Assessing the impact of incomplete information on the resilience of financial networks
This paper explores the issue of robustness against failure cascades for the network of interbank exposures. The available data were retrieved through the Bank for International Settlements database and report only incomplete information from which networks displaying a core-periphery structure were...
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| Published in: | Annals of operations research Vol. 299; no. 1-2; pp. 721 - 745 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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New York
Springer US
01.04.2021
Springer Springer Nature B.V |
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| ISSN: | 0254-5330, 1572-9338 |
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| Abstract | This paper explores the issue of robustness against failure cascades for the network of interbank exposures. The available data were retrieved through the Bank for International Settlements database and report only incomplete information from which networks displaying a core-periphery structure were produced. A model of financial contagion was set up to estimate the width and length of the cascades, and was run on the networks detected from the data, as well as simulated data. The role of incomplete information was taken into account by considering a worst-case scenario in which unobserved links were assumed to be present. Given the core-periphery structure of the network, the worst-case scenario was studied in different sub-cases in which different periphery organisations were considered. Simulations showed that the actual network was far from the worst scenario for the propagation of contagion, meaning that the role of unobserved links can substantially alter the resilience of the whole network. |
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| AbstractList | This paper explores the issue of robustness against failure cascades for the network of interbank exposures. The available data were retrieved through the Bank for International Settlements database and report only incomplete information from which networks displaying a core-periphery structure were produced. A model of financial contagion was set up to estimate the width and length of the cascades, and was run on the networks detected from the data, as well as simulated data. The role of incomplete information was taken into account by considering a worst-case scenario in which unobserved links were assumed to be present. Given the core-periphery structure of the network, the worst-case scenario was studied in different sub-cases in which different periphery organisations were considered. Simulations showed that the actual network was far from the worst scenario for the propagation of contagion, meaning that the role of unobserved links can substantially alter the resilience of the whole network. |
| Audience | Academic |
| Author | Cinelli, Matteo Ferraro, Giovanna Rotundo, Giulia Iovanella, Antonio |
| Author_xml | – sequence: 1 givenname: Matteo orcidid: 0000-0003-3899-4592 surname: Cinelli fullname: Cinelli, Matteo organization: Department of Enterprise Engineering, University of Rome Tor Vergata – sequence: 2 givenname: Giovanna orcidid: 0000-0003-4053-7649 surname: Ferraro fullname: Ferraro, Giovanna organization: Department of Enterprise Engineering, University of Rome Tor Vergata – sequence: 3 givenname: Antonio orcidid: 0000-0001-8147-3747 surname: Iovanella fullname: Iovanella, Antonio email: antonio.iovanella@uniroma2.it organization: Department of Enterprise Engineering, University of Rome Tor Vergata – sequence: 4 givenname: Giulia orcidid: 0000-0001-6951-2707 surname: Rotundo fullname: Rotundo, Giulia organization: Department of Statistical Sciences, Sapienza University of Rome |
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| CitedBy_id | crossref_primary_10_1016_j_iswa_2021_200055 crossref_primary_10_1007_s00500_023_09460_7 crossref_primary_10_1007_s11846_023_00689_y crossref_primary_10_1007_s11403_022_00364_7 crossref_primary_10_1007_s10479_022_04567_w crossref_primary_10_1016_j_physa_2022_126976 crossref_primary_10_1007_s11135_022_01583_7 crossref_primary_10_3390_e22060676 crossref_primary_10_1007_s10479_023_05321_6 |
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| ContentType | Journal Article |
| Copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 COPYRIGHT 2021 Springer Annals of Operations Research is a copyright of Springer, (2019). All Rights Reserved. Springer Science+Business Media, LLC, part of Springer Nature 2019. |
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| Keywords | C63 Cross-border banking G20 Network analysis Financial interconnectedness Incomplete information Resilience |
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| Title | Assessing the impact of incomplete information on the resilience of financial networks |
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