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Efficiency tests for mutual fund portfolios

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  • Jati Sengupta

Abstract

A set of nonparametric tests which includes the convex hull method and the stochastic dominance criteria is developed here for evaluating the performance of mutual fund portfolios. The empirical results support the hypothesis that some groups of funds based on new technology tend to outperform the others and in most cases the investor shows a preference for skewness, thus emphasizing an asymmetry in the mean variance relationship. Technology funds tend to exhibit second order stochastic dominance over the income and growth funds. This shows some new features of the mean variance efficiency frontier.

Suggested Citation

  • Jati Sengupta, 2003. "Efficiency tests for mutual fund portfolios," Applied Financial Economics, Taylor & Francis Journals, vol. 13(12), pages 869-876.
    • Handle: RePEc:taf:apfiec:v:13:y:2003:i:12:p:869-876
    DOI: 10.1080/09603100210161992
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    Cited by:

    1. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2012. "Efficiency evaluation of Greek equity funds," Research in International Business and Finance, Elsevier, vol. 26(2), pages 317-333.
    2. Agata Sielska, 2010. "Multicriteria rankings of open-end investment funds and their stability," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(1), pages 111-129.
    3. Tarnaud, Albane Christine & Leleu, Hervé, 2018. "Portfolio analysis with DEA: Prior to choosing a model," Omega, Elsevier, vol. 75(C), pages 57-76.
    4. Solórzano-Taborga, Pablo & Alonso-Conde, Ana Belén & Rojo-Suárez, Javier, 2018. "Efficiency and Persistence of Spanish Absolute Return Funds || Eficiencia y persistencia de los fondos de retorno absolutos españoles," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 25(1), pages 186-214, Junio.
    5. Romana Bangash & Arif Hussain & Muhammad Hassan Azhar, 2018. "Performance Evaluation of Mutual Funds: A Data Envelopment Analysis," Global Social Sciences Review, Humanity Only, vol. 3(2), pages 215-240, June.
    6. Mohammad Reza TAVAKOLI BAGHDADABAD & Afsaneh NOORI HOUSHYAR, 2014. "Productivity and Efficiency Evaluation of US Mutual Funds," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(2), pages 120-143, March.
    7. Chun-Hao Chang & Brice Dupoyet & Arun Prakash, 2008. "Effect of intervalling and skewness on portfolio selection in developed and developing markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(21), pages 1697-1707.
    8. Huyen Nguyen-Thi-Thanh, 2006. "Quantitative selection of hedge funds using data envelopment analysis," Post-Print halshs-00067742, HAL.
    9. Amporn SOONGSWANG & Yosawee SANOHDONTREE, 2011. "Equity Mutual Fund: Performances, Persistence and Fund Rankings," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(6), pages 1-27, October.
    10. Huyen Nguyen-Thi-Thanh, 2006. "On the Use of Data Envelopment Analysis in Hedge Fund Performance Appraisal," Working Papers halshs-00120292, HAL.
    11. Panayotis Alexakis & Ioannis Tsolas, 2011. "Appraisal of Mutual Equity Fund Performance Using Data Envelopment Analysis," Multinational Finance Journal, Multinational Finance Journal, vol. 15(3-4), pages 273-296, September.
    12. Lamb, John D. & Tee, Kai-Hong, 2012. "Data envelopment analysis models of investment funds," European Journal of Operational Research, Elsevier, vol. 216(3), pages 687-696.
    13. Babalos, Vassilios & Philippas, Nikolaos & Doumpos, Michael & Zompounidis, Constantin, 2011. "Mutual funds performance appraisal using stochastic multicriteria acceptability analysis," MPRA Paper 37953, University Library of Munich, Germany.
    14. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
    15. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.

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