Testing for non-stationarity and cointegration allowing for the possibility of a structural break: an application to EuroSterling interest rates [PDF]
Chris Brooks, Alistair G. Rew
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Temporal and interaction dynamics of dengue cases, entomological and meteorological variables in Melaka, Malaysia: A multivariate time series analysis. [PDF]
Alipitchay S+6 more
europepmc +1 more source
Geopolitical Risk and Energy Markets: Past, Present, and Future
ABSTRACT Due to the most recent geopolitical events, such as the Russia–Ukraine conflict and the war between Israel and Hamas, geopolitical risk (GPR) and energy markets have been at the forefront of the academic debate. To identify the evolution of the literature inherent to GPR and energy markets, we conduct a meta‐literature review—that is ...
Laura Chiaramonte+3 more
wiley +1 more source
A Direct Test for Cointegration Between a Pair of Time Series [PDF]
Stephen J. Leybourne+3 more
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Research on dynamic measurement and coupling coordination of traditional industrial transformation under the background of zero waste cities in China. [PDF]
Li X, Tang Y, Zhong R.
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A note on Johansen's rank conditions and the Jordan form of a matrix
This note presents insights on the Jordan structure of a matrix which are derived from an extension of the I(1) and I(2) conditions in Johansen (1996). It is first observed that these conditions not only characterize, as it is well known, the size (1 or 2) of the largest Jordan block in the Jordan form of the companion matrix but more generally the ...
Massimo Franchi
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Cointegration Testing Under Structural Breaks: A Robust Extended Error Correction Model
Miguel A. Arranz, Álvaro Escribano
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An I(2) Cointegration Analysis of Price and Quantity Formation in Danish Manufactured Exports [PDF]
Heino Bohn Nielsen
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Accessing the role of tourism, renewable energy, and green finance in shaping the sustainable future. [PDF]
Cai X, Aljofan A.
europepmc +1 more source
Cointegrating Polynomial Regressions With Power Law Trends
ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley +1 more source