前进差异模型中的VIX选项的波动性扩大
Implied Volatility Expansions for VIX Options in Forward Variance Models
作者
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Ying Liao | Ankush Agarwal | Florian Bourgey
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2026
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Abstract
We develop closed-form expansions for the implied volatility of VIX options within the class of forward variance models. Our approach builds on weak-approximation techniques for VIX option prices and yields explicit implied volatility expansions with computable correction terms. The resulting formulas enable fast and accurate calibration without requiring numerical root-finding. We illustrate the performance of the proposed expansions in both standard and rough Bergomi-type models, as well as in mixed specifications, and demonstrate their accuracy through numerical experiments.
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