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estimation strategies available for the Bayesian inference of GARCH-type models. The emphasis is put on a novel efficient …-nested GARCH-type models are estimated and combined to predict the distribution of next-day ahead log-returns. …
Persistent link: https://www.econbiz.de/10011255484
returns with GARCH($1,1$) innovations, and predicts a relation between the ARCH and GARCH coefficients. Heterogeneity in … predicted sign of the MA coefficient and the relation between the ARCH and GARCH coefficients for exchange rate data. …
Persistent link: https://www.econbiz.de/10005144520
Volatility (SV) and Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models which are both extended to include … outperforms the GARCH model. …
Persistent link: https://www.econbiz.de/10005136957
methods. The effects of several model characteristics (unit roots, GARCH, stochastic volatility, heavy tailed disturbance …
Persistent link: https://www.econbiz.de/10005137067
Carlo methods. The effects of several model characteristics (unit roots, GARCH, stochastic volatility, heavy tailed …
Persistent link: https://www.econbiz.de/10005137117
parsimony and robustness. APS is applied within a Bayesian analysis of a GARCH-mixture model which is used for the evaluation of …
Persistent link: https://www.econbiz.de/10005137171
It is generally believed that for the power of unit root tests, only the time span and not the observation frequency matters. In this paper we show that the observation frequency does matter when the high-frequency data display fat tails and volatility clustering, as is typically the case for...
Persistent link: https://www.econbiz.de/10005137272
This paper proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH … empirical application to S&P index log-returns. Several non-nested GARCH-type models are estimated and combined to predict the …
Persistent link: https://www.econbiz.de/10008838590
parsimonious and effective GARCH(1,1) model with Student-<I>t</I> innovations. The estimation procedure is fully automatic and thus …
Persistent link: https://www.econbiz.de/10008838647
In this paper we present an exact maximum likelihood treatment for the estimation of a Stochastic Volatility in Mean (SVM) model based on Monte Carlo simulation methods. The SVM model incorporates the unobserved volatility as an explanatory variable in the mean equation. The same extension is...
Persistent link: https://www.econbiz.de/10005281817