Showing 1 - 10 of 15,983
This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions … to estimate Growth at Risk as introduced in Adrian et al. (2019) seminal paper "Vulnerable Growth". In contrary to their …, I modify the Tempered Particle Filter of Herbst and Schorheide (2019) to account for stochastic volatility and …
Persistent link: https://www.econbiz.de/10013306169
Hamilton (2017) criticises the Hodrick and Prescott (1981, 1997) filter (HP filter) because of three drawbacks (i. spurious cycles, ii. end-of-sample bias, iii. ad hoc assumptions regarding the smoothing parameter) and proposes a regression filter as an alternative. I demonstrate that Hamilton's...
Persistent link: https://www.econbiz.de/10012926973
Hamilton (2018) proposes a regression filter (Hamilton filter) as an alternative to the Hodrick-Prescott filter (HP filter). Using frequency domain analysis, among others, I show that the Hamilton filter improves on the HP filter, because it does not induce spurious cycles and it has a smaller...
Persistent link: https://www.econbiz.de/10012838908
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Persistent link: https://www.econbiz.de/10013278994
The persistent nature of equity volatility is investigated by means of a multi-factor stochastic volatility model with … model a time-varying generalization of the HAR model for the realized volatility series. It emerges that during the recent … stochastic volatility model suggest that the change in the dynamic structure of the realized volatility during the financial …
Persistent link: https://www.econbiz.de/10010402299
We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process … volatility jumps, we design and analyze a nonparametric spectral estimator of the spot volatility process. A simulation study and … important role played by price volatility co-jumps. …
Persistent link: https://www.econbiz.de/10010384595
Cholesky multivariate stochastic volatility model. It establishes that estimated covariance matrices, obtained under … alternative orderings of variables, are systemically different when the data exhibits independent volatility dynamics … individual volatility paths becomes. This paper shows that this property is important for empirical applications as alternative …
Persistent link: https://www.econbiz.de/10012847411
Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … multivariate stochastic volatility model is proposed as a robust alternative …
Persistent link: https://www.econbiz.de/10012826753
Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … multivariate stochastic volatility model is proposed as a robust alternative. …
Persistent link: https://www.econbiz.de/10012424283