Volatility options in rough volatility models

Blanka Horvath, Antoine Jacquier, Peter Tankov

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

We discuss the pricing and hedging of volatility options in some rough volatility models. First, we develop efficient Monte Carlo methods and asymptotic approximations for computing option prices and hedge ratios in models where log volatility follows a Gaussian Volterra process. While providing a good fit for European options, these models are unable to reproduce the VIX option smile observed in the market and are thus not suitable for VIX products. To accommodate these, we introduce the class of modulated Volterra processes and show that they successfully capture the VIX smile.

Original languageEnglish
Pages (from-to)437-469
Number of pages33
JournalSIAM Journal on Financial Mathematics
Volume11
Issue number2
DOIs
StatePublished - 2020
Externally publishedYes

Keywords

  • Monte Carlo
  • Rough volatility
  • VIX smile
  • Volterra process

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