ISSN: 2056-3736 (Online Version) | 2056-3728 (Print Version)

Investing in mutual funds: are you paying for performance or for the ties of the manager?

Costas Siriopoulos and Maria Skaperda

Correspondence: Costas Siriopoulos,

College of Business, Zayed University, U.A.E.

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This study analyses the performance of US Mutual Funds, from the perspective of Long Memory (LM), exploring if the returns of MFs are systematic due to their active management or they are random. The sample was 200 US equity MFs, from four categories, Large Cap, Middle Cap, Small Cap and World Stock, both 1- and 5-stars rating funds according to Morning Star rating. The time period was starting between 1981 and 2006 and ending 2016. Rescaled Range Analysis (R/S) employed for the Hurst exponent estimation, so to detect LM. Using Surrogate Data Analysis (SDA), the study was extended to Hurst exponent estimation for surrogate time series. The findings suggest that the selection of a MF presents a lot of complexity for investors. The 5-star MFs, with high qualified, and so expensive managers, tend to achieve random returns, while the returns of 1-star MFs, are more systematic. These MFs have higher fees than the 5-star MFs, but the management fees paid are quite inferior. This leads to the conclusion, that it might be preferable to pay for gaining an almost the same, but systematic return than to pay for the ties of the manager.


  Hurst exponent, Rescaled Range Analysis, Long Memory, Surrogate Data Analysis, Bootstrap, Mutual Fund Performance, Morning Star.


Aigner, E., M. Aistleitner , F. Glötzl and J. Kapeller (2018). “The Focus of Academic Economics: Before and After the Crisis”, Institute for Ecological Economics, Department for Socioeconomics, Vienna University of Economics and Business, Working Paper No. 75.

Babalos V. et al. (2008). Testing for persistence in mutual fund performance and the ex post verification problem: Evidence from the Greek market. Europ. J. Fin., 14, pp. 735-753.

Barber, M. B., D. T. Odean L. Zheng (2005). Out of Sight, Out of Mind: The Effects of Expenses on Mutual Fund Flows, Journal of Business, 78(6), pp. 2095-2119.

Bollen N., J.A. Busse (2005). Short term Persistence in Mutual Fund Performance. Rev. Fin. Stud. 18, pp. 569-597.

Brown, S. and W. Goetzmann (1995). Performance persistence. Journal of Finance, 50, pp. 679–698.

Busse, Jeffrey A. (1999). Volatility timing in mutual funds: Evidence from daily returns, Review of Financial Studies 12, pp. 1009-1041.

Capon, N., Fitzsimons, G. J., & Alan Prince, R. (1996). An individual level analysis of the mutual fund investment decision, Journal of Financial Services Research, 10(1), pp. 59– 82.

Carhart, M., (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), pp. 57–82.

Capocci, D., Corhay, A., & Huber, O. R. (2005). Hedge fund performance and persistence in bull and bear markets. The European Journal of Finance, 11(5), pp. 361–392.

Das, P.K.; Uma Rao, S.P. (2013). Performance evaluation of socially responsible mutual funds using style analysis. Soc. Responsib. J., 9, pp. 109–123.

De Souza, C., & Gokcan, S. (2004). Hedge Fund Investing: A Quantitative Approach to Hedge Fund Manager Selection and De-Selection. The Journal of Wealth Management, 6(4), pp. 52-73.

Driebusch C. (2013). Are High-Priced Managers Worth It? WSJ, March 1, 2013,

Doncel L.M., P. Grau-Carles and J. Sainz (2009). On the long-term behavior of mutual fund returns. Quant. Fin., 9(6), pp. 653–660.

Eling, M. (2009). Does hedge fund performance persist? Overview and new empirical evidence. European Financial Management, 15(2), pp. 362-401.

Elton, E. J., Gruber, M. J., & de Souza, A. (2019). Passive mutual funds and ETFs: Performance and comparison. Journal of Banking & Finance, 106, pp. 265-275.

Engen E.M, A. Lehnert, R. Kehoe (2000). Mutual Funds and the U.S. Equity Market. Fed. Res. Bul., December, pp. 797-812.

Giambona, E., and Joseph Golec (2007). Incentive Fees and Mutual Fund Volatility Timing, Western Finance Meetings.

Golec, Joseph (1992). Empirical tests of a principal-agent model of the investor-investment advisor relationship, Journal of Financial and Quantitative Analysis, 27, pp. 81-95.

Greene, M.T. and B.D. Fielitz, (1977). Long-term dependence in common stock returns. J.Fin.Econ, 4(3), pp. 339-349.

Grinblatt, M. and Titman, S., (1992). The persistence of mutual fund performance. Journal of Finance, 47, pp. 1977–1984.

Hereil, P., P. Mitaine, N. Moussavi, and T. Roncalli (2010). Mutual Fund Ratings and Performance Persistence, or

Hurst, H.E., (1951). Long-term storage capacity of reservoirs. Transactions of the Amer. Soc. of Civil Eng., 116, pp. 770-799.

ICI, .

Ippolito, R., (1989). Efficiency with costly information: a study of mutual fund perfomance, 1965–84. Q. J. Econ., 104, pp. 1–23.

Jensen M. C. (1967). The Performance of Mutual Funds in The Period 1945-1964. Journal of Finance, 23(2), pp. 389-416.

Kenchington, D., Wan, C., & Yüksel, H. Z. (2019). Gross profitability and mutual fund performance. Journal of Banking & Finance, 104, pp. 31-49.

Koulis, A., Botsaris, C., Adam, M., & Beneki, C. (2011). An assessment of the performance of Greek mutual equity funds selectivity and market timing.  Applied Mathematical Sciences, 5(4), pp. 159-171.

Kugiumtzis D. (2000). Surrogate Data test on time series. In “Nonlinear deterministic modelling and forecasting of economic and financial time series”, A. Soofi and L. Cao (eds).

Leontitsis A. (2003). A note on Shuffled Financial Surrogates. Math. and Comp. Modeling, 38, pp. 33-40.

Leontitsis A. and C. Vorlow (2005). Accounting for outliers and calendar effects in surrogate simulations of stock return sequences. Physica A, 368(2), pp. 522-530.

Lückoff P. (2011). Mutual Fund Performance and Performance Persistence. The Impact of Fund Flows and Manager Changes. Eds. Gabler Verlag | Springer Fachmedien Wiesbaden GmbH.

Mandelbrot B.B., (1972). Statistical methodology for nonperiodic cycles: from the covariance to R/S analysis. Annals of Econ. Soc. Measurements, 1, pp. 259 – 290.

Morningstar (2016). Performance Persistence Among U.S. Mutual Funds, January, Morningstar.

Morningstar Manager Research (2017).

Papadamou, S., Kyriazis, N. A., & Mermigka, L. (2017). Japanese mutual funds before and after the crisis outburst: A style-and performance-analysis. International Journal of Financial Studies, 5(1), 9.

Papadamou, S., and C. Siriopoulos (2004). American equity mutual funds in European markets: Hot hands phenomenon and style analysis, International Journal of Finance and Economics, 9, p.p. 85-97

Schreiber T. and A. Schmitz, (1996). Improved surrogate data for nonlinearity tests. Phys. Rev. Let. 77, pp. 635-638.

Sirri, E. R., & Tufano, P. (1998). Costly search and mutual fund flows, Journal of Finance, 53(5), 1589–1622.

Theiler J. et al. (1992). Testing for nonlinearity in time series: the method of surrogate data. Phys. D. 58, 77-94.

Thomas, A. and I. Tonks (2001). "Equity Performance of Segregated Pension Funds in the UK", Journal of Asset Management, 1(4), pp. 321-343

Tonks, Ian (2002). Performance Persistence of Pension Fund Managers Centre for Market and Public Organization, University of Bristol, CMPO,

Treynor, J. and Mazuy, M. (1966). Can mutual funds outguess the market? Harvard Bus. Rev., 44, pp. 131–136.