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To investigate how economies, financial markets or institutions can deal with stress, we nowadays often analyze the effects of shocks conditional on a recession or a bear market. MSVAR models are ideally suited for such analyses because they combine gradual movement with sudden switches. In this...
Persistent link: https://www.econbiz.de/10012621564
impact on electricity price and volatility. In this paper, we employ a mixed-frequency vector autoregression (MF …
Persistent link: https://www.econbiz.de/10015408219
evidence for stochastic intensity and stochastic volatility models based on Ornstein-Uhlenbeck processes. For our empirical …
Persistent link: https://www.econbiz.de/10013005987
relations and cross-dependencies between the individual variables. This confirms economic theory and suggests more parsimonious … specifications of high-dimensional trading processes. It turns out that common shocks affect the return volatility and the trading …
Persistent link: https://www.econbiz.de/10003634717
theory assumes that return shocks can be caused by changes in conditional volatility through a time-varying risk premium. On … leverage effect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and … implied volatility, and find that implied volatilities are essential for assessing the volatility feedback effect. The …
Persistent link: https://www.econbiz.de/10013128856
We propose a new class of conditional heteroskedasticity in the volatility (CH-V) models which allows for time …-varying volatility of volatility in the volatility of asset returns. This class nests a variety of GARCH-type models and the SHARV model … of Ding (2021b). CH-V models can be seen as a special case of the stochastic volatility of volatility model. We then …
Persistent link: https://www.econbiz.de/10013214647
In this paper we develop a general framework to analyze state space models with time-varying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...
Persistent link: https://www.econbiz.de/10012842441
In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...
Persistent link: https://www.econbiz.de/10012156426
In this paper, we used the GARCH (1,1) and GARCH-M (1,1) models to investigate volatility and persistence at daily … persistence of volatility, meaning that the conditional volatility tends to revert faster to the long-term mean than the other … statistically significant and positive (thus confirming the hypothesis that an increase in volatility leads an increase in future …
Persistent link: https://www.econbiz.de/10011964941
This study examines the statistical properties required to model the dynamics of both the returns and volatility series … adequately estimate long-memory dynamics in returns and volatility. The in-sample diagnostic tests as well as out … conditional volatility and strongly support the estimation of dynamic returns that allow for time-varying correlations. A …
Persistent link: https://www.econbiz.de/10013272684