Left-tail momentum and tail properties of return distributions: A case of Korea
Cheoljun Eom,
Yunsung Eom and
Jong Won Park
International Review of Financial Analysis, 2023, vol. 87, issue C
Abstract:
This study documents the importance of considering the cross-sectional differences in the tail properties of stocks' return distributions when analyzing the left-tail momentum (LTM) phenomenon. This phenomenon is verified in the Korean stock markets, which shows that stocks showing large losses in the past tend to continue to perform poorly in the future. However, when tail fatness (TF), measured using standardized return distributions, is considered, the LTM phenomenon is significant only in the low-TF stock group. This means that investors underestimate the persistence of left-tail risk only for stocks with a low frequency of large losses, and not for all stocks that show large losses. The results of the measurement of tail risk (TR) reaffirm the positive relationship with expected returns, which shows that the existence of LTM is verified only in the low-TR stock group, suggesting a need for caution in interpreting the LTM phenomenon with low TR as a market anomaly.
Keywords: Left-tail momentum; Tail property; Tail-fatness; Tail risk; Standardized return distribution (search for similar items in EconPapers)
JEL-codes: G10 G11 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521923000868
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:87:y:2023:i:c:s1057521923000868
DOI: 10.1016/j.irfa.2023.102570
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().