Working Paper: CEPR ID: DP3310
Authors: Giancarlo Corsetti; Marcello Pericoli; Massimo Sbracia
Abstract: This Paper develops a test of contagion in financial markets based on bivariate correlation analysis, which generalizes existing tests, and applies it to the international effects of the Hong Kong stock market crisis of October 1997. Contagion is defined as a structural break in the international transmission of financial shocks. For plausible values of the variance of country-specific shocks in Hong Kong, our test finds evidence of contagion for 5 countries out of a sample of 17. This is in sharp contrast with the findings of recent literature, according to which there is 'no contagion, only interdependence'. We show that this strong result in the literature is due to arbitrary and unrealistic restrictions on the variance of country-specific shocks.
Keywords: contagion; correlation analysis; factor model; financial crisis
JEL Codes: C10; F30; G10; G15
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| contagion (F65) | significant structural break in the transmission of financial shocks (F65) |
| increased correlations among stock markets (G15) | contagion (F65) |
| arbitrary restrictions on the variance of country-specific shocks (C22) | strong results supporting interdependence (D70) |
| contagion (F65) | increased correlations among stock markets (G15) |