In this paper, we deal with the evaluation of Conditional Value-at-Risk in the framework of portfolio theory by using a modified Gaussian Copula – where the modification is obtained by introducing the Generalized Correlation Coefficient – and by assuming a GeneralizedErrorDistributionwithproperlyestimatedshapeparameterpforthereturns of the considered risky assets. In so doing, we add to the connection between standard Copula theory and financial risk assessment. A comparison analysis of our findings with those obtainable through a standard Gaussian Copula-based procedure in a set of real data is also presented.

A Generalized Error Distribution Copula-based method for portfolios risk assessment

Massimiliano Giacalone;
2019

Abstract

In this paper, we deal with the evaluation of Conditional Value-at-Risk in the framework of portfolio theory by using a modified Gaussian Copula – where the modification is obtained by introducing the Generalized Correlation Coefficient – and by assuming a GeneralizedErrorDistributionwithproperlyestimatedshapeparameterpforthereturns of the considered risky assets. In so doing, we add to the connection between standard Copula theory and financial risk assessment. A comparison analysis of our findings with those obtainable through a standard Gaussian Copula-based procedure in a set of real data is also presented.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/483239
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