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Some effects of lagged relationship on the cointegration inferences in small samples
Lietuvos Matematikos Rinkinys, 2004 A Monte Carlo simulation is performed in order to investigate the effects of lagged relationship on the cointegration inference in a single equation. Given a small data sample the standard application of Engle–Granger cointegration testing procedure is
Virmantas Kvedaras
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TIME-VARYING COINTEGRATION [PDF]
Econometric Theory, 2010 In this paper we propose a time-varying vector error correction model in which the cointegrating relationship varies smoothly over time. The Johansen setup is a special case of our model. A likelihood ratio test for time-invariant cointegration is defined and its asymptotic chi-square distribution is derived.
Bierens, H., Martins, L. F.
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Complexity, 2022 According to the definition of nonlinear cointegration, this article studies the small sample nonlinear cointegration test and NECM (Nonlinear Error Correction Model) based on the LS-SVM (Least Squares Support Vector Machine) optimized by PSO (Particle ...
Jungang Du
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UNBALANCED COINTEGRATION [PDF]
Econometric Theory, 2006 Summary: Recently, increasing interest in the issue of fractional cointegration has emerged from theoretical and empirical viewpoints. Here, as opposed to the traditional prescription of unit root observables with weak dependent cointegrating errors, the orders of integration of these series are allowed to take real values, but, as in the traditional ...
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Asymptotic Theory for Cointegration Analysis When the Cointegration Rank Is Deficient
Econometrics, 2019 We consider cointegration tests in the situation where the cointegration rank is deficient. This situation is of interest in finite sample analysis and in relation to recent work on identification robust cointegration inference.
David H. Bernstein, Bent Nielsen
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Does inflation reduce remittance outflows in Saudi Arabia?
Cogent Economics & Finance, 2022 This study examines the potential relationship between inflation and remittance outflows in Saudi Arabia over the period 1971–2019 by applying the autoregressive distributed lag (ARDL) model.
Bashier Al-Abdulrazag, Musa Foudeh
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Residual-based cointegration and non-cointegration tests for cointegrating polynomial regressions
Empirical Economics, 2022 AbstractCointegrating polynomial regressions (CPRs), i.e., regressions that include deterministic terms, integrated processes and powers of integrated processes as explanatory variables and stationary errors, have become prominent in several fields of applications, e.g., in the analysis of environmental Kuznets curves.
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The Interrelation between Stock Prices and the Exchange Rate in Kazakhstan
Экономика: стратегия и практика, 2022 A strong economical link has arisen between stock markets and exchange rates as a consequence of increased capital flows between international financial markets.
G. Zh. Azretbergenova
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Sacrifice rate and labor precariousness in Mexico, 2005Q1-2019Q4
Cuadernos de Economía, 2022 Since 1998, the Mexican economy has clearly presented six disinflationary episodes. We estimate seven Phillips curves, to evaluate the social cost in terms of the sacrifice rate in GDP, unemployment rate and in the Rate of Critical Labor Conditions ...
Eduardo Loría, Raúl Cossio
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SSRN Electronic Journal, 2014 Cointegration analysis is used to estimate the long-run equilibrium relations between several time series. The coefficients of these long-run equilibrium relations are the cointegrating vectors. In this paper, we provide a sparse estimator of the cointegrating vectors.
Wilms, Ines, Croux, Christophe
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