Resampling DEA estimates of investment fund performance |
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Authors: | John D Lamb Kai-Hong Tee |
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Institution: | 1. University of Aberdeen Business School, Aberdeen AB24 3QY, United Kingdom;2. Loughborough University Business School, Loughborough LE11 3TU, United Kingdom |
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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. |
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Keywords: | Data envelopment analysis Bootstrap Investment fund Rank Bias |
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