Parameter uncertainty in estimation of ...
Document type :
Article dans une revue scientifique
Title :
Parameter uncertainty in estimation of portfolio efficiency: Evidence from an interval diversification-consistent DEA approach
Author(s) :
Xiao, Helu [Auteur]
Ren, Tiantian [Auteur]
Lille économie management - UMR 9221 [LEM]
Zhou, Zhongbao [Auteur]
Liu, Wenbin [Auteur]
Ren, Tiantian [Auteur]
Lille économie management - UMR 9221 [LEM]
Zhou, Zhongbao [Auteur]
Liu, Wenbin [Auteur]
Journal title :
Omega
Pages :
102357
Publisher :
Elsevier
Publication date :
2021-09
ISSN :
0305-0483
English keyword(s) :
Data envelopment analysis
Parameter uncertaint
yPortfolio efficiency
Diversification-consistent DEA
Mean-variance criterion
Parameter uncertaint
yPortfolio efficiency
Diversification-consistent DEA
Mean-variance criterion
HAL domain(s) :
Sciences de l'Homme et Société/Gestion et management
English abstract : [en]
Traditional data envelopment analysis (DEA) and diversification-consistent DEA, as the data-driven relative performance evaluation approaches, are widely used in the estimation of portfolio efficiency. To some extent, ...
Show more >Traditional data envelopment analysis (DEA) and diversification-consistent DEA, as the data-driven relative performance evaluation approaches, are widely used in the estimation of portfolio efficiency. To some extent, diversification-consistent DEA is more favored by researchers compared with traditional DEA for it deals fully with portfolio diversification. However, the existing studies assume that decision-makers can accurately estimate the statistical characteristics of portfolio returns and ignore the impact of parameter uncertainty on the portfolio efficiency and its ranking. In this paper, we construct three diversification-consistent DEA models under the mean-variance framework. We treat the expectation and covariance of portfolio return as interval values to characterize the parameter uncertainly in the proposed DEA models. And the bi-level programming models and the corresponding equivalent models are also provided to obtain the lower and upper bounds of portfolio efficiency. We select 30 American industry portfolios and perform some empirical analyses under different datasets to find out which model has better robustness in dealing with the impact of parameter uncertainty on the portfolio efficiency and its ranking. Finally, we provide some robustness tests to further verify the consistency of our findings.Show less >
Show more >Traditional data envelopment analysis (DEA) and diversification-consistent DEA, as the data-driven relative performance evaluation approaches, are widely used in the estimation of portfolio efficiency. To some extent, diversification-consistent DEA is more favored by researchers compared with traditional DEA for it deals fully with portfolio diversification. However, the existing studies assume that decision-makers can accurately estimate the statistical characteristics of portfolio returns and ignore the impact of parameter uncertainty on the portfolio efficiency and its ranking. In this paper, we construct three diversification-consistent DEA models under the mean-variance framework. We treat the expectation and covariance of portfolio return as interval values to characterize the parameter uncertainly in the proposed DEA models. And the bi-level programming models and the corresponding equivalent models are also provided to obtain the lower and upper bounds of portfolio efficiency. We select 30 American industry portfolios and perform some empirical analyses under different datasets to find out which model has better robustness in dealing with the impact of parameter uncertainty on the portfolio efficiency and its ranking. Finally, we provide some robustness tests to further verify the consistency of our findings.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :