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Econometric issues in the analysis of contagion
Pesaran, M. Hashem; Pick, Andreas - 2004
This paper presents a canonical, econometric model of contagion and investigates the conditions under which contagion … the solution is not unique, and for sufficiently large values of the contagion coefficients it has interesting bifurcation … contagion effects in the presence of inter-dependencies the equations for the individual markets or countries must contain …
Persistent link: https://www.econbiz.de/10011402451
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A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices
Bailey, Natalia; Pesaran, M. Hashem; Smith, L. Vanessa - CESifo - 2014
This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10010877672
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A multiple testing approach to the regularisation of large sample correlation matrices
Bailey, Natalia; Pesaran, M. Hashem; Smith, L. Vanessa - 2015
This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the multiple testing (MT) literature. The approach tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10011460771
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A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices
Bailey, Natalia; Pesaran, M. Hashem; Smith, L. Vanessa - 2014
This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10010398521
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A multiple testing approach to the regularisation of large sample correlation matrices
Bailey, Natalia; Pesaran, M. Hashem; Smith, L. Vanessa - 2015
This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the multiple testing (MT) literature. The approach tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10011405221
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A multiple testing approach to the regularisation of large sample correlation matrices
Bailey, Natalia; Pesaran, M. Hashem; Smith, L. Vanessa - 2014
This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10010361374
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A Multiple Testing Approach to the Regularisation of Large Sample Correlation Markets
Bailey, Natalia - 2014
This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10013051612
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A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices
Bailey, Natalia - 2014
This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...
Persistent link: https://www.econbiz.de/10013053343
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A residual-based threshold method for detection of units that are too big to fail in large factor models
Kapetanios, George; Pesaran, M. Hashem; Reese, Simon - 2018
The importance of units with pervasive impacts on a large number of other units in a network has become increasingly recognized in the literature. In this paper we propose a new method to detect such influential or dominant units by basing our analysis on unit-specific residual error variances...
Persistent link: https://www.econbiz.de/10011942707
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A Two Stage Approach to Spatiotemporal Analysis with Strong and Weak Cross-Sectional Dependence
Bailey, Natalia; Holly, Sean; Pesaran, M. Hashem - CESifo - 2014
An understanding of the spatial dimension of economic and social activity requires methods that can separate out the relationship between spatial units that is due to the effect of common factors from that which is purely spatial even in an abstract sense. The same applies to the empirical...
Persistent link: https://www.econbiz.de/10010736752