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Updated: Nov 27, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A Bayesian Entropy Approach to Sectoral Systemic Risk Modeling
Radu Lupu1,2, Adrian Cantemir Călin1,2, Cristina Georgiana Zeldea1,3
1Department of International Business and Economics, Bucharest University of Economic Studies, 010404 Bucharest, Romania.
Abstract:
We investigate the dynamics of systemic risk of European companies using an approach that merges paradigmatic risk measures such as Marginal Expected Shortfall, CoVaR, and Delta CoVaR, with a Bayesian entropy estimation method. Our purpose is to bring to light potential spillover effects of the entropy indicator for the systemic risk measures computed on the 24 sectors that compose the STOXX 600 index. Our results show that several sectors have a high proclivity for generating spillovers. In general, the largest influences are delivered by Capital Goods, Banks, Diversified Financials, Insurance, and Real Estate. We also bring detailed evidence on the sectors that are the most pregnable to spillovers and on those that represent the main contributors of spillovers.
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