Abstract
Although there exists a large variety of copula functions, only a few are practically manageable, and often the choice in dependence modeling falls on the Gaussian copula. Furthermore most copulas are exchangeable, thus implying symmetric dependence. We introduce a way to construct copulas based on periodic functions. We study the two-dimensional case based on one dependence parameter and then provide a way to extend the construction to the n-dimensional framework. We can thus construct families of copulas in dimension n and parameterized by n - 1 parameters, implying possibly asymmetric relations. Such "periodic" copulas can be simulated easily.
| Original language | English |
|---|---|
| Pages (from-to) | 1437-1447 |
| Number of pages | 11 |
| Journal | Communications in Statistics - Theory and Methods |
| Volume | 34 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 15 Aug 2005 |
Keywords
- Archimedean copula
- Copula functions
- Dependence modeling
- Gaussian copula
- Periodic copula
- Schur functions
- Simulation
Fingerprint
Dive into the research topics of 'New families of copulas based on periodic functions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver