
Examine copulas as mathematical objects that transform marginals into a joint distribution using generator functions and their inverses, illustrating independent, Gumbel, and normal copulas.
Explore survival copulas, linking marginal survival functions to a joint survival function, and show copulas need not be limited to cumulative distribution functions.
Correction*
Minimum Copula is Upper Bound.
Maximum Copula is Lower Bound.
Explore the frank copula, a generator-based copula with an alpha parameter. It has no upper or lower tail dependency, and extreme alpha values yield maximum or minimum copulas.
Explore the Clayton copula and its two-parameter generator with alpha and beta, including alpha=1 reducing to the gumballs copula and beta=0 yielding tail dependencies.
This course is designed primarily for Actuarial Students writing exam SP9 and CS2.
The focus of these videos is on the theory rather than the application.
We look at the following
Sklar's Theorem
Survival Copulas
Frechet & Hoeffding Boundary Copulas
Archimedean Copulas
Generator Functions
Gumbel Copula
Frank Copula
Clayton Copula
Gaussian and Student t Copula
We focus on the generator functions and the dependency structure.
We don't look at any R code or real life applications.