The large-sample distribution of the multivariate residual autocorrelations in the vector ARMA model is derived. This result is somewhat less complicated for the vector autoregressive model. A new multivariate portmanteau test for checking the adequacy of fitted vector ARMA models is developed. A simulation study shows that a simple modification of the portmanteau test improves its accuracy in small samples.link_to_subscribed_fulltex
We consider tests for lack of fit in ARMA models with non independent innovations. In this framework...
International audienceThe problem of test of fit for Vector AutoRegressive (VAR) processes with unco...
In this paper we consider portmanteau tests for testing the adequacy of multiplicative seasonal auto...
The asymptotic distribution of residual autocorrelations in multivariate autoregressive index models...
This paper investigates the joint limiting distribution of the residual autocorrelation functions an...
We consider tests for lack of fit in ARMA models with nonindependent innovations. In this framework,...
In applied time series analysis, checking for autocorrelation in a fitted model is a routine diagnos...
Squared-residual autocorrelations have been found useful in detecting nonlinear types of statistical...
In applied time series analysis, checking for autocorrelation in a fitted model is a routine diagnos...
This paper first derives the limiting distributions of the residual and the squared residual autocor...
This paper first derives the limiting distributions of the residual and the squared residual autocor...
The ARMA-GARCH model has been commonly used in economics and finance. The portmanteau test based on ...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
We consider tests for lack of fit in ARMA models with non independent innovations. In this framework...
International audienceThe problem of test of fit for Vector AutoRegressive (VAR) processes with unco...
In this paper we consider portmanteau tests for testing the adequacy of multiplicative seasonal auto...
The asymptotic distribution of residual autocorrelations in multivariate autoregressive index models...
This paper investigates the joint limiting distribution of the residual autocorrelation functions an...
We consider tests for lack of fit in ARMA models with nonindependent innovations. In this framework,...
In applied time series analysis, checking for autocorrelation in a fitted model is a routine diagnos...
Squared-residual autocorrelations have been found useful in detecting nonlinear types of statistical...
In applied time series analysis, checking for autocorrelation in a fitted model is a routine diagnos...
This paper first derives the limiting distributions of the residual and the squared residual autocor...
This paper first derives the limiting distributions of the residual and the squared residual autocor...
The ARMA-GARCH model has been commonly used in economics and finance. The portmanteau test based on ...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
This paper generalizes the distribution of residual autocovariance matrices in VARMA(p,q) models obt...
We consider tests for lack of fit in ARMA models with non independent innovations. In this framework...
International audienceThe problem of test of fit for Vector AutoRegressive (VAR) processes with unco...
In this paper we consider portmanteau tests for testing the adequacy of multiplicative seasonal auto...