In this paper we study various methods for detecting the co integrating rank as the number of variables gets large. We show that the use of standard tools will always lead to misleading inferences in such settings due to excessive size distortions. Particularly the LR test tends to produce too...

We derive the parameter restrictions that a standard equity market model implies for a bivariate vector autoregression for stock prices and dividends, and we show how to test these restrictions using likelihood ratio tests.  The restrictions, which imply that stock returns are unpredictable,...

We compare testing strategies for Granger noncausality in vector autoregressions (VARs) that may or may not have unit roots and cointegration. Sequential testing methods are examined; these test for cointegration and use either a differenced VAR or a vector error correction model (VECM), in which...

This study attempts to investigate the financial market contagion in a global perspective. We use a large sample of 26 countries representing different regions in the world and focus on the spillover effects of the 1998 Russian crisis. We use daily observations on three financial market...

This paper studies the long-run relationship between consumption, labour income and asset wealth in Poland. Within cointegrated VAR model dynamic responses of the variables in the system to shocks are studied. In addition series are decomposed into permanent and transitory components. Main...

The Fisherian hypothesis was tested for four regional agricultural interest rates in the 11th Federal Reserve District (Dallas). These interest rates represented agricultural loans of different terms to maturity. Shocks in expected inflation resulted in positive but less than equivalent...

This paper investigates the interdependence of stock returns with some other financial variables applied to several European Telecommunications institutions. In particular, using a multivariate vector autoregressive (VAR) approach this study examines the relation, the direction of the relation,...

Conventional structural vector autoregressive (SVAR) models with Gaussian errors are not identified, and additional identifying restrictions are typically imposed in applied work. We show that the Gaussian case is an exception in that a SVAR model whose error vector consists of independent...

In this paper an overview of methods for the analysis of structural VAR models is provided. The fundamental properties of SVAR models, the estimated parameters, as well as various methods of identifying shocks and principles of constructing confidence intervals for impulse responses are...

This paper investigates which shocks drive asynchrony of business cycles in the euro area. Thereby, it unites two strands of literature, those on common features and on structural VAR analysis. In particular, we show that the presence of a common cycle implies collinearity of structural impulse...