capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in … evidence for time-varying volatility in the yield factors. This is mostly true for the level and slope volatility revealing … also the highest persistence. It turns out that the inclusion of stochastic volatility improves the model's goodness …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …

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 …

market capitalization, the increasing volatility of the virtual currencies raise various concerns. One of the major concerns … cryptocurrencies returns. This can be attributed to the presence of asymmetric volatility clusters. This study has significant …

capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in … evidence for time-varying volatility in the yield factors. This is mostly true for the level and slope volatility revealing … also the highest persistence. It turns out that the inclusion of stochastic volatility improves the model's goodness …

performance. Estimation of the model on Canadian-US cross-listed stocks shows that there is significant heterogeneity and …