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Journal of Futures Markets
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Pricing VXX Options With Observable Volatility Dynamics From High‐Frequency VIX Index

Authors: Shan Lu;

Pricing VXX Options With Observable Volatility Dynamics From High‐Frequency VIX Index

Abstract

ABSTRACTThis paper develops a discrete‐time joint analytical framework for pricing volatility index (VIX) and VXX options consistently. We show that our framework is more flexible than continuous‐time VXX models as it allows the information contained in the high‐frequency VIX index to be incorporated for the joint pricing of VIX and VXX options, and the joint pricing formula is derived. Our empirical analysis shows that the model that utilizes the realized variance (RV) computed from the high‐frequency VIX index data significantly outperforms the model that does not rely on the VIX RV in the joint pricing both in‐sample and out‐of‐sample, reinforcing the beliefs that high‐frequency data are informative about the derivatives pricing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid