The information content of the volatility index options trading volume
Chen Gu,
Xu Guo,
Alexander Kurov and
Raluca Stan
Journal of Futures Markets, 2022, vol. 42, issue 9, 1721-1737
Abstract:
This paper investigates the predictive content of the Volatility Index (VIX) options trading volume for the future dynamics of the underlying VIX index. Using a novel data set from the Chicago Board Options Exchange, we calculate the put–call ratio based on the VIX option volume initiated by buyers to open new positions. We show that the put–call ratio negatively predicts the subsequent changes in the VIX index. The predictability is stronger during periods of elevated VIX levels and for short‐dated contracts. These results support the hypothesis that informed traders use the VIX option market as a venue for their trading.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/fut.22297
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:42:y:2022:i:9:p:1721-1737
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 ().