Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/157165
Campo DC Valoridioma
dc.contributor.authorAndrada Félix, Juliánen_US
dc.contributor.authorGomez-Puig, Martaen_US
dc.contributor.authorSosvilla-Rivero, Simonen_US
dc.date.accessioned2026-02-05T09:15:35Z-
dc.date.available2026-02-05T09:15:35Z-
dc.date.issued2025en_US
dc.identifier.issn0927-7099en_US
dc.identifier.otherWoS-
dc.identifier.urihttps://accedacris.ulpgc.es/jspui/handle/10553/157165-
dc.description.abstractComparing the UK's 2022 sovereign debt crisis with earlier European examples is crucial for a holistic understanding of how such crises emerge and evolve to better comprehend the warning signs of sovereign distress and the importance of coherent and credible economic governance. Both crises were marked by sudden and severe shifts in investor confidence. The UK government's "mini budget" announcement on September 23, 2022, sent yields on UK gilts soaring at a daily rate not seen since the 1990s. Similarly, official disclosure by Papandreou's government regarding the actual state of Greece's public finances on October 20, 2009, caused daily sovereign debt yields in some euro area countries to rise to levels not seen since joining the euro. The primary objective of this paper is to conduct a comparative econometric analysis of the euro area sovereign bond market, with the goal of identifying past episodes similar to the turmoil experienced in the UK government bond market during September-October 2022. This comparative perspective aims to provide valuable insights for future crisis prevention in an increasingly interconnected global financial system. Specifically, we use daily data on 10-year government bond yields from January 3, 2000, to June 30, 2023, and apply both univariate and multivariate nearest neighbours' techniques. We also introduce a novel methodology, k-Related Simultaneous Nearest Neighbours (k-RSNN), which offers significant advantages over traditional forecasting models such as ARIMA and GARCH (it enables simultaneous analysis of multiple sovereign bond markets, effectively capturing cross-country dynamics, detecting nonlinear patterns and structural breaks, and identifying past events similar to recent crises). Our results show that financial markets initially interpreted the UK bond market disruptions between October 17 and 31, 2022, as comparable to the fiscal credibility crises faced by Spain and Italy during the European sovereign debt crisis. However, after the Bank of England's targeted intervention, perceptions of the UK's fiscal credibility shifted toward alignment with core euro area countries. Finally, from January 16 to June 30, 2023, we find strong parallels with the sovereign-bank risk nexus that previously affected Spain and Italy during the euro area crisis. Our findings indicate that although the origins of the crisis in the UK and the euro area are different (lack of fiscal credibility and poor communication vs. solvency concerns, weak banking systems, and limitations of incomplete economic unions), examining them together offers valuable lessons: policymakers should better recognise early warning signs of sovereign distress and reinforce the importance of coherent and credible economic governance.en_US
dc.languageengen_US
dc.relation.ispartofComputational Economicsen_US
dc.sourceComputational Economics[ISSN 0927-7099], (2025)en_US
dc.subject530706 Fluctuaciones económicasen_US
dc.subject.otherNearest-Neighbor Regressionen_US
dc.subject.otherNeural-Networksen_US
dc.subject.otherFiscal-Policyen_US
dc.subject.otherSovereignen_US
dc.subject.otherConsistencyen_US
dc.subject.otherGovernmenten_US
dc.subject.otherContagionen_US
dc.subject.otherForecastsen_US
dc.subject.otherDynamicsen_US
dc.subject.otherSpreaden_US
dc.subject.otherFinancial Crisisen_US
dc.subject.otherBond Marketsen_US
dc.subject.otherFiscal Credibilityen_US
dc.subject.otherUnited Kingdomen_US
dc.subject.otherAnalogiesen_US
dc.subject.otherNearest Neighbours' Analysisen_US
dc.titleBritaly?: identifying euro area historical analogues to the UK'S 2022 bond market shocken_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10614-025-11189-4en_US
dc.identifier.scopus105024946225-
dc.identifier.isi001639797500001-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0001-8349-2829-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid6505916889-
dc.contributor.authorscopusid11939316300-
dc.contributor.authorscopusid6701863324-
dc.identifier.eissn1572-9974-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.description.numberofpages40en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Andrada-Félix, J-
dc.contributor.wosstandardWOS:Gomez-Puig, M-
dc.contributor.wosstandardWOS:Sosvilla-Rivero, S-
dc.date.coverdate2025en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,498
dc.description.jcr2,2
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.ssciSSCI
dc.description.miaricds11,0
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-8598-3234-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameAndrada Félix, Julián-
Colección:Artículos
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