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

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dc.contributor.author Salisu, Afees A.
dc.contributor.author Ogbonna, Ahamuefula E.
dc.contributor.author Lasisi, Lukman
dc.contributor.author Olaniran, Abeeb
dc.date.accessioned 2023-01-25T12:17:51Z
dc.date.available 2023-01-25T12:17:51Z
dc.date.issued 2022-11
dc.description.abstract In 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.department Economics en_US
dc.description.librarian hj2023 en_US
dc.description.uri https://www.elsevier.com/locate/najef en_US
dc.identifier.citation Salisu, 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.issn 1062-9408 (print)
dc.identifier.issn 1879-0860 (online)
dc.identifier.other 10.1016/j.najef.2022.101755
dc.identifier.uri https://repository.up.ac.za/handle/2263/88957
dc.language.iso en en_US
dc.publisher Elsevier en_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.subject Geopolitical risks (GPRs) en_US
dc.subject Stock market volatility en_US
dc.subject Emerging markets en_US
dc.subject GARCH-MIDAS en_US
dc.subject Volatility of emerging markets (VEM) en_US
dc.subject Generalized autoregressive conditional heteroskedasticity (GARCH) en_US
dc.subject Mixed data sampling (MIDAS) en_US
dc.title Geopolitical risk and stock market volatility in emerging markets : a GARCH–MIDAS approach en_US
dc.type Preprint Article en_US


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