van Dijk, Dick
[Erasmus University Roterdam]
Hans Franses, Philip
[Erasmus University Roterdam]
Hafner, Christian
[Erasmus University Roterdam]
We propose a new semi-parametric model for correlation dynamics in asset returns that nests the popular constant conditional correlation model of Bollerslev (1990). It is commonly found that correlations in financial markets are not constant over time. Models for dynamic correlations have been proposed recently, e.g. by Engle (2002). In particular, there is a growing literature reporting asymmetries in correlations, where correlations increase in bear markets but remain stable in bull markets, see e.g., Ang and Chen (2002), Butler and Joaquin (2002), Campbell et al. (2002), Cappiello et al. (2003) and Longin and Solnik (2001). Such asymmetries would have ma jor consequences for risk management, as benefits from diversification seem to melt down when they are mostly needed. Our model can detect asymmetries in correlations with respect to a common factor, for example the lagged market return or volatility. Unlike many competing multivariate GARCH models (see Bauwens et al., 2005 for a review), it does not suffer from the curse of dimensionality.
Bibliographic reference |
van Dijk, Dick ; Hans Franses, Philip ; Hafner, Christian. SPARC: A New Semiparametric Correlation Model.55th ISI Session (Sydney, du 6/04/2005 au 12/04/2012). In: Dennis Trewin, Proceedings of the 55th ISI World Statistics Congresses, International Statistical Institute : Sydney2005 |
Permanent URL |
http://hdl.handle.net/2078/119779 |