2014
DOI: 10.1007/s10690-014-9185-8
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Large Deviations for the Extended Heston Model: The Large-Time Case

Abstract: Abstract. We study here the large-time behaviour of all continuous affine stochastic volatility models (in the sense of [13]) and deduce a closed-form formula for the large-maturity implied volatility smile.We concentrate on (rescaled) strikes around the money, which are the most common in practice, and extend the results in [4] and [8].

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Cited by 10 publications
(7 citation statements)
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“…leading order) implied volatility smile for the well known Heston model in the so-called large-time, large log-moneyness regime, under a mild restriction on the model parameters, and the rate function is computed numerically as a Fenchel-Legendre transform which is just a one-dimensional root-finding exercise. [GJ11] show that the asymptotic smile can actually be computed in closed-form via the SVI parameterization and [FJM10] compute the correction term to this smile using saddlepoint methods; [Forde14] derives a similar result for the Stein-Stein model and [JM12] derive a similar result for a displaced Heston model (and relax the aforementioned condition on the parameters). [JKRM12] extended the results in [FJ11] to a general class of affine stochastic volatility models (with jumps), which includes the Heston, Bates and the Barndorff-Nielsen-Shephard model, and under mild assumptions, they show that the limiting smile necessarily corresponds to the smile generated by an exponential Lévy model.…”
Section: Introductionmentioning
confidence: 93%
“…leading order) implied volatility smile for the well known Heston model in the so-called large-time, large log-moneyness regime, under a mild restriction on the model parameters, and the rate function is computed numerically as a Fenchel-Legendre transform which is just a one-dimensional root-finding exercise. [GJ11] show that the asymptotic smile can actually be computed in closed-form via the SVI parameterization and [FJM10] compute the correction term to this smile using saddlepoint methods; [Forde14] derives a similar result for the Stein-Stein model and [JM12] derive a similar result for a displaced Heston model (and relax the aforementioned condition on the parameters). [JKRM12] extended the results in [FJ11] to a general class of affine stochastic volatility models (with jumps), which includes the Heston, Bates and the Barndorff-Nielsen-Shephard model, and under mild assumptions, they show that the limiting smile necessarily corresponds to the smile generated by an exponential Lévy model.…”
Section: Introductionmentioning
confidence: 93%
“…Extreme strike asymptotics arose with the seminal paper by Roger Lee [43] and have been further extended by Benaim and Friz [4,5] and in [30,31,23,15]. Comparatively, large-maturity asymptotics have only been studied in [55,19,36,35,21] using large deviations and saddlepoint methods. Fouque et al [22] have also successfully introduced perturbation techniques in order to study slow and fast mean-reverting stochastic volatility models.…”
Section: Xt T≥0mentioning
confidence: 99%
“…Roger Lee [55] was the first to study extreme strike asymptotics, and further works on this have been carried out by Benaim and Friz [6,7] and in [39,40,41,31,23,19]. Large-maturity asymptotics have only been studied in [67,27,46,45,29] using large deviations and saddlepoint methods. Fouque et al [30] have also successfully introduced perturbation techniques in order to study slow and fast mean-reverting stochastic volatility models.…”
Section: Xt T≥0mentioning
confidence: 99%
“…It is clear (see also [27] and [45]) that the function V is infinitely differentiable, strictly convex and essentially smooth on the open interval (u − , u + ) and that V (0) = 0. Furthermore V (1) = 0 if and only if ρ ≤ κ/ξ.…”
Section: Large-maturity Regimesmentioning
confidence: 99%