Fractional cointegration is viewed from a semiparametric viewpoint as a narrow-band phenomenon at frequency zero. Recent semiparametric methods of inference on memory parameters are developed to explore the possibility of fractional cointegration by means of testing the memory of observables and also new tests for the presence of fractional cointegration. These, along with narrow band estimates...

Purpose of this paper is twofold. It is first to offer a rough overview on the field of threshold cointegration, from the seminal paper of Balke and Fomby (1997) to the recent developments. Simultaneously, it is to describe the implementation of the main functionalities for the modeling in the open-source package tsDyn. It provides hence a unique way to get an introduction on the threshold coin...

This paper proposes new iterative reduced-rank regression procedures for seasonal cointegration analysis. The suggested methods are motivated by the idea that modelling jointly the cointegration restrictions at the different frequencies may induce some efficiency gain in finite samples. Monte Carlo simulations indicate that the new tests and estimators perform well with respect to already exist...

This paper offers a detailed assessment of the Balassa-Samuelson (BS) effect in eight Central and Eastern European countries (CEEC8). Several features distinguish this study from others: First, we investigate a variety of specifications of extended models. Nonhomogeneity of wages, deviations from PPP in tradables and demand side variables are found to importantly contribute to explain inflation...

In this study, we assess the dynamic evolution of short-term correlation, long-term cointegration and Error Correction Model (hereafter referred to as ECM)-based long-term Granger causality between each pair of US, UK, and Eurozone stock markets from 1980 to 2015 using the rolling-window technique. A comparative analysis of pairwise dynamic integration and causality of stock markets, measured i...

The likelihood ratio test of cointegration rank is the most widely used test for cointegration. Many studies have shown by simulation that the small sample distribution is not well approximated by the limiting distribution. We suggest using the bootstrap to generate small sample critical values instead of correcting the test statistics. The idea of bootstrapping the trace test of cointegration ...

We propose a new transaction-level bivariate log-price model, which yields fractional or standard cointegration. To the best of our knowledge, all existing models for cointegration require the choice of a fixed sampling interval ∆t. By contrast, our proposed model is constructed at the transaction level, thus determining the properties of returns at all sampling frequencies. The two ingredients...

In this paper, cointegration relationships among 26 global stock market indices over the periods of sub-prime and European debt crisis and their influence rank are investigated by constructing and analyzing directed and weighted cointegration networks. The obtained results are shown as follows: the crises have changed cointegration relationships among stock market indices, their cointegration r...

The distribution of a functional of two correlated vector Brownian motions is approximated by a Gamma distribution. This functional represents the limiting distribution for cointegration tests with stationary exogenous regressors, but also for cointegration tests based on a non-Gaussian likelihood. The approximation is accurate, fast, and easy to use in comparison to both tabulated critical val...

This paper studies the effects of increasing the frequency of observation and the data span on the Johansen cointegration tests. The ability of the tests to detect cointegration depends more on the total sample length than the number of observations.  2000 Elsevier Science S.A. All rights reserved.