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 Generalized Error Distribution with properly estimated shape parameter for the returns 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.
Original language | English |
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Pages (from-to) | 687-695 |
Journal | Physica A: Statistical Mechanics and its Applications |
DOIs | |
Publication status | Published - Jun 2019 |
Externally published | Yes |