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dc.contributor.author강형구-
dc.date.accessioned2022-02-08T07:41:58Z-
dc.date.available2022-02-08T07:41:58Z-
dc.date.issued2020-06-
dc.identifier.citation선물연구, v. 28, no. 2, page. 159-228en_US
dc.identifier.issn1229-988x-
dc.identifier.issn2713-6647-
dc.identifier.urihttps://kiss.kstudy.com/thesis/thesis-view.asp?key=3800251-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/167239-
dc.description.abstractWe replicate 148 anomalies to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, we observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have t-statistics that exceed 1.96. When we impose a higher threshold (an absolute value of t-statistics of 2.78), only 27.7% of the 148 anomalies survive. Second, microcaps have large impacts. Our results vary significantly depending on whether the sample included stocks in the KOSDAQ or not and whether value-weighted or equal-weighted portfolios are used. Our results suggest that data mining explains large portion of abnormal returns. Any tactical asset allocation strategies based on market anomalies should be applied very cautiously.en_US
dc.description.sponsorshipThis research was conducted with the support of the 2019 Korean Derivatives Association (sponsored by Mirae Asset Global Investments).en_US
dc.language.isoenen_US
dc.publisher한국파생상품학회en_US
dc.subjectData Miningen_US
dc.subjectAnomalyen_US
dc.subjectFactorsen_US
dc.subjectMicrocap Stocksen_US
dc.subjectTactical Asset Allocationen_US
dc.titleMarket Anomalies in the Korean Stock Marketen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume28-
dc.identifier.doi10.1108/JDQS-03-2020-0004-
dc.relation.page159-228-
dc.relation.journal선물연구-
dc.contributor.googleauthorHan, Minyeon-
dc.contributor.googleauthorLee, Dong-Hyun-
dc.contributor.googleauthorKang, Hyoung-Goo-
dc.relation.code2020039871-
dc.sector.campusS-
dc.sector.daehakSCHOOL OF BUSINESS[S]-
dc.sector.departmentDEPARTMENT OF FINANCE-
dc.identifier.pidhyoungkang-
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