Although econometricians have been using Bollerslev's (1986, Journal of Econometrics 31, 307-327) GARCH(r,s) model for over a decade, the higher order moment structure of the model remains unresolved. The sufficient condition for the existence of the higher order moments of the GARCH(r,s) model was given by Ling (1999a, Journal of Applied Probability 36, 688-705). This paper shows that Ling's condition is also necessary. As an extension, the necessary and sufficient moment conditions are established for Ding, Granger, and Engle's (1993, Journal of Empirical Finance, 1, 83-106) asymmetric power GARCH(r,s) model
In this paper, we compare the statistical properties of some of the most popular GARCH models with l...
The GARCH (p, q) model is a very interesting stochastic process with widespread applications and a c...
Following Hamilton (1989), in this paper, we propose a semimartingale model with con-ditional mean o...
Although econometricians have been using Bollerslev’s (1986) GARCH (r, s) model for over a decade, t...
Die ZBW räumt Ihnen als Nutzerin/Nutzer das unentgeltliche, räumlich unbeschränkte und zeitlich auf ...
In this paper, we compare the statistical properties of some of the most popular GARCH models with ...
Non-linear time series models, especially regime-switching models, have become increasingly popular ...
The adequacy of GARCH models is often analyzed by comparing plug-in and sample kurtosis and autocor...
Past financial crises show the importance of adequate risk measurement techniques which adapt more r...
Consider a class of power transformed and threshold GARCH(p,q) (PTTGRACH(p,q)) model, which is a nat...
It is generally admitted that many financial time series have heavy tailed marginal distributions. W...
For a GJR-GARCH(1, 1) specification with a generic innovation distribution we derive analytic expres...
High frequency data exhibit non-constant variance. This paper models the exhibited fluctuations via ...
Financial data are as a rule asymmetric, although most econometric models are symmetric. This applie...
This article appeared in a journal published by Elsevier. The attached copy is furnished to the auth...
In this paper, we compare the statistical properties of some of the most popular GARCH models with l...
The GARCH (p, q) model is a very interesting stochastic process with widespread applications and a c...
Following Hamilton (1989), in this paper, we propose a semimartingale model with con-ditional mean o...
Although econometricians have been using Bollerslev’s (1986) GARCH (r, s) model for over a decade, t...
Die ZBW räumt Ihnen als Nutzerin/Nutzer das unentgeltliche, räumlich unbeschränkte und zeitlich auf ...
In this paper, we compare the statistical properties of some of the most popular GARCH models with ...
Non-linear time series models, especially regime-switching models, have become increasingly popular ...
The adequacy of GARCH models is often analyzed by comparing plug-in and sample kurtosis and autocor...
Past financial crises show the importance of adequate risk measurement techniques which adapt more r...
Consider a class of power transformed and threshold GARCH(p,q) (PTTGRACH(p,q)) model, which is a nat...
It is generally admitted that many financial time series have heavy tailed marginal distributions. W...
For a GJR-GARCH(1, 1) specification with a generic innovation distribution we derive analytic expres...
High frequency data exhibit non-constant variance. This paper models the exhibited fluctuations via ...
Financial data are as a rule asymmetric, although most econometric models are symmetric. This applie...
This article appeared in a journal published by Elsevier. The attached copy is furnished to the auth...
In this paper, we compare the statistical properties of some of the most popular GARCH models with l...
The GARCH (p, q) model is a very interesting stochastic process with widespread applications and a c...
Following Hamilton (1989), in this paper, we propose a semimartingale model with con-ditional mean o...