Resampling DEA estimates of investment fund performance

John D. Lamb, Kai-Hong Tee

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)834–841
Number of pages7
JournalEuropean Journal of Operational Research
Issue number3
Publication statusPublished - 16 Dec 2012


  • data envelopment analysis
  • bootstrap
  • investment fund
  • rank
  • bias


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