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Market Anomalies in the Korean Stock Market

Authors
Han, MinyeonLee, Dong-HyunKang, Hyoung-Goo
Issue Date
Jun-2020
Publisher
한국파생상품학회
Keywords
Data Mining; Anomaly; Factors; Microcap Stocks; Tactical Asset Allocation
Citation
선물연구, v.28, no.2, pp.159 - 228
Indexed
KCI
Journal Title
선물연구
Volume
28
Number
2
Start Page
159
End Page
228
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9721
DOI
10.1108/JDQS-03-2020-0004
ISSN
1229-988X
Abstract
We 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.
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