SUSTAINABLE RISK MANAGEMENT: FUZZY APPROACH TO VOLATILITY AND APPLICATION ON FTSE 100 INDEX

dc.contributor.author Sinem Peker
dc.contributor.author Manuela Tvaronaviciene
dc.contributor.author Bora Aktan
dc.contributor.author Peker, Sinem
dc.contributor.author Aktan, Bora
dc.contributor.author Tvaronaviciene, Manuela
dc.date SEP
dc.date.accessioned 2025-10-06T16:22:35Z
dc.date.issued 2014
dc.description.abstract In this paper a fuzzy volatility labeling algorithm is offered to detect the periods with abnormal activities on daily share returns. Considering the vagueness in the switches of the time periods the membership functions of high and normal volatility classes are introduced. In the assignments both the density structure and membership degree are used. It is believed that this algorithm may be helpful to construct different estimation models for the time periods with normal and abnormal activities. Authors offer algorithm which can be used as a tool for sustainable risk management.
dc.identifier.doi 10.9770/jesi.2014.2.1(4)
dc.identifier.issn 2345-0282
dc.identifier.uri http://dx.doi.org/10.9770/jesi.2014.2.1(4)
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7426
dc.identifier.uri https://doi.org/10.9770/jesi.2014.2.1(4)
dc.language.iso English
dc.publisher ENTERPRENEURSHIP & SUSTAINABILITY CENTER
dc.relation.ispartof Entrepreneurship and Sustainability Issues
dc.rights info:eu-repo/semantics/openAccess
dc.source ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES
dc.subject volatility, FTSE, clustering, fuzzy number, labeling
dc.subject FTSE
dc.subject Clustering
dc.subject Volatility
dc.subject Labeling
dc.subject Fuzzy Number
dc.title SUSTAINABLE RISK MANAGEMENT: FUZZY APPROACH TO VOLATILITY AND APPLICATION ON FTSE 100 INDEX
dc.type Article
dspace.entity.type Publication
gdc.author.wosid Kara Peker, Sinem/AAT-1543-2020
gdc.author.wosid Tvaronaviciene, Manuela/GVT-4155-2022
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gdc.description.department
gdc.description.departmenttemp [Peker, Sinem] Yasar Univ, Dept Stat, Univ Caddesi 35-37,Agacli Yol,Bornova, TR-35100 Izmir, Turkey; [Tvaronaviciene, Manuela] Vilnius Gediminas Tech Univ, Business Management Fac, LT-10223 Vilnius, Lithuania; [Aktan, Bora] Univ Bahrain, Coll Business Adm, Dept Econ & Finance, Isa Town, Bahrain
gdc.description.endpage 36
gdc.description.issue 1
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 30
gdc.description.volume 2
gdc.description.woscitationindex Emerging Sources Citation Index
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gdc.oaire.isgreen true
gdc.oaire.keywords Environmental sciences
gdc.oaire.keywords Technological innovations. Automation
gdc.oaire.keywords Fuzzy numbe
gdc.oaire.keywords Labeling
gdc.oaire.keywords Volatility
gdc.oaire.keywords HD45-45.2
gdc.oaire.keywords GE1-350
gdc.oaire.keywords FTSE
gdc.oaire.keywords Clustering
gdc.oaire.popularity 8.862866E-10
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gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
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gdc.opencitations.count 8
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gdc.virtual.author Peker, Sinem
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person.identifier.orcid Tvaronaviciene- Manuela/0000-0002-9667-3730,
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