Empirical Modelling of Contagion: A Review of Methodologies
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McKibbin, Renee Anne
Dungey, Mardi
González-Hermosillo, Brenda
Martin, Vance L.
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Taylor & Francis
Abstract
There is now a reasonably large body of empirical work
testing for the existence of contagion during financial
crises. A range of different methodologies are in use,
making it difficult to assess the evidence for and against
contagion, and particularly its significance in transmitting
crises between countries. The origins of current empirical
studies of contagion stem from Sharpe (1964) and Grubel
and Fadner (1971), and more recently from King and
Wadhwani (1990), Engle et al. (1990) and Bekaert and
Hodrick (1992).k
The aim of the present paper is to provide a unifying
framework to highlight the key similarities and differences
between the various approaches. For an overview
of the literature see Dornbusch et al. (2000) and Pericoli
and Sbracia (2003). The proposed framework is based on
a latent factor structure which forms the basis of the
models of Dungey and Martin (2001), Corsetti et al.
(2001, 2003) and Bekaert et al. (2005). This framework
is used to compare directly the correlation analysis
approach popularized in this literature by Forbes and
Rigobon (2002), the VAR approach of Favero and
Giavazzi (2002), the probability model of Eichengreen
et al. (1995, 1996) and the co-exceedance approach of
Bae et al. (2003).
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Quantitative Finance. 5.1(2005): 9-24