volatility models. Our method is based on a novel application of the exponential measure change in Palmowski & Rolski (2002 … stochastic volatility models with non-zero correlations, namely the Heston (1993), 3/2, and a special case of the α …-Hypergeometric stochastic volatility models recently proposed by Da Fonseca & Martini (2016). Then, we combine our method with a stochastic time …

volatility level. Single-factor stochastic volatility models are not flexible enough to account for the stochastic behavior of … the skew. On the other hand, multifactor stochastic volatility models are able to account for the existence of stochastic … that the consideration of additional volatility factors in the context of stochastic volatility models allows us to …

imposes inconsistent assumptions on underlying securities. The phenomenon is referred to as the volatility smile. This paper … function we obtain a wide range of shapes of implied volatility curves with respect to option strikes. The model has closed …

://ssrn.com/abstract=2546430). • In this paper we report similar unique results for pricing options in the presence of stochastic volatility … Model. • Our discovery of the probability density function for options with stochastic volatility enables exact closed … the density function for options with stochastic volatility within the Heston model is expressive enough to enable …

This paper describes a method for computing risk-neutral density functions based on the option-implied volatility smile …

This paper describes a method for computing risk-neutral density functions based on the option-implied volatility smile …