely explanation is illiquidity exposure, i.e., investments in securities that are not actively traded and for which market prices are not always readily available. For portfolios of illiquid securities, reported returns will tend to be smoother than true economic returns, which will understate volatility and increase risk-adjusted performance measures such as the Sharpe ratio. We propose an econometric model of illiquidity exposure and develop estimators for the smoothing profile as well as a smoothing-adjusted Sharpe ratio. For a sample of 908 hedge funds drawn from the TASS database, we show that our estimated smoothing coefficients vary considerably across hedge-fund style categories and may be a useful proxy for quantifying illiquidity exposure
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spelling mit-1721.1/18382019-04-12T08:22:49Z An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns Getmansky, Mila Lo, Andrew Makarov, Igor Hedge Funds Serial Correlation Market Efficiency Performance Smoothing Liquidity The returns to hedge funds and other alternative investments are often highly serially correlated in sharp contrast to the returns of more traditional investment vehicles such as long-only equity portfolios and mutual funds. In this paper, we explore several sources of such serial correlation and show that the most likely explanation is illiquidity exposure, i.e., investments in securities that are not actively traded and for which market prices are not always readily available. For portfolios of illiquid securities, reported returns will tend to be smoother than true economic returns, which will understate volatility and increase risk-adjusted performance measures such as the Sharpe ratio. We propose an econometric model of illiquidity exposure and develop estimators for the smoothing profile as well as a smoothing-adjusted Sharpe ratio. For a sample of 908 hedge funds drawn from the TASS database, we show that our estimated smoothing coefficients vary considerably across hedge-fund style categories and may be a useful proxy for quantifying illiquidity exposure 2003-03-14T20:10:32Z 2003-03-14T20:10:32Z 2003-03-14T20:10:32Z Working Paper http://hdl.handle.net/1721.1/1838 en_US MIT Sloan School of Management Working Paper;4288-03 649272 bytes application/pdf application/pdf
spellingShingle Hedge Funds
Serial Correlation
Market Efficiency
Performance Smoothing
Liquidity
Getmansky, Mila
Lo, Andrew
Makarov, Igor
An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title_full An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title_fullStr An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title_full_unstemmed An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title_short An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns
title_sort econometric model of serial correlation and illiquidity in hedge fund returns
topic Hedge Funds
Serial Correlation
Market Efficiency
Performance Smoothing
Liquidity
url http://hdl.handle.net/1721.1/1838
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