Evaluating the Size of the Bootstrap Method for Fund Performance Evaluation

12 Pages Posted: 25 Mar 2017 Last revised: 14 Sep 2017

See all articles by Tingting Cheng

Tingting Cheng

Monash University

Cheng Yan

University of Essex

Date Written: March 22, 2017

Abstract

We investigate the validity and reliability of the bootstrap approach in fund performance evaluation by gauging the size. Monte Carlo simulations suggest that cross-sectional dependence may alter the size of this test and we propose a new panel bootstrap approach.

Keywords: Performance evaluation, Bootstrap, Monte Carlo simulation, Unobservable factors

JEL Classification: C15, G11, G12, G23

Suggested Citation

Cheng, Tingting and Yan, Cheng, Evaluating the Size of the Bootstrap Method for Fund Performance Evaluation (March 22, 2017). Economics Letters, 2017 (156), 36-41, 2017, Available at SSRN: https://ssrn.com/abstract=2939315

Tingting Cheng

Monash University ( email )

23 Innovation Walk
Wellington Road
Clayton, Victoria 3800
Australia

Cheng Yan (Contact Author)

University of Essex ( email )

Wivenhoe Park
Colchester, CO4 3SQ
United Kingdom

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
75
Abstract Views
545
Rank
576,502
PlumX Metrics