A copula from two, independent standard Gaussian variables; from 0 standard deviations for each variable from the center:
A copula from two, independent standard Gaussian variables; from 2 standard deviations for each variable from the center:
Note that Guassian copulas suffer from a lack of tail dependence. Also the difference between the copulas shows a pattern that is more minimal, the further from the center one begins their analysis. For example, the copula from the shifted center shows a much weaker marginal tail distribution. Notice the surface plot below, which differences the second distribution chart above, from the first distribution chart above:



Amazing ! This is cool!
ReplyDeleteThanks much acronym. Also, given recent market volatility, you may enjoy the next article on fundamental "Implied volatility regimes". Or you can go here: http://statisticalideas.blogspot.com/2013/02/implied-volatility-distribution.html.
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