Abstract
In this paper, we discuss a copula defined by the Gaussian subordination method. The copula can capture the dependence between extreme events, and asymmetric dependence, which are observed in empirical financial return distributions. We further perform an empirical test for this new copula against the standard Gaussian copula using 10 years daily returns of the Standard&Poor's 500 (S&P500) and the Deutscher Aktien Index (DAX) equity market indices.
| Original language | English |
|---|---|
| Pages (from-to) | 676-680 |
| Number of pages | 5 |
| Journal | Applied Mathematics Letters |
| Volume | 26 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2013 |
Keywords
- Asymmetric dependency
- Copula
- Normal tempered stable copula
Fingerprint
Dive into the research topics of 'Normal tempered stable copula'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver