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Determinants of the Nordic hedge fund performance

Abstract

Hedge funds have become an important part of the financial sector. The development of the hedge funds in the Nordic countries has been rather robust. Therefore, it is important to identify the determinants of the hedge fund performance and isolate the managerial performance, i.e., the Jensen’s alpha. To this end, this paper construct cross sectional and panel model for the Nordic hedge funds over 2005–2018. The Fung-Hsieh 8-factor model and other models are developed to identify the determinants of the Nordic hedge fund performance. The effects of crises of different nature (local to global, hedge funds to banking sector) are also tested. The results indicate that Nordic hedge funds are capable to generate positive alpha during the crisis even exceeding the alpha of the economically stable time periods.

Keyword : hedge funds, Nordic countries, asset pricing, panel models, crisis variable, risk factors

How to Cite
Kolisovas, D., Giriūnienė, G., Baležentis, T., Štreimikienė, D., & Morkūnas, M. (2022). Determinants of the Nordic hedge fund performance. Journal of Business Economics and Management, 23(2), 426–450. https://doi.org/10.3846/jbem.2022.16170
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Mar 29, 2022
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References

Adrian, T., Fleming, M., Shachar, O., & Vogt, E. (2017). Market liquidity after the financial crisis. Annual Review of Financial Economics, 9, 43–83. https://doi.org/10.1146/annurev-financial-110716-032325

Agarwal, V., & Naik, N. Y. (2004). Risks and portfolio decisions involving hedge funds. Review of Financial Studies, 17(1), 63–98. https://doi.org/10.1093/rfs/hhg044

Agarwal, V., Green, T. C., & Rena, H. (2018). Alpha or beta in the eye of the beholder: What drives hedge fund flows? Journal of Financial Economics, 127(3), 417–434. https://doi.org/10.1016/j.jfineco.2018.01.006

Alliance Bernstein. (2012). Rooting Out Biases in Hedge-Fund Data. https://blog.alliancebernstein.com/post/en/2012/12/rooting-out-biases-in-hedge-fund-data

Almeida, C., Ardison, K., & Garcia, R. (2020). Nonparametric assessment of hedge fund performance. Journal of Econometrics, 214(2), 349–378. https://doi.org/10.1016/j.jeconom.2019.08.002

Ardia, D., & Boudt, K. (2018). The peer performance ratios of hedge funds. Journal of Banking and Finance, 87(C), 351–368. https://doi.org/10.1016/j.jbankfin.2017.10.014

Babecký, J., Havráneka, T., Matˇej˚u, J., Rusnáka, M., Smídková, K., & Vašíček, B. (2014). Banking, debt, and currency crises in developed countries: Stylizedfacts and early warning indicators. Journal of Financial Stability, 15, 1–17. https://doi.org/10.1016/j.jfs.2014.07.001

Berglund, A., Guidolin, M. & Pedio, M. (2018). Monetary policy after the crisis: Threat or opportunity to hedge funds’ alphas? (BAFFI CAREFIN Centre Research Paper No. 2018-84). https://doi.org/10.2139/ssrn.3225600

Bernard, C., Vanduffel, S., & Ye, J. (2019). A new efficiency test for ranking investments: Application to hedge fund performance. Economics Letters, 181, 203–207. https://doi.org/10.1016/j.econlet.2019.05.023

Bohl, M. T., Siklos, P. L., Stefan, M., & Wellenreuther, C. (2020). Price discovery in agricultural commodity markets: Do speculators contribute? Journal of Commodity Markets, 18, 100092. https://doi.org/10.1016/j.jcomm.2019.05.001

Canepa, A., González, M., & Skinner, F. S. (2020). Hedge fund strategies: A non-parametric analysis. International Review of Financial Analysis, 67, 101436. https://doi.org/10.1016/j.irfa.2019.101436

Cao, Ch., Liang, B., Lo, A. W., & Petrasek, L. (2018). Hedge fund holdings and stock market efficiency. The Review of Asset Pricing Studies, 8(1), 77–116. https://doi.org/10.1093/rapstu/rax015

Capocci, D., Corhay, A., & Hubner, G. (2005). Hedge fund performance and persistence in bull and bear markets. The European Journal of Finance, 11(5), 361–392. https://doi.org/10.1080/1351847042000286676

Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57–82. https://doi.org/10.1111/j.1540-6261.1997.tb03808.x

Chen, Y., Sun, J., Xu, W., & Jin, H. (2019). Empirical test of CAPM in Shanghai securities market. Finance, 9(1), 28–33. https://doi.org/10.12677/FIN.2019.91004

Denk, K., Djerroud, B., Seco, L., Shakourifar, M., & Zagso, R. (2020). Option-like properties in the distribution of hedge fund returns. Frontiers of Engineering Management, 7(2), 275–286. https://doi.org/10.1007/s42524-020-0095-3

Dewaele B., Pirotte, H., Tuchschmid, N., & Wallerstein, E. (2015). Assessing the performance of Funds of Hedge Funds (Working Papers CEB 11-041). Universite Libre de Bruxelles.

Dixon, L., Clancy, N., & Kumar, K. B. (2012). Hedge funds and systemic risk. RAND Corporation, Santa Monica, CA. https://www.rand.org/pubs/monographs/MG1236.html

Do, V., Faff, R., & Wickramanayake, J. (2005). An empirical analysis of hedge fund performance: The case of Australian hedge funds industry. Journal of Multinational Financial Management, 15(4–5), 377–393. https://doi.org/10.1016/j.mulfin.2005.04.006

Dou, W., Kogan, L., & Wu, W. (2021). Common fund flows: Flow hedging and factor pricing (Jacobs Levy Equity Management Center for Quantitative Financial Research Paper). https://doi.org/10.2139/ssrn.3543675

Duanmu, J., Li, Y., & Malakhov, A. (2020). Capturing hedge fund risk factor exposures: Hedge fund return replication with ETFs. The Financial Review, 55(3), 405–431. https://doi.org/10.1111/fire.12221

Edelman, D., Fung, W., Hsieh, D. A., & Naik, N. Y. (2012). Funds of hedge funds: Performance, risk and capital formation 2005 to 2010. Financial Markets and Portfolio Management, 26(1), 87–108. https://doi.org/10.1007/s11408-011-0180-z

Estrada, J. (2021). No hedge funds, no cry. https://doi.org/10.2139/ssrn.3807815

Evestment. (2018) Hedge fund exposure and tail risk industry report. https://www.evestment.com/resources/research-reports

Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56. https://doi.org/10.1016/0304-405X(93)90023-5

Fung, W., & Hsieh, D. A. (1997). Empirical characteristics of dynamic trading strategies: The case of hedge funds. Review of Financial Studies, 10(2), 275–302. https://doi.org/10.1093/rfs/10.2.275

Fung, W., & Hsieh, D. A. (2001). The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers. Review of Financial Studies, 14(2), 313–341. https://doi.org/10.1093/rfs/14.2.313

Fung, W., & Hsieh, D. A. (2004). Hedge fund benchmarks: A risk-based approach. Financial Analysts Journal, 60(5), 65–80. https://doi.org/10.2469/faj.v60.n5.2657

Gregoriou, G. N., Racicot, F. É., & Théoret, R. (2021). The response of hedge fund tail risk to macroeconomic shocks: A nonlinear VAR approach. Economic Modelling, 94, 843–872. https://doi.org/10.1016/j.econmod.2020.02.025

Grinblatt, M., Jostova, G., Petrasek, L., & Philipov, A. (2020). Style and skill: Hedge funds, mutual funds, and momentum. Management Science, 66(12), 5505–5531. https://doi.org/10.1287/mnsc.2019.3433

Hansen, L. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(3), 1029–1054. https://doi.org/10.2307/1912775

Helliwell, J. F., Layard, R., Sachs, J. D., De Neve, J. E., Aknin, L. B., & Wang, S. (2021). World Happiness Report. United Nations Program. https://happiness-report.s3.amazonaws.com/2021/WHR+21.pdf

Hespeler, F., & Loiacono, G. (2015). Monitoring systemic risk in the hedge fund sector (ESMA Working Paper, 2). https://www.esma.europa.eu/sites/default/files/library/esma_wp-2015-2_working_paper_no.2_2015_monitoring_systemic_risk_in_the_hedge_fund_sector.pdf

Joenväärä, J., Kauppila, M., Kosowski, R., & Tolonen, P. (2019). Hedge fund performance: Are stylized facts sensitive to which database one uses? (Critical Finance Review). https://ssrn.com/abstract=3359325

Kang, B. U., Kim, J. M., Palmon, O., & Zhong, Z. (2020). Are college education and job experience complements or substitutes? Evidence from hedge fund portfolio performance. Review of Quantitative Finance and Accounting, 54(4), 1247–1278. https://doi.org/10.1007/s11156-019-00824-5

Kanuri, S. (2020). Hedge fund performance in Japan. Review of Pacific Basin Financial Markets and Policies, 23(3), 2050023. https://doi.org/10.1142/S021909152050023X

Kolisovas, D. (2021a). Secrets of long livers: Crisis alpha. In Nordic hedge fund industry report 2021 (pp. 48–53). https://hedgenordic.com/wp-content/uploads/2021/03/HNIR2021.pdf

Kolisovas, D. (2021b). In the Face of COVID-19: Unusual crisis performance, Finding Alpha in Equities, (pp. 38–43). https://hedgenordic.com/wp-content/uploads/2021/05/Equities_2021.pdf

Liang, B., & Qiu, L. (2019). Hedge fund leverage: 2002–2017. European Financial Management, 25(4), 908–941. https://doi.org/10.1111/eufm.12202

Mensi, W., Shafiullah, M., Vo, X. V., & Kang, S. H. (2021). Volatility spillovers between strategic commodity futures and stock markets and portfolio implications: Evidence from developed and emerging economies. Resources Policy, 71, 102002. https://doi.org/10.1016/j.resourpol.2021.102002

Metzger, N., & Shenai, V. (2019). Hedge fund performance during and after the crisis: A comparative analysis of strategies 2007–2017. International Journal of Financial Studies, 7(1), 15. https://doi.org/10.3390/ijfs7010015

Oueslati, A., & Hammami, Y. (2018). Forecasting stock returns in Saudi Arabia and Malaysia. Review of Accounting and Finance, 17(2), 259–279. https://doi.org/10.1108/RAF-05-2017-0089

Pástor, L., & Stambaugh, R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, 111(3), 642–685. https://doi.org/10.1086/374184

Racicot, F. E. (2015). Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note. Applied Economics, 47(10), 981–989. https://doi.org/10.1080/00036846.2014.985373

Racicot, F. E., & Théoret, R. (2016). Macroeconomic shocks, forward-looking dynamics, and the behavior of hedge funds. Journal of Banking & Finance, 62, 41–61. https://doi.org/10.1016/j.jbankfin.2015.10.004

Racicot, F. É., & Théoret, R. (2019). Hedge fund return higher moments over the business cycle. Economic Modelling, 78, 73–97. https://doi.org/10.1016/j.econmod.2018.08.016

Racicot, F. E., Rentz, W. F., & Théoret, R. (2018). Testing the new Fama and French factors with illiquidity: A panel data investigation. Finance, 39(3), 45–102. https://doi.org/10.3917/fina.393.0045

Racicot, F. E., Théoret, R., & Gregoriou, G. N. (2021). The response of hedge fund higher moments risk to macroeconomic and illiquidity shocks. International Review of Economics and Finance, 73, 289–318. https://doi.org/10.1016/j.iref.2020.12.004

Robertson, J. (2018). Replica localization in East Asia: The case of the Asian hedge fund industry. Globalizations, 15(3), 407–421. https://doi.org/10.1080/14747731.2018.1424286

Ross, S. A. (1976). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13(3), 341–360. https://doi.org/10.1016/0022-0531(76)90046-6

Siegel, J. J. (2005). The Future for Investors: Why the tried and the true triumph over the bold and the new. Crown Publishing.

Stafylas, D., Anderson, K., & Uddin, M. (2018). Hedge fund performance attribution under various market conditions. International Review of Financial Analysis, 56, 221–237. https://doi.org/10.1016/j.irfa.2018.01.006

Sung, S., Chun, D., Cho, H., & Ryu, D. (2020). Hedge fund market runs during financial crises. Economic Research-Ekonomska Istraživanja, 34(1), 266–291. https://doi.org/10.1080/1331677X.2020.1782245

Swartz, L. M., & Emami-Langroodi, F. (2018). Relative Value Hedge Funds: A behavioral modeling of hedge fund risk and return factors. Journal of Behavioral Finance, 19(4), 462–482. https://doi.org/10.1080/15427560.2018.1434654

Teo, M. (2009). The geography of hedge funds. Review of Financial Studies, 22(9), 3531–3561. https://doi.org/10.1093/rfs/hhp007

Van Dyk, F., Van Vuuren, G., & Heymans, A. (2014). Hedge fund performance using scaled Sharpe and Treynor measures. International Business & Economics Research Journal (IBER), 13(6), 1261–1300. https://doi.org/10.19030/iber.v13i6.8920

Zhao, Y. L., Liu, F. Y., Liu, C. Y., Usman, M., Dutta, K. D. (2020). Readability of annual report and inefficient investment: Evidence from debt financing. Transformations in Business & Economics, 19(1(49)), 166–190.