Testing for Cointegration When Some of the Contributing Vectors are Known

Testing for Cointegration When Some of the Contributing Vectors are Known PDF Author: Mark W. Watson
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Many economic models imply that ratios, simple differences, or spreads' of variables are I(0). In these models, cointegrating vectors are composed of 1's, 0's and -1's, and contain no unknown parameters. In this paper we develop tests for cointegration that can be applied when some of the cointegrating vectors are known under the null or under the alternative hypotheses. These tests are constructed in a vector error correction model (VECM) and are motivated as Wald tests in the version of this Gaussian model. When all of the cointegrating vectors are known under the alternative, the tests correspond to the standard Wald tests for the inclusion of error correction terms in the VAR. Modifications of this basic test are developed when a subset of the cointegrating vectors contains unknown parameters. The asymptotic null distribution of the statistics are derived, critical values are determined, and the local power properties of the test are studied. Finally, the test is applied to data on foreign exchange future and spot prices to test the stability of forward-spot premium

Testing for Cointegration When Some of the Contributing Vectors are Known

Testing for Cointegration When Some of the Contributing Vectors are Known PDF Author: Mark W. Watson
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Many economic models imply that ratios, simple differences, or spreads' of variables are I(0). In these models, cointegrating vectors are composed of 1's, 0's and -1's, and contain no unknown parameters. In this paper we develop tests for cointegration that can be applied when some of the cointegrating vectors are known under the null or under the alternative hypotheses. These tests are constructed in a vector error correction model (VECM) and are motivated as Wald tests in the version of this Gaussian model. When all of the cointegrating vectors are known under the alternative, the tests correspond to the standard Wald tests for the inclusion of error correction terms in the VAR. Modifications of this basic test are developed when a subset of the cointegrating vectors contains unknown parameters. The asymptotic null distribution of the statistics are derived, critical values are determined, and the local power properties of the test are studied. Finally, the test is applied to data on foreign exchange future and spot prices to test the stability of forward-spot premium

TESTING FOR CINTEGRATION WHEN SOME OF THE COINTEGRATING VECTORS ARE KNOWN

TESTING FOR CINTEGRATION WHEN SOME OF THE COINTEGRATING VECTORS ARE KNOWN PDF Author: Michael T.K. HORVATH
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Testing for Cointegration when Some of the Cointegrating Vectors are Known

Testing for Cointegration when Some of the Cointegrating Vectors are Known PDF Author: Michael T. K. Horvath
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 56

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Testing for Cointegration Using the Johansen Methodology when Variables are Near-Integrated

Testing for Cointegration Using the Johansen Methodology when Variables are Near-Integrated PDF Author: Erik Hjalmarsson
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 28

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Book Description
We investigate the properties of Johansen's (1988, 1991) maximum eigenvalue and trace tests for cointegration under the empirically relevant situation of near-integrated variables. Using Monte Carlo techniques, we show that in a system with near-integrated variables, the probability of reaching an erroneous conclusion regarding the cointegrating rank of the system is generally substantially higher than the nominal size. The risk of concluding that completely unrelated series are cointegrated is therefore non-negligible. The spurious rejection rate can be reduced by performing additional tests of restrictions on the cointegrating vector(s), although it is still substantially larger than the nominal size.

On Some Simple Tests for Cointegration

On Some Simple Tests for Cointegration PDF Author: Anindya Banerjee
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 56

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Unit Roots, Cointegration, and Structural Change

Unit Roots, Cointegration, and Structural Change PDF Author: G. S. Maddala
Publisher: Cambridge University Press
ISBN: 9780521587822
Category : Business & Economics
Languages : en
Pages : 528

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Book Description
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.

An Introduction to Bartlett Correction and Bias Reduction

An Introduction to Bartlett Correction and Bias Reduction PDF Author: Gauss M. Cordeiro
Publisher: Springer Science & Business Media
ISBN: 3642552552
Category : Mathematics
Languages : en
Pages : 113

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Book Description
This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique and discuss concrete applications to several important statistical models.

The Power of Cointegration Tests

The Power of Cointegration Tests PDF Author: Jeroen J. M. Kremers
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 44

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Optimal Power for Testing Potential Cointegrating Vectors with Known

Optimal Power for Testing Potential Cointegrating Vectors with Known PDF Author: Michael Jansson
Publisher:
ISBN:
Category :
Languages : en
Pages : 51

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Contributions to Modern Econometrics

Contributions to Modern Econometrics PDF Author: Ingo Klein
Publisher: Springer Science & Business Media
ISBN: 1475736029
Category : Business & Economics
Languages : en
Pages : 285

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Book Description
The field of econometrics has gone through remarkable changes during the last thirty-five years. Widening its earlier focus on testing macroeconomic theories, it has become a rather comprehensive discipline concemed with the development of statistical methods and their application to the whole spectrum of economic data. This development becomes apparent when looking at the biography of an econometrician whose illustrious research and teaching career started about thirty-five years ago and who will retire very soon after his 65th birthday. This is Gerd Hansen, professor of econometrics at the Christian Albrechts University at Kiel and to whom this volume with contributions from colleagues and students has been dedicated. He has shaped the econometric landscape in and beyond Germany throughout these thirty-five years. At the end of the 1960s he developed one of the first econometric models for the German econ omy which adhered c10sely to the traditions put forth by the Cowles commission.