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Open access Jurnal SINTA 3

VALUE AT RISK ANALYSIS ON BLUE CHIP STOCKS PORTFOLIO WITH GAUSSIAN COPULA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 3 (2023) · pp. 1739–1748

DOI
10.30598/barekengvol17iss3pp1739-1748
ISSN
2615-3017, 1978-7227
Published
2023-09-30
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Value at Risk (VaR) is a risk measurement tool to calculate the estimated maximum investment loss with a certain confidence level and period. VaR calculations using financial data are often not normally distributed, so the copula method is used, which is flexible on the assumption of normality on stock return data. Previous research discussed Gaussian copula using stocks from the telecommunications sector. In this research, using Gaussian copula on Blue Chip stocks. Blue Chip stocks have a good reputation and have a stable growth rate so they have a lower risk. Therefore, the research objective is to analyze the VaR portfolio of Blue Chip stock with Gaussian copula. This research uses the daily stock closing prices of BBNI and BBTN from November 2, 2020 to October 27, 2022. The analysis results suggested that a VaR portfolio using Gaussian copula with a confidence level of 90%, 95%, and 99%, respectively are 2.24%, 2.88%, and 4.02%. The value shows the percentage of investment risk that may be obtained in the next one-day period. This result also indicates that the higher the confidence level, the greater the VaR.

Collaboration network of the authors

40 authors · 100 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Hendra PerdanaAffiliation unknown13
Wirda AndaniAffiliation unknown7
Ray TamtamaAffiliation unknown5
Shantika MarthaAffiliation unknown3
Siti AprizkiyandariAffiliation unknown2
Indah OktavianiAffiliation unknown2
Dinda TiaraAffiliation unknown2
Aditya Nugraha PratamaAffiliation unknown2
Ainun ZakiahAffiliation unknown2
Noerul HaninAffiliation unknown2
David Jordy DhandioAffiliation unknown2
Dadan KusnandarAffiliation unknown1
Geby MarolaAffiliation unknown1
Hani Dwi RetnaniAffiliation unknown1
Inggriani Millennia TaralyAffiliation unknown1
Rita ApriliyantiAffiliation unknown1
Steven Jansen SinagaAffiliation unknown1
Maria Welita DwinandaAffiliation unknown1
Widad ImtiyazAffiliation unknown1
Lisa LestariAffiliation unknown1
Fritzgerald Muhammad ArsyiAffiliation unknown1
Naomi Nessyana DebatarajaAffiliation unknown1
Nurfitri Imro'ahAffiliation unknown1
Herina MarlisaAffiliation unknown1
Rifkah Alfiyyah SaryAffiliation unknown1
Wiji UmiatiAffiliation unknown1
Della ZariaAffiliation unknown1
Muhammad FauzanAffiliation unknown1
Nabila Izza HarnantaAffiliation unknown1
Hendri AgustonoAffiliation unknown1
Rifki PebriyandiAffiliation unknown1
Risky GunawanAffiliation unknown1
Cinta Priscillia MaharaniAffiliation unknown1
Hairil Al-HamAffiliation unknown1
Preatin PreatinAffiliation unknown1
Nurhanifa NurhanifaAffiliation unknown1
Louis Putra JayaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">VALUE AT RISK ANALYSIS ON BLUE CHIP STOCKS PORTFOLIO WITH GAUSSIAN COPULA</dc:title>
	<dc:creator>Ardhitha, Tiffany</dc:creator>
	<dc:creator>Sulistianingsih, Evy</dc:creator>
	<dc:creator>Satyahadewi, Neva</dc:creator>
	<dc:description xml:lang="en-US">Value at Risk (VaR) is a risk measurement tool to calculate the estimated maximum investment loss with a certain confidence level and period. VaR calculations using financial data are often not normally distributed, so the copula method is used, which is flexible on the assumption of normality on stock return data. Previous research discussed Gaussian copula using stocks from the telecommunications sector. In this research, using Gaussian copula on Blue Chip stocks. Blue Chip stocks have a good reputation and have a stable growth rate so they have a lower risk. Therefore, the research objective is to analyze the VaR portfolio of Blue Chip stock with Gaussian copula. This research uses the daily stock closing prices of BBNI and BBTN from November 2, 2020 to October 27, 2022. The analysis results suggested that a VaR portfolio using Gaussian copula with a confidence level of 90%, 95%, and 99%, respectively are 2.24%, 2.88%, and 4.02%. The value shows the percentage of investment risk that may be obtained in the next one-day period. This result also indicates that the higher the confidence level, the greater the VaR.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-09-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9030</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss3pp1739-1748</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1739-1748</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss3year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9030/6587</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Tiffany Ardhitha, Evy Sulistianingsih, Neva Satyahadewi</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>