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The Determinants of Systemic Risk Contagion

dc.authorid Atasoy, Burak Sencer/0000-0001-8680-7531
dc.authorid Ozkan, Ibrahim/0000-0002-1092-8123
dc.authorid Erden, Lutfi/0000-0002-9365-6599
dc.authorscopusid 57186460300
dc.authorscopusid 23482661200
dc.authorscopusid 26537447900
dc.authorwosid Atasoy, Burak Sencer/Grx-0749-2022
dc.authorwosid Atasoy, Burak Sencer/K-1602-2017
dc.authorwosid Ozkan, Ibrahim/I-8714-2013
dc.contributor.author Atasoy, Burak Sencer
dc.contributor.author Ozkan, Ibrahim
dc.contributor.author Erden, Lutfi
dc.date.accessioned 2025-05-11T16:43:31Z
dc.date.available 2025-05-11T16:43:31Z
dc.date.issued 2024
dc.department Çankaya University en_US
dc.department-temp [Atasoy, Burak Sencer; Erden, Lutfi] Minist Treasury & Finance, Directorate Gen Econ Programs & Res, Inonu Blv 36, TR-06510 Ankara, Turkiye; [Atasoy, Burak Sencer] Hacettepe Univ, Dept Econ, TR-06800 Ankara, Turkiye; [Ozkan, Ibrahim] Cankaya Univ, Dept Management Informat Syst, Eskisehir Yolu 29 Km,Yukariyurtcu Mh Mimar Sinan C, TR-06790 Ankara, Turkiye en_US
dc.description Atasoy, Burak Sencer/0000-0001-8680-7531; Ozkan, Ibrahim/0000-0002-1092-8123; Erden, Lutfi/0000-0002-9365-6599 en_US
dc.description.abstract The elevated interconnectedness of the global financial system has resulted in an increased frequency of financial crises, characterized by the swift transmission of turmoil between countries. This study introduces a novel quantile-connectedness-based contagion metric and investigates the drivers of systemic risk contagion, employing methodologies that address endogeneity and time-variation. We analyze data spanning two decades from 27 international banks and encompassing balance sheet-derived variables. Our findings indicate that contagion during the 2004-2021 period is largely driven by credit risk and leverage, while the impact of size and capital adequacy weakens after 2012. Furthermore, funding structure and profitability only display a significant effect during the 2014-2017 and Covid-19 periods, respectively. We also observe distinct peaks and troughs in each bank's systemic risk propagation, although they share commonalities with their counterparts. Given our findings, we suggest a holistic systemic risk surveillance model that employs high-frequency data and simultaneously incorporates multiple risk factors. en_US
dc.description.woscitationindex Social Science Citation Index
dc.identifier.doi 10.1016/j.econmod.2023.106596
dc.identifier.issn 0264-9993
dc.identifier.issn 1873-6122
dc.identifier.scopus 2-s2.0-85177839882
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1016/j.econmod.2023.106596
dc.identifier.uri https://hdl.handle.net/20.500.12416/9545
dc.identifier.volume 130 en_US
dc.identifier.wos WOS:001125204600001
dc.identifier.wosquality Q1
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 6
dc.subject Contagion en_US
dc.subject Systemic Risk en_US
dc.subject Banking en_US
dc.subject Spillovers en_US
dc.subject Tail Risk en_US
dc.title The Determinants of Systemic Risk Contagion en_US
dc.type Article en_US
dc.wos.citedbyCount 5
dspace.entity.type Publication

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