Showing 1 - 10 of 25
This paper sheds new light on the mixture of distribution hypothesis by means of a study of the exchange rate volatility of the Norwegian krone. First, we find that the impact of changes in the number of information events on exchange rate volatility is statistically significant, and recursive...
Persistent link: https://www.econbiz.de/10012717736
This paper sheds new light on the mixture of distribution hypothesis by means of a study of the exchange rate volatility of the Norwegian krone. First, we find that the impact of changes in the number of information events on exchange rate volatility is statistically significant, and recursive...
Persistent link: https://www.econbiz.de/10012761739
An EGARCH model in which the conditional distribution is heavy-tailed and skewed is proposed. The properties of the model, including unconditional moments, autocorrelations and the asymptotic distribution of the maximum likelihood estimator, are obtained. Evidence for skewness in conditional...
Persistent link: https://www.econbiz.de/10010699818
A critique that has been directed towards the log-GARCH model is that its log-volatility specification does not exist in the presence of zero returns. A common ``remedy" is to replace the zeros with a small (in the absolute sense) non-zero value. However, this renders Quasi Maximum Likelihood...
Persistent link: https://www.econbiz.de/10011109685
Estimation of log-GARCH models via the ARMA representation is attractive because it enables a vast amount of already established results in the ARMA literature. We propose an exponential Chi-squared QMLE for log-GARCH models via the ARMA representation. The advantage of the estimator is that it...
Persistent link: https://www.econbiz.de/10011112442
Exponential models of Autoregressive Conditional Heteroscedasticity (ARCH) enable richer dynamics (e.g. contrarian or cyclical), provide greater robustness to jumps and outliers, and guarantee the positivity of volatility. The latter is not guaranteed in ordinary ARCH models, in particular when...
Persistent link: https://www.econbiz.de/10011185384
An EGARCH model in which the conditional distribution is heavy-tailed and skewed is proposed. The properties of the model, including unconditional moments, autocorrelations and the asymptotic distribution of the maximum likelihood estimator, are set out. Evidence for skewness in a conditional...
Persistent link: https://www.econbiz.de/10010776998
A critique that has been directed towards the log-GARCH model is that its logvolatility specification does not exist in the presence of zero returns. A common "remedy" is to replace the zeros with a small (in the absolute sense) non-zero value. However, this renders Quasi Maximum Likelihood...
Persistent link: https://www.econbiz.de/10010861823
Persistent link: https://www.econbiz.de/10010926630
Persistent link: https://www.econbiz.de/10006231900