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DETERMINING THE VALUE OF DOUBLE BARRIER OPTION USING STANDARD MONTE CARLO, ANTITHETIC VARIATE, AND CONTROL VARIATE METHODS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 1017–1026

DOI
10.30598/barekengvol17iss2pp1017-1026
ISSN
2615-3017, 1978-7227
Published
2023-06-11
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In this paper, we applied the standard Monte Carlo, antithetic variate, and control variates methods to value the double barrier knock-in option price. The underlying asset used in the calculation of double barrier knock-in option is the share of ANTM from April 1, 2019 until March 1, 2022. The value of the double barrier knock-in option is simulated using standard Monte Carlo, antithetic variate, and control variates methods. The results showed that all the methods converge to the exact solution, with the control variate method to be the fastest. Standard Monte Carlo method has the least computational time, followed by control variate and antithetic variate method. Compared to the other methods, control variate is the most effective and efficient in determining the value of double barrier knock-in option, based on the option value, relative error and computational time. Antithetic variate method converges faster to the exact solution compared to standard Monte Carlo. However it has the longest computation time compared to the other methods.

Collaboration network of the authors

23 authors · 39 co-authorship links

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Co-authorOrganisationJoint articles
I Gusti Putu PurnabaAffiliation unknown2
Komang Nonik Afsari DewiAffiliation unknown2
Sanfriska Br SitepuAffiliation unknown2
Vivin Aprilia ManjaruniAffiliation unknown1
Salsabilla RahmahAffiliation unknown1
Siti NurjanahAffiliation unknown1
Reza Tri Ahmad RamadhanAffiliation unknown1
Vanaya Syahira DharmawanAffiliation unknown1
Natallia ChristinaAffiliation unknown1
Ravy Ardian KusumaAffiliation unknown1
Siti Salwa NabilaAffiliation unknown1
Ika Reskiana AdrianiAffiliation unknown1
I Wayan MangkuAffiliation unknown1
Mohamad Khoirun NajibAffiliation unknown1
Alfi KhairiatiAffiliation unknown1
Dicky MardiansyahAffiliation unknown1
Fernando Alonso SitorusAffiliation unknown1
Olivia Putri MustafaAffiliation unknown1
Nabilah Putri Noor FaizahAffiliation unknown1
Nur AgustianiAffiliation 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">DETERMINING THE VALUE OF DOUBLE BARRIER OPTION USING STANDARD MONTE CARLO, ANTITHETIC VARIATE, AND CONTROL VARIATE METHODS</dc:title>
	<dc:creator>Silalahi, Romaito Br</dc:creator>
	<dc:creator>Lesmana, Donny Citra</dc:creator>
	<dc:creator>Budiarti, Retno</dc:creator>
	<dc:description xml:lang="en-US">In this paper, we applied the standard Monte Carlo, antithetic variate, and control variates methods to value the double barrier knock-in option price. The underlying asset used in the calculation of double barrier knock-in option is the share of ANTM from April 1, 2019 until March 1, 2022. The value of the double barrier knock-in option is simulated using standard Monte Carlo, antithetic variate, and control variates methods. The results showed that all the methods converge to the exact solution, with the control variate method to be the fastest. Standard Monte Carlo method has the least computational time, followed by control variate and antithetic variate method. Compared to the other methods, control variate is the most effective and efficient in determining the value of double barrier knock-in option, based on the option value, relative error and computational time. Antithetic variate method converges faster to the exact solution compared to standard Monte Carlo. However it has the longest computation time compared to the other methods.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-06-11</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/8066</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss2pp1017-1026</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1017-1026</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss2year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8066/5963</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Romaito Br Silalahi, Donny Citra Lesmana, Retno Budiarti</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>