Systemic stress test model for shared portfolio networks
Abstract We propose a dynamic model for systemic risk using a bipartite network of banks and assets in which the weight of links and node attributes vary over time. Using market data and bank asset holdings, we are able to estimate a single parameter as an indicator of the stability of the financial...
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Nature Portfolio
2021
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oai:doaj.org-article:e34544dd6712478ab8ba1a2efab233432021-12-02T14:26:47ZSystemic stress test model for shared portfolio networks10.1038/s41598-021-82904-y2045-2322https://doaj.org/article/e34544dd6712478ab8ba1a2efab233432021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82904-yhttps://doaj.org/toc/2045-2322Abstract We propose a dynamic model for systemic risk using a bipartite network of banks and assets in which the weight of links and node attributes vary over time. Using market data and bank asset holdings, we are able to estimate a single parameter as an indicator of the stability of the financial system. We apply the model to the European sovereign debt crisis and observe that the results closely match real-world events (e.g., the high risk of Greek sovereign bonds and the distress of Greek banks). Our model could become complementary to existing stress tests, incorporating the contribution of interconnectivity of the banks to systemic risk in time-dependent networks. Additionally, we propose an institutional systemic importance ranking, BankRank, for the financial institutions analyzed in this study to assess the contribution of individual banks to the overall systemic risk.Irena VodenskaNima DehmamyAlexander P. BeckerSergey V. BuldyrevShlomo HavlinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Irena Vodenska Nima Dehmamy Alexander P. Becker Sergey V. Buldyrev Shlomo Havlin Systemic stress test model for shared portfolio networks |
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Abstract We propose a dynamic model for systemic risk using a bipartite network of banks and assets in which the weight of links and node attributes vary over time. Using market data and bank asset holdings, we are able to estimate a single parameter as an indicator of the stability of the financial system. We apply the model to the European sovereign debt crisis and observe that the results closely match real-world events (e.g., the high risk of Greek sovereign bonds and the distress of Greek banks). Our model could become complementary to existing stress tests, incorporating the contribution of interconnectivity of the banks to systemic risk in time-dependent networks. Additionally, we propose an institutional systemic importance ranking, BankRank, for the financial institutions analyzed in this study to assess the contribution of individual banks to the overall systemic risk. |
format |
article |
author |
Irena Vodenska Nima Dehmamy Alexander P. Becker Sergey V. Buldyrev Shlomo Havlin |
author_facet |
Irena Vodenska Nima Dehmamy Alexander P. Becker Sergey V. Buldyrev Shlomo Havlin |
author_sort |
Irena Vodenska |
title |
Systemic stress test model for shared portfolio networks |
title_short |
Systemic stress test model for shared portfolio networks |
title_full |
Systemic stress test model for shared portfolio networks |
title_fullStr |
Systemic stress test model for shared portfolio networks |
title_full_unstemmed |
Systemic stress test model for shared portfolio networks |
title_sort |
systemic stress test model for shared portfolio networks |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/e34544dd6712478ab8ba1a2efab23343 |
work_keys_str_mv |
AT irenavodenska systemicstresstestmodelforsharedportfolionetworks AT nimadehmamy systemicstresstestmodelforsharedportfolionetworks AT alexanderpbecker systemicstresstestmodelforsharedportfolionetworks AT sergeyvbuldyrev systemicstresstestmodelforsharedportfolionetworks AT shlomohavlin systemicstresstestmodelforsharedportfolionetworks |
_version_ |
1718391342457946112 |