Synthetic long stock and option trading: Evidence from stock splits
Yifan Liu and
Louis R. Piccotti
Journal of Financial Research, 2025, vol. 48, issue 1, 321-350
Abstract:
We theoretically and empirically identify synthetic long stock as an alternative driver of option trading. Our model proves that the use of synthetic long stocks by capital‐constrained traders contributes to at‐the‐money (ATM) option trading. Using an event study based on stock splits, we document empirical evidence consistent with the model's predictions. ATM option trading declines after stock splits, and these declines are more pronounced for stock splits with higher stock split factors and for more illiquid stocks but are less pronounced for more illiquid options. Our study implies that option trading can occur even without information or opinion dispersion.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/jfir.12404
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:bla:jfnres:v:48:y:2025:i:1:p:321-350
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0270-2592
Access Statistics for this article
Journal of Financial Research is currently edited by Jayant Kale and Gerald Gay
More articles in Journal of Financial Research from Southern Finance Association Contact information at EDIRC., Southwestern Finance Association Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().