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 difference of EPMs for two independent samples. We also derive the asymptotic distribution for EPM and for the difference 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.

Additional Metadata
Keywords Asymptotic confidence interval, Bootstrap-based confidence interval, Economic performance measure, Method of variance estimates recovery
Persistent URL dx.doi.org/10.1016/j.iref.2017.11.007, hdl.handle.net/1765/105577
Journal International Review of Economics and Finance
Citation
Niu, C. (Cuizhen), Guo, X. (Xu), McAleer, M.J, & Wong, W.-K. (Wing-Keung). (2018). Theory and application of an economic performance measure of risk. International Review of Economics and Finance, 2017. doi:10.1016/j.iref.2017.11.007