DC FieldValueLanguage
dc.contributor.authorKallandranis, Christos-
dc.contributor.authorAljandali, Abdulkader-
dc.date.accessioned2024-03-04T20:15:03Z-
dc.date.available2024-03-04T20:15:03Z-
dc.date.issued2020-
dc.identifiergoogle_scholar-cnWOh0UAAAAJ:KlAtU1dfN6UC-
dc.identifier.issn2077-4303-
dc.identifier.othercnWOh0UAAAAJ:KlAtU1dfN6UC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1345-
dc.description.abstractDespite rising interest in African economies, there is little prior research on the determinants of exchange rate movements in the region. This paper examines the monthly exchange rates of the country members of the Southern African Development Community (SADC) from 1990 to 2010 inclusive. Long-run equilibrium exchange rate models are established, exchange rate determinants are identified, and ex-post forecasts are generated for a period of 18 months (Sekantsi, 2011). The autoregressive distributed lag (ARDL) cointegration model is used in this paper, given its statistical advantages over commonly, applied cointegration techniques. Findings show that the ARDL method generates accurate forecasts for eight out of 11 sampled exchange rates. In keeping with earlier literature (e.g., Redda & Muzindusti, 2017; Zerihun & Breitenbach, 2017; etc.), findings suggest that the chances of SADC member countries fulfilling the requirements of a currency union are quite low. This paper marks one of the first attempts in the literature to forecast exchange rates in SADC using the ARDL approach (Pesaran & Shin, 1995). The results would be of interest to policy-makers, researchers and investors.en_US
dc.language.isoenen_US
dc.publisherVirtus Interpressen_US
dc.relation.ispartofRisk Governance and Control: Financial Markets & Institutionsen_US
dc.sourceRisk Governance and Control: Financial Markets & Institutions 10 (2), 53-70, 2020-
dc.subjectAfrican economiesen_US
dc.subjectExchange ratesen_US
dc.subjectRegional integrationen_US
dc.subjectCointegrationen_US
dc.titleExchange rate modelling in the development community using the ARDL cointegration approach: the case of emerging marketsen_US
dc.typeArticleen_US
dc.identifier.doi10.22495/rgcv10i2p5en_US
dc.relation.deptDepartment of Accounting and Financeen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume10en_US
dc.relation.issue2en_US
dc.identifier.spage53en_US
dc.identifier.epage70en_US
dc.linkhttps://virtusinterpress.org/Exchange-rate-modelling-in-the-development-community-using-the-ARDL.htmlen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Accounting and Finance-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-2111-4448-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

Page view(s)

26
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.