Publication: Estimating global bank network connectedness
| dc.contributor.coauthor | Demirer, Mert | |
| dc.contributor.coauthor | Diebold, Francis X. | |
| dc.contributor.coauthor | Liu, Laura | |
| dc.contributor.department | Department of Economics | |
| dc.contributor.facultymember | Yes | |
| dc.contributor.kuauthor | Yılmaz, Kamil | |
| dc.contributor.schoolcollegeinstitute | College of Administrative Sciences and Economics | |
| dc.date.accessioned | 2024-11-09T22:53:30Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | We 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.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | NO | |
| dc.description.peerreviewstatus | N/A | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
| dc.description.sponsorship | For 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.studentonlypublication | No | |
| dc.description.studentpublication | No | |
| dc.description.version | N/A | |
| dc.identifier.WoSQuartile | Q1 | |
| dc.identifier.doi | 10.1002/jae.2585 | |
| dc.identifier.eissn | 1099-1255 | |
| dc.identifier.embargo | N/A | |
| dc.identifier.endpage | 15 | |
| dc.identifier.grantno | 111K500 | |
| dc.identifier.issn | 0883-7252 | |
| dc.identifier.issue | 1 | |
| dc.identifier.scopus | 2-s2.0-85026433436 | |
| dc.identifier.startpage | 1 | |
| dc.identifier.uri | https://doi.org/10.1002/jae.2585 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/7201 | |
| dc.identifier.volume | 33 | |
| dc.identifier.wos | 000425635100001 | |
| dc.keywords | Network connectedness | |
| dc.keywords | Systemic risk | |
| dc.keywords | LASSO | |
| dc.keywords | Bank equity returns | |
| dc.language.iso | eng | |
| dc.publisher | Wiley | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Journal of Applied Econometrics | |
| dc.relation.openaccess | N/A | |
| dc.relation.project | Varyans Ayrıştırmasının Ağ Topolojisi ve Mali Piyasalar Arasındaki Bağlanmışlığın Ölçümü | |
| dc.rights | N/A | |
| dc.subject | Financial econometrics | |
| dc.subject | International finance | |
| dc.title | Estimating global bank network connectedness | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Yılmaz, Kamil | |
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