The interaction between asymmetrically informed traders has been mostly investigated in theoretical frameworks. Not only there are relatively few empirical studies but, if any, the mostly focus on cross-sectional analysis and use very short samples. In this study, we blend theoretic with...

This study uses the multinomial logit model in which comovements are categorized into three outcomes, namely (i) negative comovements, (ii) positive comovements and (iii) no comovements, with the purpose of the empirical analysis being to investigate the economic determinants that affect the...

This article employs a bivariate poisson jump model to investigate the relationship between the volatility of crude oil and gasoline especially during the period of the Gulf War. We find that greater jumps occurring in crude oil returns will appear in gasoline returns at the same time, but the...

This article employs jump-diffusion models, including the ARJI model and the GARCH-jump model, to examine jump intensity and volatility of Taiwan stock and foreign exchange markets during a Presidential election period. The empirical results indicate that, firstly, the ARJI model fits data...

This study utilizes a Smooth Transition Vector Error Correction Model (STVECM) with Glosten-Jagannathan-Runkle-Generalized Autoregressive Conditional Heteroscedasticity (GJR-GARCH) and spillover volatility to investigate the changes in short-run return dynamics when a deviation from the...

Although investors are concerned foremost with mean and variance, they are also sensitive to downside risk. In this article we employ several risk variables of traditional and downside risk measures to evaluate the equity returns in the New York Stock Exchange (NYSE) market in order to test...