Does active management add value? New evidence from a quantile regression approach

References

• Abdelsalam, O., Fethi, M. D., Matallín, J. C., & Tortosa-Ausina, E. (2014). On the comparative performance of socially responsible and Islamic mutual funds. Journal of Economic Behavior & Organization, 103, S108–S128. doi: 10.1016/j.jebo.2013.06.011
   Web of Science ®Google Scholar
• Adams, J. C., Nishikawa, T., & Rao, R. P. (2018). Mutual fund performance, management teams, and boards. Journal of Banking & Finance, 92, 358–368. doi: 10.1016/j.jbankfin.2016.09.006
   Web of Science ®Google Scholar
• Agarwal, V., Boyson, N. M., & Naik, N. Y. (2009). Hedge funds for retail investors? An examination of hedged mutual funds. Journal of Financial and Quantitative Analysis, 44(2), 273–305. doi: 10.1017/S0022109009090188
   Web of Science ®Google Scholar
• Aiello, F., & Bonanno, G. (2019). Explaining differences in efficiency: A meta-study on local government literature. Journal of Economic Surveys, Forthcoming. doi: 10.1111/joes.12310
   Web of Science ®Google Scholar
• Alexander, G. J., Cici, G., & Gibson, S. (2007). Does motivation matter when assessing trade performance? An analysis of mutual funds. Review of Financial Studies, 20(1), 125. doi: 10.1093/rfs/hhl008
   Web of Science ®Google Scholar
• Annaert, J., Van den Broeck, J., & Vander Vennet, R. (2003). Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach. European Journal of Operational Research, 151(3), 617–632. doi: 10.1016/S0377-2217(02)00603-3
   Web of Science ®Google Scholar
• Aragon, Y., Daouia, A., & Thomas-Agnan, C. (2005). Nonparametric frontier estimation: A conditional quantile-based approach. Econometric Theory, 21(2), 358–389. doi: 10.1017/S0266466605050206.
   Web of Science ®Google Scholar
• Bădin, L., Daraio, C., & Simar, L. (2014). Explaining inefficiency in nonparametric production models: the state of the art. Annals of Operations Research, 214(1), 5–30. doi: 10.1007/s10479-012-1173-7
   Web of Science ®Google Scholar
• Banker, R. D., & Natarajan, R. (2008). Evaluating contextual variables affecting productivity using Data Envelopment Analysis. Operations Research, 56(1), 48–58. doi: 10.1287/opre.1070.0460
   Web of Science ®Google Scholar
• Bär, M., Kempf, A., & Ruenzi, S. (2011). Is a team different from the sum of its parts? Evidence from mutual fund managers. Review of Finance, 15(2), 359–396. doi: 10.1093/rof/rfq014
   Web of Science ®Google Scholar
• Bassett, G. W., Jr., & Chen, H. L. (2001). Portfolio style: Return-based attribution using quantile regression. Empirical Economics, 26(1), 293–305. doi: 10.1007/s001810100074
   Google Scholar
• Bertin, W. J., & Prather, L. (2009). Management structure and the performance of funds of mutual funds. Journal of Business Research, 62(12), 1364–1369. doi: 10.1016/j.jbusres.2008.11.003
   Web of Science ®Google Scholar
• Bessler, W., Blake, D., Lückoff, P., & Tonks, I. (2018). Fund flows, manager changes, and performance persistence. Review of Finance, 22(5), 1911–1947. doi: 10.1093/rof/rfx017
   Web of Science ®Google Scholar
• Boyson, N. M. (2010). Implicit incentives and reputational herding by hedge fund managers. Journal of Empirical Finance, 17(3), 283–299. doi: 10.1016/j.jempfin.2009.10.005
   Web of Science ®Google Scholar
• Brandouy, O., Kerstens, K., & Van de Woestyne, I. (2013). Backtesting super-fund portfolio strategies founded on frontier-based mutual fund ratings. In F. Pasiouras (Eds.), Efficiency and productivity growth in the financial services industry: Modelling in the financial services industry. Chichester, UK: Wiley.
   Google Scholar
• Briec, W., Kerstens, K., & Jokung, O. (2007). Mean-variance-skewness portfolio performance gauging: A general shortage function and dual approach. Management Science, 53(1), 135–149. doi: 10.1287/mnsc.1060.0596
   Web of Science ®Google Scholar
• Brown, K. C., Harlow, W. V., & Starks, L. T. (1996). Of tournaments and temptations: An analysis of managerial incentives in the mutual fund industry. Journal of Finance, 51(1), 85–110. doi: 10.1111/j.1540-6261.1996.tb05203.x
   Web of Science ®Google Scholar
• Buchinsky, M. (1998). Recent advances in quantile regression models: A practical guideline for empirical research. Journal of Human Resources, 33(1), 88–126. doi: 10.2307/146316
   Web of Science ®Google Scholar
• Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57–82. doi: 10.1111/j.1540-6261.1997.tb03808.x
   Web of Science ®Google Scholar
• Cazals, C., Florens, J.-P., & Simar, L. (2002). Nonparametric frontier estimation: A robust approach. Journal of Econometrics, 106(1), 1–25. doi: 10.1016/S0304-4076(01)00080-X
   Web of Science ®Google Scholar
• Chen, C. R., & Huang, Y. (2011). Mutual fund governance and performance: A quantile regression analysis of Morningstar’s Stewardship Grade. Corporate Governance: An International Review, 19(4), 311–333. doi: 10.1111/j.1467-8683.2011.00858.x
   Web of Science ®Google Scholar
• Chen, J., Hong, H., Huang, M., & Kubik, J. D. (2004). Does fund size erode mutual fund performance? The role of liquidity and organization. American Economic Review, 94(5), 1276–1302. doi: 10.1257/0002828043052277
   Web of Science ®Google Scholar
• Chen, J., Hong, H., Jiang, W., & Kubik, J. D. (2013). Outsourcing mutual fund management: Firm boundaries, incentives, and performance. The Journal of Finance, 68(2), 523–558. doi: 10.1111/jofi.12006
   Web of Science ®Google Scholar
• Chen, S. (2019). Quantile regression for duration models with time-varying regressors. Journal of Econometrics, 209(1), 1–17. doi: 10.1016/j.jeconom.2018.11.015
   Web of Science ®Google Scholar
• Choi, Y. K., & Murthi, B. P. S. (2001). Relative performance evaluation of mutual funds: A non-parametric approach. Journal of Business Finance & Accounting, 28(7–8), 853–876.
   Google Scholar
• Coad, A., & Hölzl, W. (2009). On the autocorrelation of growth rates. Journal of Industry, Competition and Trade, 9(2), 139–166. doi: 10.1007/s10842-009-0048-3
   Google Scholar
• Coad, A., & Rao, R. (2008). Innovation and firm growth in high-tech sectors: A quantile regression approach. Research Policy, 37(4), 633–648. doi: 10.1016/j.respol.2008.01.003
   Web of Science ®Google Scholar
• Cohen, R. B., Coval, J. D., & Pástor, Ľ. (2005). Judging fund managers by the company they keep. The Journal of Finance, 60(3), 1057–1096. doi: 10.1111/j.1540-6261.2005.00756.x
   Web of Science ®Google Scholar
• Daouia, A., & Simar, L. (2007). Nonparametric efficiency analysis: A multivariate conditional quantile approach. Journal of Econometrics, 140(2), 375–400. doi: 10.1016/j.jeconom.2006.07.002
   Web of Science ®Google Scholar
• Daraio, C., Kerstens, K., Nepomuceno, T., & Sickles, R. C. (2019). Empirical surveys of frontier applications: A meta-review. International Transactions in Operational Research. forthcoming. doi: 10.1111/itor.12649
   Google Scholar
• Daraio, C., & Simar, L. (2006). A robust nonparametric approach to evaluate and explain the performance of mutual funds. European Journal of Operational Research, 175(1), 516–542. doi: 10.1016/j.ejor.2005.06.010
   Web of Science ®Google Scholar
• Daraio, C., & Simar, L. (2007). Advanced robust and nonparametric methods in efficiency analysis. Methodology and applications. In Studies in Productivity and Efficiency. New York: Springer.
   Google Scholar
• Evans, A. L. (2008). Portfolio manager ownership and mutual fund performance. Financial Management, 37(3), 513–534. doi: 10.1111/j.1755-053X.2008.00023.x
   Web of Science ®Google Scholar
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, 120(3), 253–281. doi: 10.2307/2343100
   Google Scholar
• Ferreira, M. A., Keswani, A., Miguel, A. F., & Ramos, S. B. (2013). The determinants of mutual fund performance: A cross-country study. Review of Finance, 17(2), 483–525. doi: 10.1093/rof/rfs013
   Web of Science ®Google Scholar
• Ferson, W. E. (2010). Investment performance evaluation. CenFIS Working Paper 10-01, Federal Reserve Bank of Atlanta.
   Google Scholar
• Fitzenberger, B., Koenker, R., & Machado, J. A. F. (2002). Economic applications of quantile regression. New York: Physica-Verlag.
   Google Scholar
• Fu, R., & Wedge, L. (2011). Managerial ownership and the disposition effect. Journal of Banking & Finance, 35(9), 2407–2417. doi: 10.1016/j.jbankfin.2011.02.004
   Web of Science ®Google Scholar
• Füss, R., Kaiser, D. G., & Strittmatter, A. (2009). Measuring funds of hedge funds performance using quantile regressions: Do experience and size matter?. The Journal of Alternative Investments, 12(2), 41–53. doi: 10.3905/JAI.2009.12.2.041
   Google Scholar
• Glawischnig, M., & Sommersguter-Reichmann, M. (2010). Assessing the performance of alternative investments using non-parametric efficiency measurement approaches: Is it convincing? Journal of Banking & Finance, 34(2), 295–303. doi: 10.1016/j.jbankfin.2009.07.017
   Web of Science ®Google Scholar
• Goetzmann, W. N., Ingersoll, J. E., Jr., & Ross, S. A. (2003). High-water marks and hedge fund management contracts. Journal of Finance, 58(4), 1685–1717. doi: 10.1111/1540-6261.00581
   Web of Science ®Google Scholar
• Golec, J. (1996). The effects of mutual fund managers’ characteristics on their portfolio performance, risk and fees. Financial Services Review, 5(2), 133–148. doi: 10.1016/S1057-0810(96)90006-2
   Google Scholar
• Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9(2), 193–206. doi: 10.5465/amr.1984.4277628
   Web of Science ®Google Scholar
• Han, Y., Noe, T. H., & Rebello, M. (2017). Horses for courses: Fund managers and organizational structures. Journal of Financial and Quantitative Analysis, 52(6), 2779–2807. doi: 10.1017/S0022109017000795
   Web of Science ®Google Scholar
• Hao, L., & Naiman, D. Q. (2007). Quantile regression. Number 149 in quantitative applications in the social sciences. Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Hoff, A. (2007). Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1), 425–435. doi: 10.1016/j.ejor.2006.05.019
   Web of Science ®Google Scholar
• Hornstein, A. S., & Hounsell, J. (2016). Managerial investment in mutual funds: Determinants and performance implications. Journal of Economics and Business, 87, 18–34. doi: 10.1016/j.jeconbus.2016.05.002
   Web of Science ®Google Scholar
• Hu, J., & Chang, T. (2008). Decomposition of mutual fund underperformance. Applied Financial Economics Letters, 4(5), 363–367. doi: 10.1080/17446540701720675
   Google Scholar
• Huij, J., & Derwall, J. (2011). Global equity fund performance, portfolio concentration, and the fundamental law of active management. Journal of Banking & Finance, 35(1), 155–165. doi: 10.1016/j.jbankfin.2010.07.032
   Web of Science ®Google Scholar
• Ippolito, R. A. (1989). Efficiency with costly information: A study of mutual fund performance, 1965–1984. Quarterly Journal of Economics, 104(1), 1–23. doi: 10.2307/2937832
   Web of Science ®Google Scholar
• Karagiannidis, I. (2010). Management team structure and mutual fund performance. Journal of International Financial Markets, Institutions and Money, 20(2), 197–211. doi: 10.1016/j.intfin.2009.10.003
   Web of Science ®Google Scholar
• Kempf, A., Ruenzi, S., & Thiele, T. (2009). Employment risk, compensation incentives, and managerial risk taking: Evidence from the mutual fund industry. Journal of Financial Economics, 92(1), 92–108. doi: 10.1016/j.jfineco.2008.05.001
   Web of Science ®Google Scholar
• Khorana, A., Servaes, H., & Wedge, L. (2007). Portfolio manager ownership and fund performance. Journal of Financial Economics, 85(1), 179–204. doi: 10.1016/j.jfineco.2006.08.001
   Web of Science ®Google Scholar
• Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143–156. doi: 10.1257/jep.15.4.143
   Web of Science ®Google Scholar
• Kumlin, L., & Puttonen, V. (2009). Does portfolio manager ownership affect fund performance? Finnish evidence. Finnish Journal of Business Economics, 58(2), 95–111.
   Google Scholar
• Luo, J. S., & Li, C. A. (2008). Futures market sentiment and institutional investor behavior in the spot market: The emerging market in Taiwan. Emerging Markets Finance and Trade, 44(2), 70–86. doi: 10.2753/REE1540-496X440204
   Web of Science ®Google Scholar
• Ma, L., Tang, Y., & Gómez, J.-P. (2019). Portfolio manager compensation in the US mutual fund industry. The Journal of Finance, 74(2), 587–638. doi: 10.1111/jofi.12749
   Web of Science ®Google Scholar
• Malhotra, D. K., Martin, R., & Russel, P. (2007). Determinants of cost efficiencies in the mutual fund industry. Review of Financial Economics, 16(4), 323–334. doi: 10.1016/j.rfe.2006.08.002
   Google Scholar
• McDonald, J. (2009). Using least squares and tobit in second stage DEA efficiency analyses. European Journal of Operational Research, 197(2), 792–798. doi: 10.1016/j.ejor.2008.07.039
   Web of Science ®Google Scholar
• Meligkotsidou, L., Vrontos, I. D., & Vrontos, S. D. (2009). Quantile regression analysis of hedge fund strategies. Journal of Empirical Finance, 16(2), 264–279. doi: 10.1016/j.jempfin.2008.10.002
   Web of Science ®Google Scholar
• Moreno, D., Rodríguez, R., & Zambrana, R. (2018). Management sub-advising in the mutual fund industry. Journal of Financial Economics, 127(3), 567–587. doi: 10.1016/j.jfineco.2018.01.004
   Web of Science ®Google Scholar
• Narbón-Perpiñá, I., & De Witte, K. (2018). Local governments’ efficiency: A systematic literature review – Part II. International Transactions in Operational Research, 25(4), 1107–1136. doi: 10.1111/itor.12389
   Web of Science ®Google Scholar
• Patel, S., & Sarkissian, S. (2017). To group or not to group? Evidence from mutual fund databases. Journal of Financial and Quantitative Analysis, 52(5), 1989–2021. doi: 10.1017/S0022109017000655
   Web of Science ®Google Scholar
• Prather, L. J., Bertin, W. J., & Henker, T. (2004). Mutual fund characteristics, managerial attributes, and fund performance. Review of Financial Economics, 13(4), 305–326. doi: 10.1016/j.rfe.2003.11.002
   Google Scholar
• Prather, L. J., & Middleton, K. L. (2002). Are N + 1 heads better than one? The case of mutual fund managers. Journal of Economic Behavior & Organization, 47(1), 103–120. doi: 10.1016/S0167-2681(01)00172-X
   Web of Science ®Google Scholar
• Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of productive processes. Journal of Econometrics, 136(1), 31–64. doi: 10.1016/j.jeconom.2005.07.009
   Web of Science ®Google Scholar
• Simar, L., & Wilson, P. W. (2008). Statistical inference in nonparametric frontier models: Recent developments and perspectives. In H. Fried, C. A. K. Lovell, & S. S. Schmidt (Eds.), The measurement of productive efficiency, chapter 4, 2nd ed. (pp. 421–521). Oxford: Oxford University Press.
   Google Scholar
• Simar, L., & Wilson, P. W. (2011). Two-stage DEA: Caveat emptor. Journal of Productivity Analysis, 36(2), 205–218. doi: 10.1007/s11123-011-0230-6
   Web of Science ®Google Scholar
• Tarnaud, A. C., & Leleu, H. (2018). Portfolio analysis with DEA: Prior to choosing a model. Omega, 75, 57–76. doi: 10.1016/j.omega.2017.02.003
   Web of Science ®Google Scholar
• Taylor, J. W., & Bunn, D. W. (1999). A quantile regression approach to generating prediction intervals. Management Science, 45(2), 225–237. doi: 10.1287/mnsc.45.2.225
   Web of Science ®Google Scholar