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-statis...

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Main Authors: Minyeon Han, Dong-Hyun Lee, Hyoung-Goo Kang
Format: Article
Language:English
Published: Emerald Publishing 2020-11-01
Series:Seonmul yeongu
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JDQS-03-2020-0004/full/pdf?title=market-anomalies-in-the-korean-stock-market
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author Minyeon Han
Dong-Hyun Lee
Hyoung-Goo Kang
author_facet Minyeon Han
Dong-Hyun Lee
Hyoung-Goo Kang
author_sort Minyeon Han
collection DOAJ
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.
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spelling doaj.art-918206c9d4184501a62872ed664511352022-12-22T02:42:23ZengEmerald PublishingSeonmul yeongu1229-988X2713-66472020-11-0128235010.1108/JDQS-03-2020-0004648372Market anomalies in the Korean stock marketMinyeon Han0Dong-Hyun Lee1Hyoung-Goo Kang2Business School, Hanyang University, Seoul, Republic of KoreaBusiness School, Hanyang University, Seoul, Republic of KoreaBusiness School, Hanyang University, Seoul, Republic of KoreaThis 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.https://www.emerald.com/insight/content/doi/10.1108/JDQS-03-2020-0004/full/pdf?title=market-anomalies-in-the-korean-stock-marketdata mininganomalyfactormicrocap stockstactical asset allocation
spellingShingle Minyeon Han
Dong-Hyun Lee
Hyoung-Goo Kang
Market anomalies in the Korean stock market
Seonmul yeongu
data mining
anomaly
factor
microcap stocks
tactical asset allocation
title Market anomalies in the Korean stock market
title_full Market anomalies in the Korean stock market
title_fullStr Market anomalies in the Korean stock market
title_full_unstemmed Market anomalies in the Korean stock market
title_short Market anomalies in the Korean stock market
title_sort market anomalies in the korean stock market
topic data mining
anomaly
factor
microcap stocks
tactical asset allocation
url https://www.emerald.com/insight/content/doi/10.1108/JDQS-03-2020-0004/full/pdf?title=market-anomalies-in-the-korean-stock-market
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AT donghyunlee marketanomaliesinthekoreanstockmarket
AT hyounggookang marketanomaliesinthekoreanstockmarket