We price American options using kernel-based approximations of the Volterra Heston model. We choose these approximations because they allow simulation-based techniques for pricing. We prove the convergence of American option prices in the approximating sequence of models towards the prices in the Volterra Heston model. A crucial step in the proof is to exploit the affine structure of the model in order to establish explicit formulas and convergence results for the conditional Fourier-Laplace transform of the log price and an adjusted version of the forward variance. We illustrate with numerical examples our convergence result and the behavior of American option prices with respect to certain parameters of the model
This paper proposes a novel approach to pricing of American put option under double Heston model. We...
We develop an algorithm to price American options on assets that follow the stochastic volatility mo...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
International audienceWe price American options using kernel-based approximations of the Volterra He...
In this thesis, we consider the pricing problem of an American put option. We introduce a new market...
We study some properties of the American option price in the stochastic volatility Heston model. We ...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
AbstractIn this paper, an effectively computable approximation of the price of an American option in...
International audienceWe give an analytical characterization of the price function of an American op...
International audienceWe propose a hybrid tree-finite difference method in order to approximate the ...
Pricing American options has always been problematic due to its early exercise characteristic. As no...
This paper proposes a novel approach to pricing of American put option under double Heston model. We...
We develop an algorithm to price American options on assets that follow the stochastic volatility mo...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
International audienceWe price American options using kernel-based approximations of the Volterra He...
In this thesis, we consider the pricing problem of an American put option. We introduce a new market...
We study some properties of the American option price in the stochastic volatility Heston model. We ...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
AbstractIn this paper, an effectively computable approximation of the price of an American option in...
International audienceWe give an analytical characterization of the price function of an American op...
International audienceWe propose a hybrid tree-finite difference method in order to approximate the ...
Pricing American options has always been problematic due to its early exercise characteristic. As no...
This paper proposes a novel approach to pricing of American put option under double Heston model. We...
We develop an algorithm to price American options on assets that follow the stochastic volatility mo...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...