A Copula-based Markov Reward Approach to the Credit Spread in the European Union. Issue 4 (4th July 2019)

• Record Type: Journal Article
• Authors: D'Amico, Guglielmo; Petroni, Filippo; Regnault, Philippe; Scocchera, Stefania; Storchi, Loriano
• Is Part Of: Applied mathematical finance. Volume 26:Issue 4(2019)
• Page Start: 359
• Page End: 386
• Publication Date: 2019-07-04
• Subjects: Sovereign credit rating -- Markov process -- Dynamic measure of inequality -- Copula -- Change-point; Business mathematics -- Periodicals; 650.0151
• DOI: 10.1080/1350486X.2019.1702068
• Languages: English
• ISSNs: 1350-486X

Abstract

ABSTRACT: In this paper, we propose a methodology based on piecewise homogeneous Markov chain for credit ratings and a multivariate model of the credit spreads to evaluate the financial risk in the European Union (EU). Two main aspects are considered: how the financial risk is distributed among the European countries and how large is the value of the total risk. The first aspect is evaluated by means of the expected value of a dynamic entropy measure. The second one is solved by computing the evolution of the total credit spread over time. Moreover, the covariance between countries' total spread allows the understanding of any contagions in the EU. The methodology is applied to real data of 24 European countries for the three major rating agencies: Moody's, Standard & Poor's and Fitch. Obtained results suggest that both the financial risk inequality and the value of the total risk increase over time at a different rate depending on the rating agency. Moreover, the results indicate that the dependence structure is characterized by a strong correlation between most of the European countries.