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Modelling financial markets comovements during crises: A dynamic multi-factor approach

Belvisi, M, Pianeti, R and Urga, G. (2016). Modelling financial markets comovements during crises: A dynamic multi-factor approach. Advances in Econometrics, 35, pp. 317-360. doi: 10.1108/S0731-905320150000035008

Abstract

Copyright © 2016 by Emerald Group Publishing Limited. We propose a novel dynamic factor model to characterise comovements between returns on securities from different asset classes from different countries. We apply a global-class-country latent factor model and allow time-varying loadings. We are able to separate contagion (asset exposure driven) and excess interdependence (factor volatility driven). Using data from 1999 to 2012, we find evidence of contagion from the US stock market during the 2007-2009 financial crisis, and of excess interdependence during the European debt crisis from May 2010 onwards. Neither contagion nor excess interdependence is found when the average measure of model implied comovements is used.

Publication Type: Article
Publisher Keywords: Dynamic factor models, comovements, contagion, Kalman filter, autometrics
Subjects: H Social Sciences > HG Finance
Departments: Cass Business School > Finance
URI: http://openaccess.city.ac.uk/id/eprint/14539
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