Chow, et al. (2016) use the theory of ascending stochastic dominance (ASD), descending stochastic dominance (DSD) to develop stochastic dominance (SD) tests for richness and poorness. In this paper, we extend their work by applying Markowitz stochastic dominance (MSD) and prospect stochastic...

The traditional linear Granger causality test has been widely used to examine the linear causality among several time series in bivariate settings as well as multivariate settings. Hiemstra and Jones (1994) develop a nonlinear Granger causality test in a bivariate setting to investigate the...

Davidson and Duclos (DD, 2000) develop the stochastic dominance statistics, T_j(x)(j=1,2,3), to test the hypothesis on statistically significant differences between any two cumulative density functions F and G for assets Y and Z, respectively. The DD test compares distributions at only a finite...