Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching : evidence from over a century of data

dc.contributor.authorJi, Qiang
dc.contributor.authorLiu, Bing-Yue
dc.contributor.authorCunado, Juncal
dc.contributor.authorGupta, Rangan
dc.contributor.emailrangan.gupta@up.ac.zaen_ZA
dc.date.accessioned2018-10-17T08:37:49Z
dc.date.issued2020-01
dc.description.abstractThis paper analyses the risk spillover effect between the US stock market and the remaining G7 stock markets by measuring the conditional Value-at-Risk (CoVaR) using time-varying copula models with Markov switching and data that covers more than 100 years. The main results suggest that the dependence structure varies with time and has distinct high and low dependence regimes. Our findings verify the existence of risk spillover between the US stock market and the remaining G7 stock markets. Furthermore, the results imply the following: 1) abnormal spikes of dynamic CoVaR were induced by well-known historical economic shocks; 2) The value of upside risk spillover is significantly larger than the downside risk spillover and 3) The magnitudes of risk spillover from the remaining G7 countries to the US are significantly larger than that from the US to these countries.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.embargo2019-09-29
dc.description.librarianhj2018en_ZA
dc.description.sponsorshipQiang Ji acknowledges support from the National Natural Science Foundation of China under Grant No. 71774152, No. 91546109; and Youth Innovation Promotion Association of Chinese Academy of Sciences (Grant: Y7X0231505). Juncal Cunado acknowledges financial support from Ministerio de Economia y Competitividad (ECO2017-83183-R).en_ZA
dc.description.urihttp://www.elsevier.com/locate/ecofinen_ZA
dc.identifier.citationJi, Q., Liu, B.-Y., Cunado, J. & Gupta. R. 2020. 'Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching : evidence from over a century of data', The North American Journal of Economics and Finance, vol. 51, art. 100846, pp. 1-15.en_ZA
dc.identifier.issn1062-9408 (print)
dc.identifier.issn1879-0860 (online)
dc.identifier.other10.1016/j.najef.2018.09.004
dc.identifier.urihttp://hdl.handle.net/2263/66921
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in North American Journal of Economics and Finance. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in North American Journal of Economics and Finance, vol. 51, art. 100846, pp. 1-15 2020, doi : 10.1016/j.najef.2018.09.004.en_ZA
dc.subjectConditional value-at-risk (CoVaR)en_ZA
dc.subjectTime-varying copulaen_ZA
dc.subjectMarkov switchingen_ZA
dc.subjectRisk spilloveren_ZA
dc.subjectG7 stock marketsen_ZA
dc.titleRisk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching : evidence from over a century of dataen_ZA
dc.typePostprint Articleen_ZA

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