OPEC news and exchange rate forecasting using dynamic Bayesian learning

dc.contributor.authorSheng, Xin
dc.contributor.authorGupta, Rangan
dc.contributor.authorSalisu, Afees A.
dc.contributor.authorBouri, Elie
dc.contributor.emailrangan.gupta@up.ac.zaen_US
dc.date.accessioned2022-08-16T07:48:56Z
dc.date.available2022-08-16T07:48:56Z
dc.date.issued2022-03
dc.description.abstractWe consider whether a newspaper article count index related to the organization of the petroleum exporting countries (OPEC), which rises in response to important OPEC meetings and events connected with OPEC production levels, contains predictive power for the foreign exchange rates of G10 countries. The applied Bayesian inference methodology synthesizes a wide array of established approaches to modelling exchange rate dynamics, whereby various vector-autoregressive models are considered. Monthly data from 1996:01 to 2020:08 (given an in-sample of 1986:02 to 1995:12), shows that incorporating the OPEC news-related index into the proposed methodology leads to statistical gains in out-of-sample forecasts.en_US
dc.description.departmentEconomicsen_US
dc.description.librarianhj2022en_US
dc.description.urihttp://www.elsevier.com/locate/frlen_US
dc.identifier.citationSheng, X., Gupta, R., Salisu, A.A. et al. 2022, 'OPEC news and exchange rate forecasting using dynamic Bayesian learning', Finance Research Letters, vol. 45, art. 102125, pp. 1-7, doi : 10.1016/j.frl.2021.102125.en_US
dc.identifier.issn1544-6123 (print)
dc.identifier.issn1544-6131 (online)
dc.identifier.other10.1016/j.frl.2021.102125
dc.identifier.urihttps://repository.up.ac.za/handle/2263/86793
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2021 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was submitted for publication in Finance Research Letters. 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 Finance Research Letters, vol. 45, art. 102125, pp. 1-7, 2022. doi : 10.1016/j.frl.2021.102125.en_US
dc.subjectOrganization of the petroleum exporting countries (OPEC)en_US
dc.subjectOpec newsen_US
dc.subjectExchange rate forecastingen_US
dc.subjectBayesian dynamic learningen_US
dc.titleOPEC news and exchange rate forecasting using dynamic Bayesian learningen_US
dc.typePreprint Articleen_US

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