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.
| Dokumententyp: | Paper |
|---|---|
| Fakultät: | Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386
Sonderforschungsbereiche > Sonderforschungsbereich 386 |
| Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
| URN: | urn:nbn:de:bvb:19-epub-1746-8 |
| Sprache: | Englisch |
| Dokumenten ID: | 1746 |
| Datum der Veröffentlichung auf Open Access LMU: | 10. Apr. 2007 |
| Letzte Änderungen: | 04. Nov. 2020 12:45 |

