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Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests

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Author Info

  • Kerstens, Kristiaan
  • Mounir, Amine
  • de Woestyne, Ignace Van

Abstract

There is a burgeoning literature using non-parametric frontier methods to measure mutual fund performance. These articles measure the relationship between the various characteristics (mainly return information and some costs of ownership) of these specialized financial products to establish a ranking using some efficiency measure. We argue in favor of the use of the shortage function, which is compatible with general investor preferences, and question some of the often maintained hypotheses in this line of research. The empirical part employs a large database of US and European mutual funds to offer extensive tests of the underlying modeling assumptions using various frontier estimators.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 35 (2011)
Issue (Month): 5 (May)
Pages: 1190-1201

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Handle: RePEc:eee:jbfina:v:35:y:2011:i:5:p:1190-1201

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Related research

Keywords: Shortage function Mutual funds Mean-Variance model Higher-order moments Data envelopment analysis Free disposal hull;

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References

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Cited by:
  1. Badrinath, S.G. & Gubellini, S., 2011. "On the characteristics and performance of long-short, market-neutral and bear mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1762-1776, July.
  2. Antonella Basso & Stefania Funari, 2012. "Constant and variable returns to scale DEA models for socially responsible investment funds," Working Papers 2012_20, Department of Economics, University of Venice "Ca' Foscari".
  3. Abdelsalam, Omneya & Duygun, Meryem & Matallín-Sáez, Juan Carlos & Tortosa-Ausina, Emili, 2014. "Do ethics imply persistence? The case of Islamic and socially responsible funds," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 182-194.
  4. Tsolas, Ioannis E., 2014. "Precious metal mutual fund performance appraisal using DEA modeling," Resources Policy, Elsevier, vol. 39(C), pages 54-60.

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