This paper analyses the volatility dynamics of the UK business cycle by proposing four new multivariate asymmetric GARCH models that not only capture asymmetric volatility but also time-varying correlations. The results indicate the existence of asymmetric volatility, but it is sensitive to the structure of the conditional variance. It is also found that correlations and volatility are usually higher around the recession phase of the UK economy. These have important implications for macroeconomic policy and forecasting for business cycle
Volatility in financial markets has both low and high–frequency components which determine its dynam...
Existing multivariate GARCH models either impose strong restrictions on the parameters or do not gua...
We propose two competing classes of multivariate (tetravariate) fractionally integrated GARCH models...
This paper analyses the volatility dynamics of the UK business cycle by proposing four new multivari...
This paper analyses the volatility dynamics of the UK business cycle by proposing four new multivari...
Most empirical investigations of the business cycles in the United States have excluded the dimensio...
Most empirical investigations of the business cycles in the United States have excluded the dimensio...
There are many studies on the business cycle indicators in the past decades, but mostly focusing on ...
There are many studies on the business cycle indicators in the past decades, but mostly focusing on ...
Most studies on the asymmetric and non-linear properties of US business cycles exclude the dimension...
This paper focuses on the general determinants of autocorrelation and the relationship between autoc...
This paper focuses on the general determinants of autocorrelation and the relationship between autoc...
Abstract: The univariate Generalised Autoregressive Conditional Heterscedasticity (GARCH) model has ...
The class of Multivariate BiLinear GARCH (MBL-GARCH) models is proposed and its statistical propert...
Most of the stylized features of volatility dynamics of equity returns are drawn from the aggregate ...
Volatility in financial markets has both low and high–frequency components which determine its dynam...
Existing multivariate GARCH models either impose strong restrictions on the parameters or do not gua...
We propose two competing classes of multivariate (tetravariate) fractionally integrated GARCH models...
This paper analyses the volatility dynamics of the UK business cycle by proposing four new multivari...
This paper analyses the volatility dynamics of the UK business cycle by proposing four new multivari...
Most empirical investigations of the business cycles in the United States have excluded the dimensio...
Most empirical investigations of the business cycles in the United States have excluded the dimensio...
There are many studies on the business cycle indicators in the past decades, but mostly focusing on ...
There are many studies on the business cycle indicators in the past decades, but mostly focusing on ...
Most studies on the asymmetric and non-linear properties of US business cycles exclude the dimension...
This paper focuses on the general determinants of autocorrelation and the relationship between autoc...
This paper focuses on the general determinants of autocorrelation and the relationship between autoc...
Abstract: The univariate Generalised Autoregressive Conditional Heterscedasticity (GARCH) model has ...
The class of Multivariate BiLinear GARCH (MBL-GARCH) models is proposed and its statistical propert...
Most of the stylized features of volatility dynamics of equity returns are drawn from the aggregate ...
Volatility in financial markets has both low and high–frequency components which determine its dynam...
Existing multivariate GARCH models either impose strong restrictions on the parameters or do not gua...
We propose two competing classes of multivariate (tetravariate) fractionally integrated GARCH models...