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Market anomalies in the Korean stock market
This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have t -stati...
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Published in: | Seonmul yeongu (Online) 2020, 28(2), , pp.159-228 |
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description | This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors 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 the authors 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. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The 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. |
doi_str_mv | 10.1108/JDQS-03-2020-0004 |
format | article |
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t
-statistics that exceed 1.96. When the authors 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. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The 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.</description><identifier>ISSN: 2713-6647</identifier><identifier>ISSN: 1229-988X</identifier><identifier>EISSN: 2713-6647</identifier><identifier>DOI: 10.1108/JDQS-03-2020-0004</identifier><language>eng</language><publisher>Bingley: Emerald Group Publishing Limited</publisher><subject>anomaly ; Asset allocation ; Data mining ; Derivatives ; factor ; Friction ; Institutional investments ; Investors ; microcap stocks ; Performance evaluation ; Portfolio management ; Statistics ; tactical asset allocation ; 경영학</subject><ispartof>선물연구, 2020, 28(2), , pp.159-228</ispartof><rights>Minyeon Han, Dong-Hyun Lee and Hyoung-Goo Kang. This work is published under https://creativecommons.org/licenses/by-nc/3.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-bc0fb31b1bd7392759f72d8358e672caac01f4f4fb515655d65d85ac34dd44033</citedby><cites>FETCH-LOGICAL-c345t-bc0fb31b1bd7392759f72d8358e672caac01f4f4fb515655d65d85ac34dd44033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2507089733/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2507089733?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,25753,27924,27925,36060,37012,44363,44590,74895,75126</link.rule.ids><backlink>$$Uhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002608852$$DAccess content in National Research Foundation of Korea (NRF)$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Minyeon</creatorcontrib><creatorcontrib>Lee, Dong-Hyun</creatorcontrib><creatorcontrib>Kang, Hyoung-Goo</creatorcontrib><title>Market anomalies in the Korean stock market</title><title>Seonmul yeongu (Online)</title><description>This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors 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 the authors 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. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The results suggest that data mining explains large portion of abnormal returns. 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t
-statistics that exceed 1.96. When the authors 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. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The 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.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/JDQS-03-2020-0004</doi><tpages>48</tpages><oa>free_for_read</oa></addata></record> |
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subjects | anomaly Asset allocation Data mining Derivatives factor Friction Institutional investments Investors microcap stocks Performance evaluation Portfolio management Statistics tactical asset allocation 경영학 |
title | Market anomalies in the Korean stock market |
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