Showing 1 - 10 of 21,384
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011823308
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …
Persistent link: https://www.econbiz.de/10014382180
Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...
Persistent link: https://www.econbiz.de/10010499593
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 …
Persistent link: https://www.econbiz.de/10003947458
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 …
Persistent link: https://www.econbiz.de/10008937568
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 …
Persistent link: https://www.econbiz.de/10003952800
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 …
Persistent link: https://www.econbiz.de/10013113491
This paper uncovers the dynamics of the asymmetric volatility spillovers across three majorcryptocurrencies (Bitcoin … 2018 to 5th June 2021, the main findings are summarized as follows:Firstly, negative (bad) volatility spillovers are more … pronounced than positive (good)spillovers, revealing the presence of asymmetric volatility effects in the cryptocurrency market …
Persistent link: https://www.econbiz.de/10013313936
volatility estimation in terms of volatility jumps being examined and modeled for the international equity market, using such a … properties of jumps. These volatility-estimation and jump properties are also evident in jump modeling based on statistical and …Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six …
Persistent link: https://www.econbiz.de/10013029279