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Resampling DEA estimates of investment fund performance

John D. Lamb and Kai-Hong Tee

European Journal of Operational Research, 2012, vol. 223, issue 3, 834-841

Abstract: Data envelopment analysis (DEA) is attractive for comparing investment funds because it handles different characteristics of fund distribution and gives a way to rank funds. There is substantial literature applying DEA to funds, based on the time series of funds’ returns. This article looks at the issue of uncertainty in the resulting DEA efficiency estimates, investigating consistency and bias. It uses the bootstrap to develop stochastic DEA models for funds, derive confidence intervals and develop techniques to compare and rank funds and represent the ranking. It investigates how to deal with autocorrelation in the time series and considers models that deal with correlation in the funds’ returns.

Keywords: Data envelopment analysis; Bootstrap; Investment fund; Rank; Bias (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:223:y:2012:i:3:p:834-841

DOI: 10.1016/j.ejor.2012.07.015

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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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