A method to select between periodic cointegration and seasonal cointegration

Cointegration for Seasonal Time Series Processes

This paper examines types of cointegration for bivariate seasonal time series, namely seasonal cointegration, periodic cointegration and nonperiodic cointegration. The admissable form(s) for any cointegration is shown to depend crucially on the univariate unit root properties of the series. When both processes are (conventionally) integrated, only nonperiodic cointegration is possible. Periodic...

Cointegration, Fractional Cointegration, and Exchange Rate Dynamics

Multivariate tests due to Johansen (1988, 1991) as implemented by Baillie and Bollerslev (1989a) and Diebold, Gardeazabal, and Yilmaz (1994) reveal mixed evidence on whether a group of exchange rates are cointegrated. Further analysis of the deviations from the cointegrating relationship suggests that it possesses long memory and may possibly be well described as a fractionally integrated proce...

Periodic Cointegration Analysis on the Relationship between the GNP Sectors of the Iran’s Economy

T his paper analyses the relation between GNP sectors of Iran’s economy. The different sectors of the economy directly or indirectly affect each other and can complement or follow each other. Using a number of empirical tests, the paper finds evidence of seasonal or periodic integration in the underlying data. This means that the conventional cointegration tests may not be robust and in re...

Bayesian Approaches to Cointegration

Causality and Cointegration between Consumption and Gdp in 25 Oecd Countries: Limitations of the Cointegration Approach

A critical review of cointegration is presented in this paper, emphasizing some limitations of this approach to testing causal relations in Econometrics. We present an application of cointegration tests to the relation between Private Consumption and Gross Domestic Product in 25 OECD countries, during the period 1960-97, and the results confirm those limitations and the convenience of giving mo...