Measuring Dependence Between Electricity Consumption and Economic Indicators Via Copulas: Turkish Case

dc.authoridSelcuk-Kestel, Ayse Sevtap/0000-0001-5647-7973
dc.authoridYozgatligil, Ceylan/0000-0003-3492-0510
dc.authorscopusid57205057526
dc.authorscopusid6507362092
dc.authorscopusid56910262500
dc.authorwosidYozgatligil, Ceylan/AAZ-6101-2020
dc.authorwosidEvkaya, Ozan/B-2183-2019
dc.authorwosidSelcuk-Kestel, Ayse Sevtap/K-1221-2017
dc.contributor.authorEvkaya, O. Ozan
dc.contributor.authorYozgatligil, Ceylan
dc.contributor.authorSelcuk-Kestel, A. Sevtap
dc.contributor.otherMathematics
dc.date.accessioned2024-10-06T10:58:32Z
dc.date.available2024-10-06T10:58:32Z
dc.date.issued2018
dc.departmentAtılım Universityen_US
dc.department-temp[Evkaya, O. Ozan] Atilim Univ, Dept Math, TR-06836 Ankara, Turkey; [Yozgatligil, Ceylan] Middle East Tech Univ, Dept Stat, TR-06800 Ankara, Turkey; [Selcuk-Kestel, A. Sevtap] Middle East Tech Univ, Inst Appl Math, TR-06800 Ankara, Turkeyen_US
dc.descriptionSelcuk-Kestel, Ayse Sevtap/0000-0001-5647-7973; Yozgatligil, Ceylan/0000-0003-3492-0510en_US
dc.description.abstractThis paper implements copulas to identify the dependence structure between electricity consumption and its cofounding indicators. To achieve this, Turkish electricity demand, its economic and sectoral indicators are taken into account. As a first step, bivariate copulas are used to identify the best fitting copula and the degree of the dependence. Thereafter, multivariate model is established using vine copulas using highly correlated variables. The empirical results confirm the added value of the proposed approach in determining numerous tail properties. We indicate that the copulas are useful to underline, especially, the tail properties of indicators in the market for decision makers.en_US
dc.description.sponsorshipMiddle East Technical University; [BAP 07-05-2016-001]en_US
dc.description.sponsorshipThis study is granted by Scientific Research Project (BAP 07-05-2016-001). Authors thank Middle East Technical University for the support given by BAP project during the research.en_US
dc.description.woscitationindexEmerging Sources Citation Index
dc.identifier.citationcount0
dc.identifier.endpage1296en_US
dc.identifier.issn2147-1762
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85058405266
dc.identifier.scopusqualityQ3
dc.identifier.startpage1284en_US
dc.identifier.trdizinid324205
dc.identifier.urihttps://search.trdizin.gov.tr/en/yayin/detay/324205/measuring-dependence-between-electricity-consumption-and-economic-indicators-via-copulas-turkish-case
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8916
dc.identifier.volume31en_US
dc.identifier.wosWOS:000452028700022
dc.institutionauthorEvkaya, Ömer Ozan
dc.language.isoenen_US
dc.publisherGazi Univen_US
dc.relation.ispartofGazi University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount0
dc.subjectElectricity demanden_US
dc.subjectEconomic indicatorsen_US
dc.subjectSectorial indicatorsen_US
dc.subjectBivariate Copulasen_US
dc.subjectVinesen_US
dc.titleMeasuring Dependence Between Electricity Consumption and Economic Indicators Via Copulas: Turkish Caseen_US
dc.typeArticleen_US
dc.wos.citedbyCount1
dspace.entity.typePublication

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