Modelling, Estimation and Visualization of Multivariate Dependence for Risk Management

Hsing, T.; Klüppelberg, Claudia; Kuhn, Gabriel (2004): Modelling, Estimation and Visualization of Multivariate Dependence for Risk Management. Collaborative Research Center 386, Discussion Paper 375

Abstract

Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuring extreme risk in terms of the Value-at-Risk, the multivariate normal model with linear correlation as its natural dependence measure is by no means an ideal model. We suggest a large class of models and a new dependence function which allows us to capture the complete extreme dependence structure of a portfolio. We also present a simple nonparametric estimation procedure. To show our new method at work we apply it to a financial data set of zero coupon swap rates and estimate the extreme dependence in the data.

• Item Type: Paper (Research Paper)
• Faculties: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics
• Language: English