This paper uses a multivariate response surface methodology to analyze the size distortion of the BDS test when applied to standardized residuals of rst-order GARCH processes. The results show that the asymptotic standard normal distribution is an unreliable approximation, even in large samples. On the other hand, a simple log-transformation of the squared standardized residuals seems to correct most of the size problems. Nonethe-less, the estimated response surfaces can provide not only a measure of the size distortion, but also more adequate critical values for the BDS test in small samples
According to previous research, standard unit root tests are considered robust to stationary GARCH d...
The properties of the Granger-causality test in stationary and stable Vector Autoregressive (VAR) mo...
This article studies the asymptotic distribution of five residuals-based tests for the null of no-co...
In this study we examine the widely used Brock, Dechert, and Scheinkman (BDS) test when applied to t...
In this study we examine the widely used Brock, Dechert, and Scheinkman (BDS) test when applied to t...
This paper considers the effect of using a GARCH filter on the properties of the BDS test statistic ...
In this study we examine the widely used Brock, Dechert and Scheinkman (BDS) test when applied to th...
In this study we examine the widely used Brock, Dechert and Scheinkman (BDS) test when applied to t...
This paper derives the asymptotic distribution for a number of rank-based and classical residual spe...
The research of Kim and Schmidt (J. Economet., 1993, 59, 287-300) is extended to examine the propert...
This paper develops tests for the correct specification of the conditional variance function in GARC...
Using Monte Carlo methods, the properties of Granger causality test in stable VAR models are studied...
As a remarkable advantage, panel unit root testing statistics present Gaussian distribu-tion in the ...
What s the asymptotic null distribution of a rank-based serial autocorrelation test applied to resid...
*<p><i>P</i><0.001,</p>**<p><i>P</i> = 0.001.</p><p>In all cases, the BDS test was significantly ide...
According to previous research, standard unit root tests are considered robust to stationary GARCH d...
The properties of the Granger-causality test in stationary and stable Vector Autoregressive (VAR) mo...
This article studies the asymptotic distribution of five residuals-based tests for the null of no-co...
In this study we examine the widely used Brock, Dechert, and Scheinkman (BDS) test when applied to t...
In this study we examine the widely used Brock, Dechert, and Scheinkman (BDS) test when applied to t...
This paper considers the effect of using a GARCH filter on the properties of the BDS test statistic ...
In this study we examine the widely used Brock, Dechert and Scheinkman (BDS) test when applied to th...
In this study we examine the widely used Brock, Dechert and Scheinkman (BDS) test when applied to t...
This paper derives the asymptotic distribution for a number of rank-based and classical residual spe...
The research of Kim and Schmidt (J. Economet., 1993, 59, 287-300) is extended to examine the propert...
This paper develops tests for the correct specification of the conditional variance function in GARC...
Using Monte Carlo methods, the properties of Granger causality test in stable VAR models are studied...
As a remarkable advantage, panel unit root testing statistics present Gaussian distribu-tion in the ...
What s the asymptotic null distribution of a rank-based serial autocorrelation test applied to resid...
*<p><i>P</i><0.001,</p>**<p><i>P</i> = 0.001.</p><p>In all cases, the BDS test was significantly ide...
According to previous research, standard unit root tests are considered robust to stationary GARCH d...
The properties of the Granger-causality test in stationary and stable Vector Autoregressive (VAR) mo...
This article studies the asymptotic distribution of five residuals-based tests for the null of no-co...