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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 () (Università di Roma III, Yale University and CEPR)
Marcello Pericoli () (Banca d'Italia)
Massimo Sbracia () (Banca d'Italia)
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This paper presents 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, our theoretical framework nests leading contributions in the literature as special cases. We show that the tests proposed in the literature are conditional on a specific yet arbitrary assumption about the variance of country specific shocks. Using the Hong Kong stock market crisis in October 1997 as a representative case study, 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 Bank of Italy, Economic Research Department in its series Temi di discussione (Economic working papers) with number
408.
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Date of creation: Jun 2001Date of revision:
Handle: RePEc:bdi:wptemi:td_408_01Contact details of provider: Postal: Via Nazionale, 91 - 00184 Roma Web page: http://www.bancaditalia.it More information through EDIRC
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Keywords: contagion ; financial crisis ; factor model ; correlation analysis ; Other versions of this item:
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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