The size and power of the ECM cointegration test are investigated by using the 'bootstrap critical values.' The purpose of this paper is to show the ability of the bootstrap technique to produce critical values which are much more accurate than the asymptotic ones. The properties of the test...

In this paper, we introduce a set of critical values for unit root tests that are robust in the presence of conditional heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) in Politis (2007) and examine their properties using Monte Carlo methods. In...

Monte Carlo methods are used to study the size and the power of three versions of the Jarque and Bera Lagrangian multiplier test for normality, JB(g<SUB align="right"><SMALL>1</SMALL></SUB>, g<SUB align="right"><SMALL>2</SMALL></SUB>), JB(b<SUB align="right"><SMALL>1</SMALL></SUB>, b<SUB align="right"><SMALL>2</SMALL></SUB>) and, finally, JB(k<SUB align="right"><SMALL>1</SMALL></SUB>, k<SUB align="right"><SMALL>2</SMALL></SUB>). The difference between these tests comes from the different definitions (estimates) of sample skewness...</small></sub></small></sub></small></sub></small></sub></small></sub></small></sub>

Monte Carlo methods are used to study the size and the power of three versions of the Jarque and Bera LM test for normality, JB( 1 2 g , g ), JB( 1 2 b ,b ), and finally JB( 1 2 k ,k ). The difference between these tests comes from the different definitions (estimates) of sample skewness and...

We introduce the “sample” technique to generate robust critical values for the Jarque and Bera (JB) Lagrangian Multiplier (LM) test for normality, JBCV( 1 2 k ,k ), by using improved critical values the true size of the test approaches its nominal value. Monte Carlo methods are used to study...

This paper investigates the effect of spillover (i.e., causality in variance) on the Johansen tests for cointegration by conducting a Monte Carlo experiment where 16 different data generating processes (DGP) are used and a number of factors that might affect the properties of the Johansen...

This paper examines the problem of order selection in connection to the forecasting performance for vector autoregressive (VAR) processes. For this purpose we present a generalisation of the modified divergence information criterion (MDIC) for VAR models and compare it with traditional...