Herd behaviors in index futures trading: Driving factors and impact on market volatility
Ming‐Hung Wu,
Wan‐Ting Hu and
Pei‐Shih Weng
Journal of Futures Markets, 2023, vol. 43, issue 10, 1373-1392
Abstract:
This study analyzes market index futures data on the Taiwan Futures Exchange to explore herd trading behaviors and their impact on the market. The study finds that herd behaviors are prevalent in all trading directions and that investor sentiment is a more direct explanation than information chasing. Herding in intraday trading increases market volatility on the same day but decreases it on the following day. Additional tests show that overnight trading has a weaker herding tendency and a less noticeable market correction on the following day, which can be attributed in part to the lower participation of retail traders in overnight sessions. The analysis using overnight trading reinforces the relevance of retail trading in explaining herd trading. Overall, the study offers new evidence and insights into herd behaviors in the derivatives market dominated by retail investors.
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/fut.22413
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:wly:jfutmk:v:43:y:2023:i:10:p:1373-1392
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0270-7314
Access Statistics for this article
Journal of Futures Markets is currently edited by Robert I. Webb
More articles in Journal of Futures Markets from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().