Next Article in Journal
An Urn-Based Nonparametric Modeling of the Dependence between PD and LGD with an Application to Mortgages
Previous Article in Journal
Can Machine Learning-Based Portfolios Outperform Traditional Risk-Based Portfolios? The Need to Account for Covariance Misspecification
Previous Article in Special Issue
Memory, Risk Aversion, and Nonlife Insurance Consumption: Evidence from Emerging and Developing Markets
Open AccessArticle

The Time-Spatial Dimension of Eurozone Banking Systemic Risk

Department of Economics, “G.d’Annunzio” University of Chieti-Pescara, Viale Pindaro n. 42, 65127 Pescara, Italy
*
Author to whom correspondence should be addressed.
Risks 2019, 7(3), 75; https://doi.org/10.3390/risks7030075
Received: 24 May 2019 / Revised: 1 July 2019 / Accepted: 3 July 2019 / Published: 6 July 2019
(This article belongs to the Special Issue Systemic Risk in Finance and Insurance)
In this paper, we measure the systemic risk with a novel methodology, based on a “spatial-temporal” approach. We propose a new bank systemic risk measure to consider the two components of systemic risk: cross-sectional and time dimension. The aim is to highlight the “time-space dynamics” of contagion, i.e., if the CDS spread of bank i depends on the CDS spread of other banks. To do this, we use an advanced spatial econometrics design with a time-varying spatial dependence that can be interpreted as an index of the degree of cross-sectional spillovers. The findings highlight that the Eurozone banks have strong spatial dependence in the evolution of CDS spread, namely the contagion effect is present and persistent. Moreover, we analyse the role of the European Central Bank in managing contagion risk. We find that monetary policy has been effective in reducing systemic risk. However, the results show that systemic risk does not imply a policy intervention, highlighting how financial stability policy is not yet an objective. View Full-Text
Keywords: spatial contagion; systemic risk measure; bank risk-taking; macroprudential policy spatial contagion; systemic risk measure; bank risk-taking; macroprudential policy
Show Figures

Graphical abstract

MDPI and ACS Style

Foglia, M.; Angelini, E. The Time-Spatial Dimension of Eurozone Banking Systemic Risk. Risks 2019, 7, 75.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop