Publication:
Estimating global bank network connectedness

dc.contributor.coauthorDemirer, Mert
dc.contributor.coauthorDiebold, Francis X.
dc.contributor.coauthorLiu, Laura
dc.contributor.departmentDepartment of Economics
dc.contributor.facultymemberYes
dc.contributor.kuauthorYılmaz, Kamil
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.date.accessioned2024-11-09T22:53:30Z
dc.date.issued2018
dc.description.abstractWe use LASSO methods to shrink, select, and estimate the high-dimensional network linking the publicly traded subset of the world's top 150 banks, 2003–2014. We characterize static network connectedness using full-sample estimation and dynamic network connectedness using rolling-window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross-country as opposed to within-country bank linkages.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipFor constructive comments and guidance we thank Jonathan Wright, the Editor, and two referees. For helpful discussionwe thank seminar participants at CORE, National Bank of Belgium, Duke University, the European University Institute, theInternational Monetary Fund, the PIER Policy Tools Workshop, Université Catholique de Louvain, the University of York,Koç University, the University of Pennsylvania, the University of Minho, Bogazici University, the University of Bologna, theUniversity of Delaware, and the Federal Reserve Bank of Richmond. We are similarly grateful to participants at the Univer-sity of Chicago Conference on Machine Learning and Economics, ECB-CBRT Conference on Assessing the MacroeconomicImplications of Financial and Production Networks, the (EC) 2 Annual Conference, the Econometric Society North AmericanWinter Meetings, the Vienna Workshop on High Dimensional Time Series in Macroeconomics and Finance, and the FRB SanFrancisco Conference in Honor of James Hamilton. We are especially grateful to Turan Bali, Gorkem Bostanci, ChristianBrownlees, Fabio Canova, Umut Gokcen, M. Furkan Karaca, Laura Kaufmann, Serena Ng, Han Ozsoylev, Minchul Shin,David Veredas, and Tanju Yorulmazer. Demirer and Yılmaz thank the Turkish Scientific and Technological Research Council(TUBITAK) for financial support through Grant No. 111K500. The usual disclaimer applies.
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1002/jae.2585
dc.identifier.eissn1099-1255
dc.identifier.embargoN/A
dc.identifier.endpage15
dc.identifier.grantno111K500
dc.identifier.issn0883-7252
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85026433436
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1002/jae.2585
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7201
dc.identifier.volume33
dc.identifier.wos000425635100001
dc.keywordsNetwork connectedness
dc.keywordsSystemic risk
dc.keywordsLASSO
dc.keywordsBank equity returns
dc.language.isoeng
dc.publisherWiley
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Applied Econometrics
dc.relation.openaccessN/A
dc.relation.projectVaryans Ayrıştırmasının Ağ Topolojisi ve Mali Piyasalar Arasındaki Bağlanmışlığın Ölçümü
dc.rightsN/A
dc.subjectFinancial econometrics
dc.subjectInternational finance
dc.titleEstimating global bank network connectedness
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Kamil
relation.isOrgUnitOfPublication7ad2a3bb-d8d9-4cbd-a6a3-3ca4b30b40c3
relation.isOrgUnitOfPublication.latestForDiscovery7ad2a3bb-d8d9-4cbd-a6a3-3ca4b30b40c3
relation.isParentOrgUnitOfPublication972aa199-81e2-499f-908e-6fa3deca434a
relation.isParentOrgUnitOfPublication.latestForDiscovery972aa199-81e2-499f-908e-6fa3deca434a
relation.isProjectOfPublication11cc3448-e103-47a4-b25c-6918051e82d3
relation.isProjectOfPublication.latestForDiscovery11cc3448-e103-47a4-b25c-6918051e82d3

Files