volatility. The research also examines the impact of powerful foreign capital markets on the Greek Stock Exchange market, the … seasonality returns (Day-of-the-Week effect) and the volatility structure. Design/methodology/approach - The analysis of data is …-GARCH model demonstrate that the debt crisis and, therefore, its consequences increase the FTSE / ASE 20 index volatility and the …

aggregate U.S. stock market on: 1) the volatility predictions of asymmetric time series models, 2) implied volatility, and 3 …) realized volatility. Both asymmetric time series models and implied volatility predict an increase in volatility following … large negative surprise returns and ex post realized volatility normally rises as predicted. However, while asymmetric time …

study we investigate the mean-volatility spillover effects that happen across international stock markets. The study, by … taking into consideration the stock market returns based on various indices, investigates the mean-volatility spillover … precise and separate measures of return spillovers and volatility spillovers. The analysis provides the evidence of strong …

studyanalyzes the stock market volatility in three distinct regimes (accumulation or distri-bution - regime 1; big-move - regime 2 …

volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

the behaviour of returns and their volatility during both the calm as well as various crises/turmoil periods. Besides the …-GJR-GARCH) were estimated in order to examine the volatility switches of the Central European transition stock markets. The t …-distribution of error terms was used to capture the dynamics of analysed returns more precisely. The results proved high volatility …