Stoforos, Chrysostomos and Degiannakis, Stavros and Palaskas, Theodosios (2017): Hedge Fund Returns under Crisis Scenarios: A Holistic Approach. Published in: Research in International Business and Finance No. 42 (2017): pp. 1196-1207.
This is the latest version of this item.
Preview |
PDF
MPRA_paper_80161.pdf Download (1MB) | Preview |
Abstract
The assets of the hedge fund industry are nearly equivalent to the GDP of the UK. The industry, which claims returns independent of markets conditions and has been blamed for economic crises, has attracted the interest of a wide range of financial and political players and academics. This paper, using monthly series performance data since January 1995, at a fund strategy level and S&P500, and a holistic and a developed dynamic correlation quantitative approach, aims to challenge the allegations and the claims, which have been made on rather incomplete research grounds. Statistically, the results strongly reject the claims of the vast majority of fund strategies, excluding the case of the macro and short strategies, over the crisis periods, suggesting that they cannot protect their investors like S&P500. Regarding the allegations, it is inferred that Hedge Funds are used in most cases as a scapegoat rather than actually being the cause of the crises.
Item Type: | MPRA Paper |
---|---|
Original Title: | Hedge Fund Returns under Crisis Scenarios: A Holistic Approach |
English Title: | Hedge Fund Returns under Crisis Scenarios: A Holistic Approach |
Language: | English |
Keywords: | Absolute Returns, Carhart’s Model, Dynamic Conditional Correlation, Financial Crisis, Hedge Funds, Structural Breaks. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G2 - Financial Institutions and Services > G23 - Non-bank Financial Institutions ; Financial Instruments ; Institutional Investors |
Item ID: | 96275 |
Depositing User: | Dr. Stavros Degiannakis |
Date Deposited: | 12 Oct 2019 05:50 |
Last Modified: | 12 Oct 2019 05:50 |
References: | Ackermann, C., Mcenally, R. and Ravenscraft, D. (1999). The Performance of Hedge Funds: Risk, Return, and Incentives, Journal of Finance, 54(3), 833-874. Agarwal, V. and Naik, N.Y. (2004). Risks and Portfolio Decisions Involving Hedge Funds, Review of Financial Studies, 17(1), 63-98. Amenc N., Martellini, L., and Vaissie, M. (2002). Benefits and Risks of Alternative Investment Strategies, Journal of Asset Management 4(2), 96-118. Amin, G. and Kat, H. (2003). Hedge funds performance 1990–2000. Do the money machines really add value? Journal of Financial and Quantitative Analysis 38(2), 251–274. Boasson V. and Boasson E. (2011). Risk and returns of hedge funds investment strategies, Investment Management and Financial Innovations, 8(2), 110-121. Blundell-Wignall A. (2007). An overview of hedge funds and structured products: Issues in leverage and risk, OECD Journal: Financial Market Trends, 2007(1), 37-57. Brown S.J., Goetzmann W.N. and Park, J. (2001). Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry, Journal of Finance, 56(5), 1869-1886. Brown, S.J. and Goetzmann, W.N. (1995). Performance Persistence, Journal of Finance, 50(2), 679-698. Brown, S.J., Goetzmann,W.N., Ibbotson, R.G. (1999). Offshore hedge funds: survival and performance, 1989-95, Journal of Business, 72(1), 91–117. Bussière M., Hoerova M. and Klaus B. (2014). Commonality in hedge fund returns: Driving factors and implications, ECB Working Paper Series, 1658. Carhart, M.M. (1997). On persistence in mutual fund performance. Journal of Finance, 52, 57-82. Cotton B. (2000). The Uncertain Science of Asset Allocation, SSRN Working Paper. Criton G. and Scaillet O. (2011). Time-Varying Analysis in Risk and Hedge Fund Performance: How Forecast Ability Increases Estimated Alpha. Swiss Finance Institute at HEC-University of Geneva, Working Paper. Degiannakis, S., Floros, C. and Filis, G. (2013). Oil and stock returns: Evidence from European industrial sector indices in a time-varying environment, Journal of International Financial Markets, Institutions and Money, 26(1), 175-191. Degiannakis, S., Livada, A., Duffy, D. and Filis, G. (2016). Business Cycle Synchronisation in EMU: Can Fiscal Policy Bring Member-Countries Closer? Economic Modelling, 52, 551-563. Do, V., Faff, R., Wickramanayake, J. (2005). An empirical analysis of Hedge Funds Performance: The case of Australian Hedge Funds industry. Journal of Multinational Financial Management, 15, 377-393. European Central Bank, (2008). Financial Stability Report, December 2008. Engle, R.F. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business and Economic Statistics, 20, 339-350. Engle, R.F. and Kroner, K.F. (1995). Multivariate Simultaneous Generalized ARCH. Econometric Theory, 11, 122-150. Engle, R.F., Granger, C.W.J. and Kraft, D. (1986). Combining Competing Forecasts of Inflation Using a Bivariate ARCH Model. Journal of Economic Dynamics and Control, 8, 151-165. Fama, E. F., French, A.K.R. (1993). Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics, 33, 3-56. Forbes, K. and Ribogon, R. (2002). No Contagion, Only Interpendence: Measuring Stock Market Co-Movements. The Journal of Finance, 57(5), 2223-2261. Fung, W. and Hsieh, D.A. (1997). Empirical characteristics of dynamic trading strategies: The case of Hedge funds. Review of Financial Studies, 10, 275–302. Fung, W. and Hsieh, D.A. (2002). Hedge Fund Benchmarks: Information Content and Biases, Financial Analysts Journal, 58(1), 22–34. Fung, W. and Hsieh, D.A.. (2004). Hedge Fund Benchmarks: A Risk-Based Approach. Financial Analysts Journal, 60, 65-80. Fung W. and Hsieh D.A. (2006). Hedge Funds: An Industry in its Adolescence. Federal Reserve Bank of Atlanta. Economic Review, 91(4), 1-33. Glosten, L., Jagannathan, R. and Runkle, D. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. Journal of Finance, 48, 1779–1801. Guesmi, K., Jebri, S., Jabri A. and Teulon, F. (2014). Are hedge funds uncorrelated with financial markets? An empirical assessment. Ipag Business School, Department of Research, WP 2014-103. International Organization of Securities Commissions (IOSCO) (2006). The regulatory environment for hedge funds, A survey and comparison, Final Report, November. Jordao G.A. and Moura M.L. (2011). Performance Analysis of Brazilian Hedge Funds. Journal of Multinational Financial Management, 21(3), 165-176. Leland H. (1999). Beyond Mean-Variance: Performance Measurement in a Non Symmetrical World’, Financial Analysts Journal, 55(1), 27-36. Liang, B. (1999). On the Performance of Hedge Funds. Financial Analysts Journal, 55(4), 72-85. Liang, B. (2000). Hedge Funds: The Living and the Dead, Journal of Financial and Quantitative Analysis 35(3), 309-325. Liang, B. (2001). Hedge Funds Performance: 1990-1999, Financial Analysts Journal, 57(1), 11-18. Palaskas T., Stoforos, C. and Drakatos, C. (2013). Hedge funds development and their role in economic crises. Scientific Annals of the Alexandru Ioan Cuza University of Iasi (SAAIC), 60(1), 173-186. Quaglia L. (2009). The Old and New Political Economy of Hedge Funds Regulation in the EU. West European Politics, 34(4). 665-682. Schneeweis, T. and Spurgin, R. (1998). Multifactor Analysis of hedge funds, Managed Futures and Mutual Fund Return and Risk Characteristics. Journal of Alternative Investments, 1(1), 1-24. Sharpe, W. F. (1964). Capital Asset Prices: a Theory of Market Equilibrium under Conditions of Risk. Journal of Finance, 19, 425-442. Steri, R., Giorgino, M., Viviani, D. (2008). The Italian Hedge Fund Industry: an Empirical Analysis of Performance and Persistence. Journal of Multinational Financial Management, 75-91. Stromqvist S. (2009). Hedge Funds and Financial Crises, Sveriges Riksbank’s Economic Review, 1, 87-106. Sun Z., Wang A. W. and Zheng L. (2015). Only winners in tough times repeat: Hedge fund performance persistence over different market conditions, SSRN Working Paper. Xekalaki, E. and Degiannakis, S. (2010). ARCH Models for Financial Applications, John Wiley & Sons Ltd., New York. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/96275 |
Available Versions of this Item
-
Hedge Fund Returns under Crisis Scenarios: A Holistic Approach. (deposited 14 Jul 2017 07:33)
- Hedge Fund Returns under Crisis Scenarios: A Holistic Approach. (deposited 12 Oct 2019 05:50) [Currently Displayed]