October 8th, 2003, 9:53 am
QuoteOriginally posted by: StefanoneI have just completed the parameter estimation for the student's t copula with Matlab.I can tell you that the final result is heavily dependent on the quality of initial data. The MLE (or, better, as u might know, CML or IFM) is easy to programme once u know the expression for the log likelihood of the copula density. Doing it for the multivariate case is straightforward. To this end, u can find the expression for the Clayton multivariate copula in Meneguzzo-Vecchiato (2002). An alfa about 0.5 could be a good indicator of your estimation.. for the t copula, the degrees of freedom ranges is about 7-15 DoF..but again don't trust the result immediatly, cause you have to work on the data first and be very careful on missing data and observation frequency..to this end have a look at Mashal-Zeevi paper.Let me know if any problem arises..Now I am comparing CDO prices by using different copulae..Any discussion on it is really welcome..rgds,S. My data has negative dependence so using the new software from S-plus (finmetrics) is not working because it does not implement negative dependence yet. I want to fit frank scopula to 2 rv. Can you provide a step by step procedure in Matlab. I have very little time to learn matlab.