Copula-Based Models for Financial Time Series

By Patton Andrew J.
Handbook of Financial Time Series (2009)

  • Andrew J. Patton

    Duke University

    USA

Created

September 27, 2013

Last update

June 20, 2016

Software

Matlab

Ranking

12

Visits

8485

Downloads

1439

Description

This code estimates a dozen constant and time-varying copula functions for bivariate time-series (e.g. Normal, Clayton, Rotates Clayton, Plackett, Frank, Gumbel, Rotated Gumbel, Student, Symmetrised Joe-Clayton). These copulas are then compared by relying on criteria such as Log-likelihood, AIC or BIC. Besides, the code reports the plots for exceedence correlations, quantile dependence and the graphical comparison of the constant and the time-varying versions of three copulas, i.e. Normal, Gumbel and SJC. For the constant copulas, the level of tail dependence (Ldep and Udep) is also indicated.

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