A scaled version of the double-mean-reverting model for VIX derivatives

Jeonggyu Huh, Jaegi Jeon, Jeong Hoon Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


As the Heston model is not consistent with VIX data in real market well enough, alternative stochastic volatility models including the double-mean-reverting model of Gatheral (in: Bachelier Congress, 2008) have been developed to overcome its limitation. The double-mean-reverting model is a three factor model successfully reflecting the empirical dynamics of the variance but there is no closed form solution for VIX derivatives and SPX options and thus calibration using conventional techniques may be slow. In this paper, we propose a fast mean-reverting version of the double-mean-reverting model. We obtain a closed form approximation for VIX derivatives and show how it is effective by comparing it with the Heston model and the double-mean-reverting model.

Original languageEnglish
Pages (from-to)495-515
Number of pages21
JournalMathematics and Financial Economics
Issue number4
Publication statusPublished - 2018 Sept 1

Bibliographical note

Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Finance
  • Statistics, Probability and Uncertainty


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