Geopolitical risk and stock market volatility in emerging markets : a GARCH–MIDAS approach

dc.contributor.authorSalisu, Afees A.
dc.contributor.authorOgbonna, Ahamuefula E.
dc.contributor.authorLasisi, Lukman
dc.contributor.authorOlaniran, Abeeb
dc.date.accessioned2023-01-25T12:17:51Z
dc.date.available2023-01-25T12:17:51Z
dc.date.issued2022-11
dc.description.abstractIn this study, we examine the connection between geopolitical risk (GPR) and stock market volatility in emerging economies. Our motivation for this study is premised on the need to assess both the predictability and the associated economic gains in relation to the subject in order to offer more useful insights to investors and practitioners. To the best of our knowledge, this is the first study that jointly considers these objectives. Consequently, we employ the GARCH-MIDAS framework which accommodates mixed data frequencies thereby circumventing information loss or any associated bias. We find that emerging stock market volatility responds more positively to geopolitical risks although the act-related GPR index offers better out-of-sample forecasts than the threat-related GPR. We also find that accounting for global economic factors in the predictability analysis is crucial for robust outcomes. Finally, we provide some utility gains of including GPR in the predictive model of stock market volatility while also highlighting some useful implications of our findings for investment and policy decisions.en_US
dc.description.departmentEconomicsen_US
dc.description.librarianhj2023en_US
dc.description.urihttps://www.elsevier.com/locate/najefen_US
dc.identifier.citationSalisu, A.A., Ogbonna, A.E., Lasisi, L. et al. 2022, 'Geopolitical risk and stock market volatility in emerging markets: a GARCH–MIDAS approach', The North American Journal of Economics and Finance, vol. 62, art. 101755, pp. 1-19, doi : 10.1016/j.najef.2022.101755.en_US
dc.identifier.issn1062-9408 (print)
dc.identifier.issn1879-0860 (online)
dc.identifier.other10.1016/j.najef.2022.101755
dc.identifier.urihttps://repository.up.ac.za/handle/2263/88957
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was submitted 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 are not reflected in this document. A definitive version was subsequently published in North American Journal of Economics and Finance, vol. 62, art. 101755, pp. 1-19, 2022, doi : 10.1016/j.najef.2022.101755.en_US
dc.subjectGeopolitical risks (GPRs)en_US
dc.subjectStock market volatilityen_US
dc.subjectEmerging marketsen_US
dc.subjectGARCH-MIDASen_US
dc.subjectVolatility of emerging markets (VEM)en_US
dc.subjectGeneralized autoregressive conditional heteroskedasticity (GARCH)en_US
dc.subjectMixed data sampling (MIDAS)en_US
dc.titleGeopolitical risk and stock market volatility in emerging markets : a GARCH–MIDAS approachen_US
dc.typePreprint Articleen_US

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