Precise asymptotics: robust stochastic volatility models

Peter K. Friz, Paul Gassiat and Paolo Pigato

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Abstract: We present a new methodology to analyze large classes of (classical and rough) stochastic volatility models, with special regard to short-time and small noise formulae for option prices. Our main tool is the theory of regularity structures, which we use in the form of [Bayer et al; A regularity structure for rough volatility, 2017]. In essence, we implement a Laplace method on the space of models (in the sense of Hairer), which generalizes classical works of Azencott and Ben Arous on path space and then Aida, Inahama--Kawabi on rough path space. When applied to rough volatility models, e.g. in the setting of [Forde-Zhang, Asymptotics for rough stochastic volatility models, 2017], one obtains precise asymptotic for European options which refine known large deviation asymptotics.

Date: 2018-11, Revised 2020-11
New Economics Papers: this item is included in nep-ets
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Published in [v2] published in Ann. Appl. Proba. (2021)

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1811.00267

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