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Common factors in conditional distributions for Bivariate time series

Granger, Clive W. J., Terasvirta, Timo and Patton, Andrew J. (2003) Common factors in conditional distributions for Bivariate time series. Discussion paper, 455. Financial Markets Group, London School of Economics and Political Science, London, UK.

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Abstract

A definition for a common factor for bivariate time series is suggested by considering the decomposition of the conditional density into the product of the marginals and the copula, with the conditioning variable being a common factor if it does not directly enter the copula. The links of this definition with a common factor being a dominant feature in standard linear representations is shown. An application using a business cycle indicator as the common factor in the relationship between U.S. income and consumption found that both series held the factor in their marginals but not in the copula.

Item Type: Monograph (Discussion Paper)
Official URL: http://fmg.lse.ac.uk
Additional Information: © 2003 The Authors
Library of Congress subject classification: H Social Sciences > HG Finance
H Social Sciences > HB Economic Theory
Journal of Economic Literature Classification System: C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C32 - Time-Series Models
Sets: Research centres and groups > Financial Markets Group (FMG)
Collections > Economists Online
Collections > LSE Financial Markets Group (FMG) Working Papers
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Identification Number: 455
Date Deposited: 28 Aug 2009 09:13
URL: http://eprints.lse.ac.uk/24854/

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