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.

Highlights

  • Despite the lack of general agreement on a plain, ubiquitous definition, systemic risk lures the attention of regulators and all market participants

  • The recent financial crisis has clearly shown the extorsions in financial and macroeconomic stability that spun from systemic events

  • This resulted in a cogent and well-grounded vein of interest deriving from both academia and policy-making circles

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Summary

Introduction

Despite the lack of general agreement on a plain, ubiquitous definition, systemic risk lures the attention of regulators and all market participants. A wide range of indicators accounts for the various facets of systemic risk and they generally capture loss behavior and connections. The concept of systemic risk has received a heavy dose of both theoretical and empirical attention, given its character and the realities observed during the most recent financial crisis. An area of consensus in the literature germinates on the idea that the root of systemic risk derives from the intricate web of interconnections endemic to modern financial institutions that acts as a propagation channel for a given shock—see for example Wang et al [1] or Gofman [2]. As pointed out by numerous studies among which we mention

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