July 26th, 2006, 10:04 am
To see the difference between the frank copula and the gaussian try to enhance the parameter of the frank copula. To get more intuition remember to look at the distribution function - not the copula in isolation (which in itself is a distribution function). I have attach a picture showing 4 2-dimensional distributions function with different copulas. To me the dependence induced by the frank copula looks more like a butterfly (for large parameter) where the gaussian looks like a cigar again for large parameter Hope it helps/Jonas
Last edited by
jhlm on July 25th, 2006, 10:00 pm, edited 1 time in total.