2021
DOI: 10.1214/20-aap1608
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Precise asymptotics: Robust stochastic volatility models

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Cited by 27 publications
(55 citation statements)
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“…P. K. Friz & Hairer, 2014, Section 9.3), which, in turn, invites to revisit Davis and Mataix-Pastor (2007) in a setting of "rough" interest rate models. Another concrete application, content of the recent P. K. Friz, Gassiat, and Pigato (2018), concerns precise asymptotics, allowing for considerable refinement of large deviations. (Translated to financial terms, this improvement leads to higher order implied volatility expansions.…”
Section: Description Of Main Resultsmentioning
confidence: 99%
“…P. K. Friz & Hairer, 2014, Section 9.3), which, in turn, invites to revisit Davis and Mataix-Pastor (2007) in a setting of "rough" interest rate models. Another concrete application, content of the recent P. K. Friz, Gassiat, and Pigato (2018), concerns precise asymptotics, allowing for considerable refinement of large deviations. (Translated to financial terms, this improvement leads to higher order implied volatility expansions.…”
Section: Description Of Main Resultsmentioning
confidence: 99%
“…Jacquier, Pakkanen, and Stone [22] prove a large deviations principle for a scaled version of the log stock price process. In this same direction, Bayer, Friz, Gulisashvili, Horvath and Stemper [4], Forde and Zhang [12], Horvath, Jacquier and Lacombe [20] and most recently Friz, Gassiat and Pigato [13] (to name a few) prove large deviations principles for a wide range of one-dimensional stochastic volatility models. Some results concerning asymptotic in the multifactor setup can be found, for example, in Lacombe, Muguruza and Stone [23].…”
Section: Introductionmentioning
confidence: 85%
“…Thanks to Remark 4.1 (ii) and Assumption 4.2 we can suppose det(σ • ϕ) = 0 and the rate function above simplifies to J(•|ϕ) defined in (13).…”
Section: Ldp For the Uncorrelated Modelmentioning
confidence: 99%
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“…[23]. To address these problems, a prominent and quite successful approach is to employ more complex models and use (Edgeworth) expansions to salvage comparatively simple and easy to evaluate formulas, see for instance [1], [2], [13], [19], [21], [22], [28]. To illustrate this further, consider the standard model…”
Section: Introductionmentioning
confidence: 99%