Adaptive market hypothesis

dc.contributor.author Pinar Evrim-Mandaci
dc.contributor.author Dilvin Taşkın
dc.contributor.author Zeliha Can Ergün
dc.contributor.author Ergün, Zeliha Can
dc.contributor.author Mandaci, Pinar Evrim
dc.contributor.author Taşkin, F. Dilvin
dc.date.accessioned 2025-10-06T17:51:32Z
dc.date.issued 2019
dc.description.abstract Purpose: To investigate the implications of the Addaptive Market Hypothesis (AMH) on Turkish stock exchange market (Borsa Istanbul) indices as an emerging economy. BIST-100 BIST-30 and BIST-All indices are subjected to the analyses for the period between January 2002 and April 2017. Design/Methodology/Approach: Two-year rolling windows and daily test values were calculated by using linear methods (Variance Ratio Test) and nonlinear methods (BDS test) to investigate the market efficiency. Findings: According to the Variance Ratio Test results index returns are unpredictable that is the market is efficient while the results of nonlinear analysis show the existence of adaptive market hypothesis. In particular all three indices display efficiency in the 2013-2016 period implying that returns were not predictable in this period. The results of the non-linear analysis show that the market is efficient from time to time and sometimes deviates from efficiency indicating the validity of the adaptive market hypothesis in Borsa Istanbul. Practical Implications: The changes in the market efficiency from time to time should be considered while taking important investment decisions. Moreover according to AMH since trends panics bubbles and crashes exist in the market arbitrage opportunities arise time to time and market timing is an important issue to catch the profit opportunities. Therefore as a further study matching the important events with the efficiency of the market could provide more insights about timing the market. Originality/Value: To the best of authors' knowledge this is the first comprehensive study that examines the index based AMH in Borsa Istanbul. This study is believed to contribute to the literature by giving insights about the evolution of market efficiency in Turkey. © 2020 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.35808/ijeba/333
dc.identifier.issn 22414754
dc.identifier.issn 2241-4754
dc.identifier.scopus 2-s2.0-85077882639
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077882639&doi=10.35808%2Fijeba%2F333&partnerID=40&md5=4971da5d450024179c72a0dc3e5cdd0e
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9465
dc.identifier.uri https://doi.org/10.35808/ijeba/333
dc.language.iso English
dc.publisher International Strategic Management Association thalassi@unipi.gr
dc.relation.ispartof International Journal of Economics and Business Administration
dc.rights info:eu-repo/semantics/openAccess
dc.source International Journal of Economics and Business Administration
dc.subject Adaptive Market Hypothesis, Behavioral Finance, Efficient Market Hypothesis, Market Efficiency, Stock Markets
dc.subject Efficient Market Hypothesis
dc.subject Behavioral Finance
dc.subject Adaptive Market Hypothesis
dc.subject Stock Markets
dc.subject Market Efficiency
dc.title Adaptive market hypothesis
dc.type Article
dspace.entity.type Publication
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gdc.description.department
gdc.description.departmenttemp [Mandaci P.E.] Department of Business Administration, Faculty of Business, Dokuz Eylul University, Turkey, University at Albany (SUNY), Center for Institutional Investment Management, Massry Center for Business, 1400 Washington Avenue, Albany, NY, United States; [Taşkin F.D.] Department of Business Administration, Faculty of Business, Yaşar University, Turkey; [Ergün Z.C.] Department of International Trade and Business, Faculty of Business, Adnan Menderes University, Turkey
gdc.description.endpage 101
gdc.description.issue 4
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 84
gdc.description.volume VII
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gdc.virtual.author Mandaci, Pinar Evrim
gdc.virtual.author Taşkin Yeşilova, Fatma Dilvin
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person.identifier.scopus-author-id Evrim-Mandaci- Pinar (44861244200), Taşkın- Dilvin (57199073908), Can Ergün- Zeliha (57196176096)
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