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Correlation Analysis of Financial Contagion: What One Should Know Before Running a Test Author info | Abstract | Publisher info | Download info | Related research | Statistics Giancarlo Corsetti
Marcello Pericoli
Massimo Sbracia
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This paper builds a general test of contagion in financial markets based on bivariate correlation analysis - a test that can be interpreted as an extension of the normal correlation theorem. Contagion is defined as a structural break in the data generating process of rates of return. Using a factor model of returns as theoretical framework, we nest leading contributions in the literature as special cases of our test. We show that, while the literature on correlation analysis of contagion is successful in controlling for a potential bias induced by changes in the variance of global shocks, current tests are conditional on a specific yet arbitrary assumption about the variance of country specific shocks. Our results suggest that, for a number of pairs of country stock markets, the hypothesis of 'no contagion' can be rejected only if the variance of country specific shocks is set to levels that are not consistent with the evidence.
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Paper provided by Economic Growth Center, Yale University in its series Working Papers with number
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Length: 54 pages
Date of creation: Apr 2001Date of revision:
Handle: RePEc:egc:wpaper:822Contact details of provider: Postal: PO Box 8269, New Haven CT 06520-8269 Phone: (203) 432-3610 Fax: (203) 432-3898 Web page: http://www.econ.yale.edu/ More information through EDIRC
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Find related papers by JEL classification: F30 - International Economics - - International Finance - - - General C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data) G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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