Large deviations and stochastic volatility with jumps: Asymptotic implied volatility for affine models

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Antoine Jacquier - , Imperial College London (Author)
  • Martin Keller-Ressel - , Technical University of Berlin (Author)
  • Aleksandar Mijatović - , Imperial College London (Author)

Abstract

Let denote the implied volatility at maturity t for a strike, where and is the current value of the underlying. We show that has a uniform (in x) limit as maturity t tends to infinity, given by the formula, for x in some compact neighbourhood of zero in the class of affine stochastic volatility models. Function is the convex dual of the limiting cumulant-generating function h of the scaled log-spot process. We express h in terms of the functional characteristics of the underlying model. The proof of the limiting formula rests on the large deviation behaviour of the scaled log-spot process as time tends to infinity. We apply our results to obtain the limiting smile for several classes of stochastic volatility models with jumps used in applications (e.g. Heston with state-independent jumps, Bates with state-dependent jumps and Barndorff-Nielsen-Shephard model).

Details

Original languageEnglish
Pages (from-to)321-345
Number of pages25
JournalStochastics
Volume85
Issue number2
Publication statusPublished - Apr 2013
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0003-0913-3363/work/167706911

Keywords

Keywords

  • affine processes, implied volatility in the large maturity limit, large deviation principle, stochastic volatility with jumps