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Conditional correlation modelling: Simulation study

Publication at Faculty of Mathematics and Physics |
2012

Abstract

This contribution deals with a simulation analysis of time varying correlations. Several different approaches are assumed: the exponential smoothing, the moving averages, the technique based on the Cholesky decomposition with various types of estimators and Engle's dynamic conditional correlations models.