reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- efficient return ; macroeconomic announcements ; microstructure noise ; informational volatility …

reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- Efficient Return ; Macroeconomic Announcements ; Microstructure Noise ; Informational Volatility …

reflect information-driven and noise-induced volatilities.We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- effcient return ; macroeconomic announcements ; microstructure noise ; informational volatility …

reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow …

. 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 …

) lowers (raises) returns and raises volatility in the majority of cases. On the other hand, ECB news generally increases bank … stock volatility in the U.S. but has little impact within its own domestic banking industry. Whilst our results for the U …

volatility variable, when included into the training sample, boosts the predictive power of the model significantly. -- CART …