Showing 1 - 10 of 12
Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been … employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which …
Persistent link: https://www.econbiz.de/10010958539
, such as GARCH models, are investigated, to determine if they are more appropriate for predicting future return volatility …
Persistent link: https://www.econbiz.de/10010958558
While much of classical statistical analysis is based on Gaussian distributional assumptions, statistical modeling with the Laplace distribution has gained importance in many applied fields. This phenomenon is rooted in the fact that, like the Gaussian, the Laplace distribution has many...
Persistent link: https://www.econbiz.de/10010958588
) forecasting ability of the normal-GARCH model. Compared to the use of more sophisticated GARCH models, the new method is fast …
Persistent link: https://www.econbiz.de/10010958670
Financial markets embed expectations of central bank policy into asset prices. This paper compares two approaches that extract a probability density of market beliefs. The first is a simulatedmoments estimator for option volatilities described in Mizrach (2002); the second is a new approach...
Persistent link: https://www.econbiz.de/10010958766
-making approach, communication strategy and operational framework of a Central bank. Through a GARCH specification we show that the …
Persistent link: https://www.econbiz.de/10010958782
Using unobservable conditional variance as measure, latentvariable approaches, such as GARCH and stochasticvolatility …
Persistent link: https://www.econbiz.de/10010986437
Using unobservable conditional variance as measure, latent–variable approaches, such as GARCH and stochastic …
Persistent link: https://www.econbiz.de/10005138845
-making approach, communication strategy and operational framework of a Central bank. Through a GARCH specification we show that the …
Persistent link: https://www.econbiz.de/10005138852
While much of classical statistical analysis is based on Gaussian distributional assumptions, statistical modeling with the Laplace distribution has gained importance in many applied fields. This phenomenon is rooted in the fact that, like the Gaussian, the Laplace distribution has many...
Persistent link: https://www.econbiz.de/10004979970