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. Although the model seems to generate long-memory properties of the volatility series, we show that this is due to the switching …
Persistent link: https://www.econbiz.de/10005008606
This paper considers the impact of ordinary least squares (OLS) detrending and the first difference (FD) detrending on autocorrelation estimation in the presence of long memory and deterministic trends. We show that the FD detrending results in inconsistent autocorrelation estimates when the...
Persistent link: https://www.econbiz.de/10005043094
We present a novel GARCH model that accounts for time varying, state dependent, persistence in the volatility dynamics …. The proposed model generalizes the component GARCH model of Ding and Granger (1996). The volatility is modelled as a …
Persistent link: https://www.econbiz.de/10005008491
question whether the assumption of stationarity is appropriate to model volatility processes. Early econometric studies have … volatility time series. The approaches that are summarized in this discussion paper propose various specification for this time …
Persistent link: https://www.econbiz.de/10010927702
/Dollar return volatility. We highlight and analyze the pre-announcement, contemporaneous and postannouncement reactions. Using high …-frequency intraday data and within the framework of ARCH-type and realized volatility models, we show that volatility increases in the … volatility as expected by the theoretical literature on order flow. …
Persistent link: https://www.econbiz.de/10005065447
volatility through time. The advocated methodology avoids typical orthogonalization and ordering problems. Theoretical properties … of volatility impulse response functions are derived and compared with conditional moment profiles introduced by Gallant … use volatility impulse response functions to compare alternative parametric volatility specifications. It is shown that …
Persistent link: https://www.econbiz.de/10005043565
We present an algorithm, based on a differential evolution MCMC method, for Bayesian inference in AR-GARCH models subject to an unknown number of structural breaks at unknown dates. Break dates are directly treated as parameters and the number of breaks is determined by the marginal likelihood...
Persistent link: https://www.econbiz.de/10010927663
Dynamic volatility and correlation models with fixed parameters are restrictive for time series subject to breaks …
Persistent link: https://www.econbiz.de/10010927665
substantial improvement over existing prediction methods. An empirical application to the realized volatility of three exchange …
Persistent link: https://www.econbiz.de/10010927723
Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. In order to account for both the skewness and the excess kurtosis in returns, we combine the BEKK model from the multivariate GARCH literature with different...
Persistent link: https://www.econbiz.de/10011246290