The author propose a copula-based three-stage estimation technique in order to describe the serial and cross-sectional nonlinear dependence among financial multiple time series, exploring the existence of tail risk. We find out on MSCI World Sector Indices the higher performance of the approach against the classical Vector AutoRegressive models, giving the implications of misspecified assumptions for margins and/or joint distribution and providing tail dependence measures of financial variables involved in the analysis.

Assessing tail risk for nonlinear dependence of MSCI sector indices: A copula three-stage approach

De Luca, Giovanni
;
Guégan, Dominique;Rivieccio, Giorgia
2019

Abstract

The author propose a copula-based three-stage estimation technique in order to describe the serial and cross-sectional nonlinear dependence among financial multiple time series, exploring the existence of tail risk. We find out on MSCI World Sector Indices the higher performance of the approach against the classical Vector AutoRegressive models, giving the implications of misspecified assumptions for margins and/or joint distribution and providing tail dependence measures of financial variables involved in the analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/71560
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