Shapes of implied volatility with positive mass at zero
Stefano De Marco (),
Caroline Hillairet () and
Antoine Jacquier ()
Additional contact information
Stefano De Marco: CMAP; Ecole Polytechnique
Caroline Hillairet: CREST; Ensae; Université Paris Saclay
Antoine Jacquier: Imperial College London
No 2017-77, Working Papers from Center for Research in Economics and Statistics
Abstract:
We study the shapes of the implied volatility when the underlying distribution has an atom at zero. We show that the behaviour at small strikes is uniquely determined by the mass of the atom at least up to the third asymptotic order, regardless of the properties of the remaining (absolutely continuous, or singular) distribution on the positive real line. We investigate the structural difference with the no-mass-at-zero case, showing how one can—a priori—distinguish between mass at the origin and a heavy-left-tailed distribution. An atom at zero is found in stochastic models with absorption at the boundary, such as the CEV process, and can be used to model default events, as in the class of jump-to-default structural models of credit risk. We numerically test our model-free result in such examples. Note that while Lee’s moment formula [21] tells that implied variance is at most asymptotically linear in log-strike, other celebrated results for exact smile asymptotics such as [2, 14] do not apply in this setting essentially due to the breakdown of Put-Call symmetry—and we rely here on an alternative treatment of the problem.
Keywords: Atomic distribution; heavy-tailed distribution; Implied Volatility; smile asymptotics; absorption at zero; CEV model (search for similar items in EconPapers)
Pages: 24 pages
Date: 2017-10-03
New Economics Papers: this item is included in nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://crest.science/RePEc/wpstorage/2017-77.pdf CREST working paper version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:crs:wpaper:2017-77
Access Statistics for this paper
More papers in Working Papers from Center for Research in Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Murielle Jules Maintainer-Email : murielle.jules@ensae.Fr.