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Data envelopment analysis models of investment funds

John D. Lamb and Kai-Hong Tee

European Journal of Operational Research, 2012, vol. 216, issue 3, 687-696

Abstract: This paper develops theory missing in the sizable literature that uses data envelopment analysis to construct return–risk ratios for investment funds. It explores the production possibility set of the investment funds to identify an appropriate form of returns to scale. It discusses what risk and return measures can justifiably be combined and how to deal with negative risks, and identifies suitable sets of measures. It identifies the problems of failing to deal with diversification and develops an iterative approximation procedure to deal with it. It identifies relationships between diversification, coherent measures of risk and stochastic dominance. It shows how the iterative procedure makes a practical difference using monthly returns of 30 hedge funds over the same time period. It discusses possible shortcomings of the procedure and offers directions for future research.

Keywords: Data envelopment analysis; Investment fund; Diversification; Coherent risk measure; Returns to scale; Stochastic dominance (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (36)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:216:y:2012:i:3:p:687-696

DOI: 10.1016/j.ejor.2011.08.019

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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