For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.

'Copulae in tempore varientes Inhomogeneous Dependence Modeling with Time Varying Copulae'.

Event details of Economics Colloquia: Wolfgang Härdle (Humboldt-Universität, Berlin)
Date 18 October 2007
Time 12:00 -13:00
Location Roeterseilandcampus - building E

Copulae in tempore varientes
Inhomogeneous Dependence Modeling with Time Varying Copulae
Wolfgang Härdle (Humboldt-Universität, Berlin)

Abstract

Measuring dependence in a multivariate time series is tantamount to modelling its dynamic structure in space and time. In the context of a multivariate normally distributed time series, the evolution of the covariance (or correlation) matrix over time describes this dynamic. A wide variety of applications, though, requires a modelling framework different from the multivariate normal. In risk management the non-normal behaviour of most financial time series calls for non-gaussian dependency. The correct modelling of non-gaussian dependencies is therefore a key issue in the analysis of multivariate time series. In this paper we use copulae functions with adaptively estimated time varying parameters for modelling the distribution of returns, free from the usual normality assumptions. Further, we apply copulae to estimation of Value-at-Risk (VaR) of a portfolio and show its better performance over the RiskMetrics approach, a widely used methodology for VaR estimation.

JEL classification: C 14, C16, C60, C61

Keywords: Value-at-Risk, time varying copulae, adaptive estimation, nonparametric estimation

For more information please contact Dr. M. Anufriev

Roeterseilandcampus - building E

Roetersstraat 11
1018 WB Amsterdam

Deelname