Dynamic risk exposures in hedge funds

A regime-switching beta model is proposed to measure dynamic risk exposures of hedge funds to various risk factors during different market volatility conditions. Hedge fund exposures strongly depend on whether the equity market (S&P 500) is in the up, down, or tranquil regime. In the down-state of the market, when market volatility is high and returns are very low, S&P 500, Small-Large, Credit Spread, and VIX are common risk factors for most of the hedge fund strategies. This suggests that hedge fund exposures to the market, liquidity, credit, and volatility risks change depending on market conditions, and these risks are potentially common factors for the hedge fund industry in the down-state of the market.

[1]  Clifford S. Asness,et al.  Do Hedge Funds Hedge? , 2001 .

[2]  Monica Billio,et al.  Value-at-Risk: a multivariate switching regime approach , 2000 .

[3]  V. Karavas Alternative Investments in the Institutional Portfolio , 2000 .

[4]  Richard A. Brealey,et al.  Hedge Funds and Financial Stability: An Analysis of Their Factor Exposures , 2001 .

[5]  W. Fung,et al.  Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds , 1997 .

[6]  Jörn Dannemann,et al.  Testing for two components in a switching regression model , 2010, Comput. Stat. Data Anal..

[7]  Andrew W. Lo,et al.  What Happened to the Quants in August 2007?: Evidence from Factors and Transactions Data , 2008 .

[8]  A. Lo,et al.  What Happened to the Quants in August 2007? , 2007 .

[9]  David A. Chapman,et al.  Why constrain your mutual fund manager , 2004 .

[10]  Chris Brooks,et al.  The trading profitability of forecasts of the gilt–equity yield ratio , 2001, International Journal of Forecasting.

[11]  A. Lo,et al.  Systemic Risk and Hedge Funds , 2005 .

[12]  S. Satchell,et al.  The disappearance of style in the US equity market , 2007, Applied Financial Economics.

[13]  James D. Hamilton A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[14]  Nicolas P. B. Bollen,et al.  Hedge Fund Risk Dynamics: Implications for Performance Appraisal , 2007 .

[15]  Christopher J. Neely,et al.  Can Markov Switching Models Predict Excess Foreign Exchange Returns? , 2006 .

[16]  D. McFadden MEASUREMENT OF URBAN TRAVEL DEMAND , 1974 .

[17]  E. Fama,et al.  Common risk factors in the returns on stocks and bonds , 1993 .

[18]  Massimo Guidolin,et al.  International Asset Allocation Under Regime Switching, Skew and Kurtosis Preferences , 2007 .

[19]  W. Sharpe Asset allocation , 1992 .

[20]  V. Agarwal,et al.  Risks and Portfolio Decisions Involving Hedge Funds , 2004 .

[21]  Franklin R. Edwards,et al.  Hedge Fund Performance and Manager Skill , 2001 .

[22]  Sydney C. Ludvigson,et al.  The Declining Equity Premium: What Role Does Macroeconomic Risk Play? , 2008 .

[23]  James D. Hamilton Time Series Analysis , 1994 .

[24]  Turan G. Bali,et al.  Value at Risk and the Cross-Section of Hedge Fund Returns , 2006 .

[25]  M. Mitchell,et al.  Characteristics of Risk and Return in Risk Arbitrage , 2000 .

[26]  David Hsieh,et al.  Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases , 2000, Journal of Financial and Quantitative Analysis.

[27]  Dietmar G. Maringer,et al.  Finding the relevant risk factors for asset pricing , 2002, Comput. Stat. Data Anal..

[28]  Jeffrey Pontiff,et al.  How Are Derivatives Used? Evidence from the Mutual Fund Industry , 1999 .

[29]  Campbell R. Harvey,et al.  Time-Varying World Market Integration , 1994 .

[30]  Franklin Allen,et al.  Optimal Financial Crises , 1998 .

[31]  Andrew Ang,et al.  International Asset Allocation With Regime Shifts , 2002 .

[32]  James D. Hamilton Analysis of time series subject to changes in regime , 1990 .

[33]  H. White Maximum Likelihood Estimation of Misspecified Models , 1982 .

[34]  William N. Goetzmann,et al.  Portfolio Performance Manipulation and Manipulation-Proof Performance Measures , 2004 .

[35]  Monica Billio,et al.  Volatility and shocks spillover before and after EMU in European stock markets , 2003 .

[36]  René M. Stulz,et al.  Hedge Fund Contagion and Liquidity Shocks , 2010 .

[37]  L. Pedersen,et al.  Asset Pricing with Liquidity Risk , 2003 .

[38]  Igor Makarov,et al.  An econometric model of serial correlation and illiquidity in hedge fund returns , 2004 .

[39]  Bruce E. Hansen,et al.  Erratum: The likelihood ratio test under nonstandard conditions: Testing the Markov switching model of GNP , 1996 .

[40]  René M. Stulz,et al.  Charles A. Dice Center for Research in Financial Economics Why do Hedge Funds' Worst Returns Cluster? Common Liquidity Shocks vs. Contagion , 2008 .

[41]  René M. Stulz,et al.  Is There Hedge Fund Contagion? , 2006 .

[42]  Bing Liang,et al.  Do Hedge Funds Have Enough Capital? A Value-at-Risk Approach , 2003 .

[43]  Markus K. Brunnermeier,et al.  Market Liquidity and Funding Liquidity , 2005 .

[44]  Y. Amihud,et al.  Illiquidity and Stock Returns II: Cross-Section and Time-Series Effects , 2018, The Review of Financial Studies.

[45]  H. Akaike A new look at the statistical model identification , 1974 .

[46]  Franklin Allen,et al.  Limited market participation and volatility of asset prices , 1993 .

[47]  Jin Seo Cho,et al.  Testing for Regime Switching , 2007 .

[48]  Markus K. Brunnermeier Deciphering the Liquidity and Credit Crunch 2007-08 , 2008 .

[49]  H. Krolzig Markov-Switching Vector Autoregressions: Modelling, Statistical Inference, and Application to Business Cycle Analysis , 1997 .

[50]  James D. Hamilton Specification testing in Markov-switching time-series models , 1996 .

[51]  W. Fung,et al.  The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers , 2001 .