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

dc.authorid Selcuk-Kestel, Ayse Sevtap/0000-0001-5647-7973
dc.authorid Yozgatligil, Ceylan/0000-0003-3492-0510
dc.authorscopusid 57205057526
dc.authorscopusid 6507362092
dc.authorscopusid 56910262500
dc.authorwosid Yozgatligil, Ceylan/AAZ-6101-2020
dc.authorwosid Evkaya, Ozan/B-2183-2019
dc.authorwosid Selcuk-Kestel, Ayse Sevtap/K-1221-2017
dc.contributor.author Evkaya, O. Ozan
dc.contributor.author Yozgatligil, Ceylan
dc.contributor.author Selcuk-Kestel, A. Sevtap
dc.contributor.other Mathematics
dc.date.accessioned 2024-10-06T10:58:32Z
dc.date.available 2024-10-06T10:58:32Z
dc.date.issued 2018
dc.department Atılım University en_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, Turkey en_US
dc.description Selcuk-Kestel, Ayse Sevtap/0000-0001-5647-7973; Yozgatligil, Ceylan/0000-0003-3492-0510 en_US
dc.description.abstract This 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.sponsorship Middle East Technical University; [BAP 07-05-2016-001] en_US
dc.description.sponsorship This 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.woscitationindex Emerging Sources Citation Index
dc.identifier.citationcount 0
dc.identifier.endpage 1296 en_US
dc.identifier.issn 2147-1762
dc.identifier.issue 4 en_US
dc.identifier.scopus 2-s2.0-85058405266
dc.identifier.scopusquality Q3
dc.identifier.startpage 1284 en_US
dc.identifier.trdizinid 324205
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/324205/measuring-dependence-between-electricity-consumption-and-economic-indicators-via-copulas-turkish-case
dc.identifier.uri https://hdl.handle.net/20.500.14411/8916
dc.identifier.volume 31 en_US
dc.identifier.wos WOS:000452028700022
dc.institutionauthor Evkaya, Ömer Ozan
dc.language.iso en en_US
dc.publisher Gazi Univ en_US
dc.relation.ispartof Gazi University Journal of Science en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Electricity demand en_US
dc.subject Economic indicators en_US
dc.subject Sectorial indicators en_US
dc.subject Bivariate Copulas en_US
dc.subject Vines en_US
dc.title Measuring Dependence Between Electricity Consumption and Economic Indicators Via Copulas: Turkish Case en_US
dc.type Article en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication

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