Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

No Low Volatility Effect in Low Volatility Market

Full metadata record
DC Field Value Language
dc.contributor.authorJeong, Hyeon-Jong-
dc.contributor.authorKang, Hyoung Goo-
dc.date.accessioned2022-07-15T22:17:54Z-
dc.date.available2022-07-15T22:17:54Z-
dc.date.created2021-05-13-
dc.date.issued2015-06-
dc.identifier.issn1229-2354-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157022-
dc.description.abstractLow volatility effect or low volatility anomaly has been well documented in recent empirical studies. Stocks with recent high volatility have shown low future average returns across the world. These findings were not only economically but also statistically meaningful. This paper tries to find more insight on the low volatility effect focusing on the relationship between low volatility effect and volatility level of equity market. Major findings in this paper are as follows: Low volatility effect exists in the Korean stock market. However, low volatility effect is not significant when volatility level of the stock market is low. The low volatility effect exists only in period of above average market volatility and disappears in times of below average market volatility which implies "No low volatility effect in low volatility market". In regression analysis, we construct zero-cost portfolio which takes long position in the lowest volatility portfolio and short position in the highest volatility portfolio. Volatility level of stock market has a positive relationship with returns from zero-cost portfolio and explains abnormal returns uncaptured by 3 factor model.-
dc.language영어-
dc.language.isoen-
dc.publisher한국자료분석학회-
dc.titleNo Low Volatility Effect in Low Volatility Market-
dc.typeArticle-
dc.contributor.affiliatedAuthorKang, Hyoung Goo-
dc.identifier.bibliographicCitationJournal of The Korean Data Analysis Society, v.17, no.3, pp.1225 - 1233-
dc.relation.isPartOfJournal of The Korean Data Analysis Society-
dc.citation.titleJournal of The Korean Data Analysis Society-
dc.citation.volume17-
dc.citation.number3-
dc.citation.startPage1225-
dc.citation.endPage1233-
dc.type.rimsART-
dc.identifier.kciidART002003322-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorAnomaly-
dc.subject.keywordAuthorIdiosyncratic volatility-
dc.subject.keywordAuthorExpected return-
dc.subject.keywordAuthorLow volatility effect-
dc.identifier.urlhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002003322-
Files in This Item
Go to Link
Appears in
Collections
서울 경영대학 > 서울 파이낸스경영학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kang, Hyoung Goo photo

Kang, Hyoung Goo
SCHOOL OF BUSINESS (DEPARTMENT OF FINANCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE