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 …

. Announcements of both institutes are also clearly and immediately reflected in the volatility, which remains at a significantly … higher level for approximately two minutes slightly elevated for approximately 15 minutes. Combining returns and volatility … in a GARCH(1,1)-model, the paper reveals that significant increases in volatility only show up in the presence of …

of long-term stock market volatility. When long-term volatility is high, stock returns are more sensitive to news, and …-linear present value framework with a two-component volatility model for the conditional variance of cash flow news and allowing for … volatility feedback. In our model, innovations to the long-term volatility component are the most important driver of discount …

This paper analyzes the relationship between assets return, volatility and the centrality indicators of a corporate … independence among several measures of centrality, return and volatility. We found that the average eigenvector centrality of the … corporate news networks at different points of time has an impact on return and volatility of the STOXX 50 index. Likewise …