We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g. Markov switches in regime or structural breaks). An important aspect of our approach is that we allow both the cointegrating vectors and the number of cointegrating relationships to change when the regime changes. We show how Bayesian model averaging or model se...

Cointegration analysis involves the solution of a generalized eigenproblem involving moment matrices and inverted moment matrices. These formulae are unsuitable for actual computations because the condition numbers of the resulting matrices are unnecessarily increased. Our note discusses how to use the structure of the problem to achieve numerically stable computations, based on QR and singular...

The local asymptotic power of many popular non-cointegration tests has recently been shown to depend on a certain nuisance parameter. Depending on the value of that parameter, different tests perform best. This paper suggests combination procedures with the aim of providing meta tests that maintain high power across the range of the nuisance parameter. The local asymptotic power of the new meta...

the paper investigates the effects of interest rates on stock market performance by using monthly time series data for the economy of bangladesh over the period of 1991 to 2012. a wide range of econometric techniques have been employed to analyze the relationship between the interest rate and stock market return. the study reveals a stable and significant long run relationship between the varia...