Dependence modeling using multivariate copulas with applications (2 days)
Copulas are a currently popular way to model multivariate data. They allow for flexible dependence modelling, different from assuming simple linear correlation structures and normality, which makes them particularly well-suited to many applications in finance, insurance and medicine, among others.
This two-day short course:
- Introduces and develops the theoretical aspects of dependence modelling with copulas both for continuous and discrete multivariate data
- Presents real-data applications of multivariate copulas describing features of existing copula software
- Presents the latest developments both in theory and practice
The course is intended for actuarial practitioners, risk professionals, consultants and academics.
After the course, the participants will have a firm knowledge on the theory of copulas and the use of copulas for dependence modelling in finance, actuarial science and medicine.