This study investigates the impact of the expected and unexpected trading behavior of foreign investors on return volatilities during structural change periods. And the jump intensity model pinpoints crucial events that have influenced the stock market. The empirical results find that there has...

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...

This study extends the GARCH with autoregressive conditional jump intensity in Generalized Error Distribution (GARJI-GED) model to identify the fundamental characteristics of Nikkei 225 index and futures. Furthermore, this study applied the Granger causality test to investigate whether an...