Code covered by the BSD License
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LogLik(x,Nu,Sigma)
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MleRecursionForT(x,Nu,K,Toler...
this function computes recursively the ML estimators of the correlation
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[Nu,C]=StrucTMLE(X,K,Toleranc...
this function computes recursively the ML estimators of the correlation
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[W,F,U]=SeparateMargCop(X)
this function separates the empirical copula from the marginal distribution
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S_ReadMe.m
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View all files
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Estimation of Structured t-Copulas
by Attilio Meucci
Recursive routine to estimate structured correlation matrix and degrees of freedom
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| S_ReadMe.m |
clear; close all; clc;
% this script illustrates the recursive computation of the ML estimators
% of correlation matrix and the d.o.g. of a t copula with isotropic structure
% see A. Meucci (2008) "Estimation of Structured T-Copulas"
% available at www.symmys.com > Research > Working Papers
load DB_SwapParRates
X=Rates(2:end,:)-Rates(1:end-1,:);
% only first three eigendirections significant, the remaining dimensions isotropic
K=3;
Tolerance=10^(-10);
[Nu,C]=StrucTMLE(X,K,Tolerance);
bar(eig(C))
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