Resampling DEA estimates of investment fund performance

John D. Lamb, Kai-Hong Tee

Research output: Contribution to journalArticle

15 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)834–841
Number of pages7
JournalEuropean Journal of Operational Research
Volume223
Issue number3
DOIs
Publication statusPublished - 16 Dec 2012

Fingerprint

Data envelopment analysis
Data Envelopment Analysis
Resampling
Estimate
Time series
Autocorrelation
Bootstrap
Confidence interval
Ranking
Uncertainty
Fund performance
Investment funds
Model

Keywords

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

Cite this

Resampling DEA estimates of investment fund performance. / Lamb, John D.; Tee, Kai-Hong.

In: European Journal of Operational Research, Vol. 223, No. 3, 16.12.2012, p. 834–841.

Research output: Contribution to journalArticle

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