Showing 1 - 10 of 10
identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study …. The bootstrap methods considered are a wild bootstrap, a moving blocks bootstrap and a GARCH residual based bootstrap …. Estimation is done by Gaussian maximum likelihood, a simplified procedure based on univariate GARCH estimations and a method that …
Persistent link: https://www.econbiz.de/10012041300
Persistent link: https://www.econbiz.de/10012131020
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010509631
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010501257
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of di erent models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010503909
modelled by a multivariate GARCH process. Formal statistical tests are presented for identification and their small sample …
Persistent link: https://www.econbiz.de/10011296801
Persistent link: https://www.econbiz.de/10011709107
generalized autoregressive conditional heteroskedastic (GARCH) innovations. The bootstrap methods considered are a wild bootstrap …, a moving blocks bootstrap and a GARCH residual based bootstrap. Estimation is done by Gaussian maximum likelihood, a … simplified procedure based on univariate GARCH estimations and a method that does not re-estimate the GARCH parameters in each …
Persistent link: https://www.econbiz.de/10011880712
The performance of information criteria and tests for residual heteroskedasticity for choosing between different models for time-varying volatility in the context of structural vector autoregressive analysis is investigated. Although it can be difficult to find the true volatility model with the...
Persistent link: https://www.econbiz.de/10011669909
modelled by a multivariate GARCH process. Formal statistical tests are presented for identification and their small sample …
Persistent link: https://www.econbiz.de/10010488275