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Is size an input in the mutual fund performance evaluation with DEA?

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Abstract

It has been a common practice to evaluate the performance of mutual funds with data envelopment analysis (DEA). However, DEA itself is a “black box”, since there are no pre-determined inputs or outputs. This paper aims to add clarification to the “black box” nature of DEA by investigating whether fund size has to be included among DEA inputs in the Turkish mutual fund performance evaluation. Fund managers receive a proportion of fund size as compensation. Therefore, besides the traditional risk and expense inputs, economies or diseconomies of scale may also be effective in the fund’s performance. For these reasons, the evaluation of fund performance by using DEA may require fund size as an input. Yet, few international study adds size as an input to the DEA. The evidence is even scarcer for developing country fund markets. To the extent of our knowledge, size has not been utilized in the Turkish mutual fund performance evaluations. This paper aims to contribute to the literature by examining the linear and nonlinear relations between DEA scores and fund size for the Turkish mutual fund industry. For this aim, linear correlation, and Kendall and Spearman rank correlation coefficients are employed as well as a regression specification. The correlations and the regression results reveal a linear relationship between the efficiency scores and fund size. In general, this study presents stronger evidence for the fund size and fund efficiency relation than Basso and Funari (Eur J Finance 23:457–473, 2017) for the Turkish mutual fund market.

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Notes

  1. All of the analyses mentioned above are repeated by eliminating the largest fund which is determined as an outlier in order to understand whether the efficient frontier is under the outlier’s influence. The results are virtually the same. To conserve space, they are not given in the paper, but available on request.

  2. In a similar study, Babalos et al. (2012) add fund age with fund size among the explanatory variables in their regression analysis. Baghdadabad Tavakoli and Noori Houshyar (2014) use management and incentive fees besides fund size. Margaritis et al. (2007) only include the national vs international orientation of funds with fund size while investigating the possible factors affecting the fund efficiency. Since the aim of this study is to primarily detect the relation between fund size and efficiency and its exact shape is unknown, as in Basso and Funari (2017) we limit our regression analysis with only including size variable.

  3. Domestic investors are the main investor group in the Turkish mutual fund market. 96% of the Turkish mutual funds are held by domestic investors (TSPB 2015).

References

  • Alexakis, P., & Tsolas, L. (2011). Appraisal of mutual equity fund performance using data envelopment analysis. Multinational Finance Journal, 15(3), 273–296.

    Article  Google Scholar 

  • Ammann M. & Moerth P. (2005). Impact of fund size on hedge fund performance. University of St. Gallen Working Paper Series in Finance Paper No. 11.

  • Andreu, L., Serrano, M., & Vicente, L. (2019). Efficiency of mutual fund managers: A slacks-based manager efficiency index. European Journal of Operational Research, 273(3), 1180–1193.

    Article  Google Scholar 

  • Azad, M. A. K., Munisamy, S., Masum, A. K. M., Saona, P., & Wanke, P. (2017). Bank efficiency in Malaysia: A use of malmquist meta-frontier analysis. Eurasian Business Review, 7(2), 287–311.

    Article  Google Scholar 

  • Babalos, V., Caporale, G. M., & Philippas, N. (2012). Efficiency evaluation of Greek equity funds. Research in International Business and Finance, 26(2), 317–333.

    Article  Google Scholar 

  • Baghdadabad Tavakoli, M. R., & Noori Houshyar, A. (2014). Productivity and efficiency evaluation of US mutual funds. Finance a Uver—Czech Journal of Economics and Finance, 64(2), 120–144.

    Google Scholar 

  • Basílio, M. S., Pires, M. C. P., & Reis, J. F. P. (2016). Portuguese banks’ performance: Comparing efficiency with their Spanish counterparts. Eurasian Economic Review, 6(1), 27–44.

    Article  Google Scholar 

  • Basso, A., & Funari, S. (2017). The role of fund size in the performance of mutual funds assessed with DEA models. European Journal of Finance, 23, 457–473.

    Article  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.

    Article  Google Scholar 

  • Chevalier, J., & Ellison, G. (1997). Risk taking by mutual funds as a response to incentives. Journal of Political Economy, 105(6), 1167–1200.

    Article  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.

    Article  Google Scholar 

  • Çıtak, L. (2008). Evaluation of the efficiencies of securities investment trusts in Turkey by data envelopment analysis. Erciyes University Journal of Faculty of Economics and Administrative Sciences, 31, 69–94.

    Google Scholar 

  • Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Introduction to data envelopment analysis and its uses: With DEA-solver software and references. Berlin: Springer Science & Business Media.

    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.

    Article  Google Scholar 

  • Derviz, A., & Podpiera, J. (2008). Predicting bank CAMELS and S&P ratings: The case of the Czech Republic. Emerging Markets Finance and Trade, 44(1), 117–130.

    Article  Google Scholar 

  • EFAMA (2017). Asset Management Report 2017. Retrieved from https://www.efama.org/statistics/SitePages/Asset%20Management%20Report.aspx. Retrieval date 01.12.2019.

  • EFAMA (2018). Asset management report 2018. Retrieved from https://www.efama.org/statistics/SitePages/Asset%20Management%20Report.aspx. Retrieval date 01.12.2019.

  • EFAMA (2019). Asset management report 2019. Retrieved from https://www.efama.org/statistics/SitePages/Asset%20Management%20Report.aspx. Retrieval date 01.12.2019.

  • Ferreira, M. A., Keswani, A., Miguel, A. F., & Ramos, S. B. (2012). The flow-performance relationship around the world. Journal of Banking & Finance, 36(6), 1759–1780.

    Article  Google Scholar 

  • Galagedera, D. U. A., Roshdi, I., Fukuyama, H., & Zhu, J. (2018). A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds. Omega (United Kingdom), 77, 168–179.

    Google Scholar 

  • Gökgöz, F. (2009). Data envelopment analysis and applications to finance Applications to Finance Area. Ankara: Ankara University Faculty of Political Sciences No: 597.

    Google Scholar 

  • Gregoriou, G. N. (2007). Efficiency of US mutual funds using data envelopment analysis. In G. N. Gregoriou (Ed.), Performance of mutual funds an international perspective (1st ed., pp. 152–167). London: Palgrave Macmillan.

    Chapter  Google Scholar 

  • Grinblatt, M., & Titman, S. (1989). Mutual fund performance: An analysis of quarterly portfolio holdings. The Journal of Business, 62(3), 393–416.

    Article  Google Scholar 

  • Haslem, J. A., & Scheraga, C. A. (2003). Data envelopment analysis of morningstar’s large-cap mutual funds. Journal of Investing, 12(4), 41–48.

    Article  Google Scholar 

  • Haslem, J. A., & Scheraga, C. A. (2006). Data envelopment analysis of morningstar’s small-cap mutual funds. The Journal of Investing, 15(1), 87–92.

    Article  Google Scholar 

  • https://www.msci.com/emerging-markets. Retrieval Date: 06.12.2019.

  • Hu, J.-L., Yu, H.-E., & Wang, Y.-T. (2012). Manager attributes and fund performance: Evidence from Taiwan. Journal of Applied Finance & Banking, 2(4), 85–101.

    Google Scholar 

  • Investment Company Institute (2018). Investment company fact book 2018. Retrieved from https://www.ici.org/pubs/fact_books 09.12.2019.

  • Karakaya, A., Kurtaran, A., & Dağlı, H. (2014). Efficiency analysis of individual pension companies with data envelopmentanalysis: Evidence from Turkey. Journal of Management and Economics Research, 22, 1–23.

    Google Scholar 

  • Kempf, A., & Ruenzi, S. (2008). Tournaments in mutual-fund families. Review of Financial Studies, 21(2), 1013–1036.

    Article  Google Scholar 

  • Lehnert, T. (2019). Big moves of mutual funds. Eurasian Economic Review, 9(1), 1–27.

    Article  Google Scholar 

  • Margaritis, D., Otten, R., & Tourani-Rad, A. (2007). New Zeland equity fund performance appraisal: A non-parametric approach. In G. N. Gregoriou (Ed.), Performance of mutual funds an international perspective (pp. 17–30). New York: Palgrave Macmillan.

    Chapter  Google Scholar 

  • Murthi, B. P. S., Choi, Y. K., & Desai, P. (1997). Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach. European Journal of Operational Research, 98(2), 408–418.

    Article  Google Scholar 

  • Premachandra, I. M., Zhu, J., Watson, J., & Galagedera, D. U. A. (2012). Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition. Journal of Banking & Finance, 36(12), 3302–3317.

    Article  Google Scholar 

  • Sánchez-González, C., Sarto, J. L., & Vicente, L. (2017). The efficiency of mutual fund companies: Evidence from an innovative network SBM approach. Omega (United Kingdom), 71, 114–128.

    Google Scholar 

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

    Article  Google Scholar 

  • TSPB (2015) Türkiye Sermaye Piyasaları Birliği (Turkish Capital Markets Association), Türkiye Sermaye Piyasası Raporu 2018 (Turkish Capital Market Report 2015). https://www.tspb.org.tr/tr/yillik-yayinlar/. Retrieval date 28.11.2019.

  • TSPB (2016) Türkiye Sermaye Piyasaları Birliği (Turkish Capital Markets Association), Türkiye Sermaye Piyasası Raporu 2018 (Turkish Capital Market Report 2016). https://www.tspb.org.tr/tr/yillik-yayinlar/. Retrieval date 28.11.2019.

  • TSPB (2017) Türkiye Sermaye Piyasaları Birliği (Turkish Capital Markets Association), Türkiye Sermaye Piyasası Raporu 2018 (Turkish Capital Market Report 2017). https://www.tspb.org.tr/tr/yillik-yayinlar/. Retrieval date 28.11.2019.

  • TSPB (2018) Türkiye Sermaye Piyasaları Birliği (Turkish Capital Markets Association), Türkiye Sermaye Piyasası Raporu 2018 (Turkish Capital Market Report 2018). https://www.tspb.org.tr/tr/yillik-yayinlar/. Retrieval date 28.11.2019.

  • Tuzcu, S. E. (2015). A new look at mutual fund tournament hypothesis using spatial modeling (Unpublished Doctoral Dissertation). Ankara: Middle East Technical University.

    Google Scholar 

  • Yıldız, A. (2006). Evaluation of Portfolio performance with data envelopment analysis. Ankara University SBF Journal, 61(2), 211–234.

    Google Scholar 

Download references

Acknowledgements

A preliminary version of this paper was presented at the 26th EBES Conference—Prague on October 24–26, 2018 in Prague, Czech Republic with the support of the Istanbul Economic Research Association. The authors would like to thank to the participants and reviewers of the conference for their valuable comments and suggestions.

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Correspondence to Sevgi Eda Tuzcu.

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Tuzcu, S.E., Ertugay, E. Is size an input in the mutual fund performance evaluation with DEA?. Eurasian Econ Rev 10, 635–659 (2020). https://doi.org/10.1007/s40822-020-00141-6

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  • DOI: https://doi.org/10.1007/s40822-020-00141-6

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