Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/177623
Authors: 
Niu, Cuizhen
Guo, Xu
McAleer, Michael
Wong, Wing-keung
Year of Publication: 
2017
Series/Report no.: 
Tinbergen Institute Discussion Paper No. 17-055/III
Abstract: 
Homm and Pigorsch (2012a) use the Aumann and Serrano index to develop a new economic performance measure (EPM), which is well known to have advantages over other measures. In this paper, we extend the theory by constructing a one-sample confidence interval of EPM, and construct confidence intervals for the dfference of EPMs for two independent samples. We also derive the asymptotic distribution for EPM and for the dfference of two EPMs when the samples are independent. We conduct simulations to show the proposed theory performs well for one and two independent samples. The simulations show that the proposed approach is robust in the dependent case. The theory developed is used to construct both one-sample and two-sample confidence intervals of EPMs for Singapore and USA stock indices.
Subjects: 
Economic performance measure
Asymptotic confidence interval
Bootstrap-based confidence interval
Method of variance estimates recovery
JEL: 
C12
C15
Document Type: 
Working Paper

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