In this article we focus on option Greeks computation by means of Radial Basis Functions (RBF) with Partition of Unity methods. We start by presenting RBF applications to the financial world: we price single-underlying European and American barrier options and an American basket option on two correlated underlyings. Furthermore, we derive the expression for Greeks calculation via RBF and we compare the results of the corresponding solution with the finite difference method. We conclude RBFs are an accurate and precise alternative method to price contingent claims, offering an appealing solution to evaluate Greeks with better results than Finite Difference methods
We propose a method of function approximation by radial basis function networks. We will demonstrate...
AbstractBased on the idea of quasi-interpolation and radial basis functions approximation, a fast an...
We propose a method of function approximation by radial basis function networks. We will demonstrate...
In this article we focus on option Greeks computation by means of Radial Basis Functions (RBF) with ...
The price of an option can under some assumptions be determined by the solution of the Black–Scholes...
In this thesis we price several financial derivatives by means of radial basis functions. Our main c...
AbstractIn this paper, we have derived a radial basis function (RBF) based method for the pricing of...
In this paper we aim to apply a new, proposed meshless approach for Heston PDE resolution. In Mathem...
In order to determine prices of pricing financial derivatives such as options, numerical methods mus...
In this thesis, we have developed meshless adaptive radial basis functions (RBFs) method for the pri...
The aim of this paper is to show how option prices in the Jump-diffusion model can be computed using...
This paper will demonstrate how European and American option prices can be computed under the jump-d...
In this article, we price American options under Heston's stochastic volatility model using a radial...
Radial basis function (RBF) approximation, is a new extremely powerful tool that is promising for hi...
A greedy algorithm in combination with radial basis functions partition of unity collocation (GRBF-P...
We propose a method of function approximation by radial basis function networks. We will demonstrate...
AbstractBased on the idea of quasi-interpolation and radial basis functions approximation, a fast an...
We propose a method of function approximation by radial basis function networks. We will demonstrate...
In this article we focus on option Greeks computation by means of Radial Basis Functions (RBF) with ...
The price of an option can under some assumptions be determined by the solution of the Black–Scholes...
In this thesis we price several financial derivatives by means of radial basis functions. Our main c...
AbstractIn this paper, we have derived a radial basis function (RBF) based method for the pricing of...
In this paper we aim to apply a new, proposed meshless approach for Heston PDE resolution. In Mathem...
In order to determine prices of pricing financial derivatives such as options, numerical methods mus...
In this thesis, we have developed meshless adaptive radial basis functions (RBFs) method for the pri...
The aim of this paper is to show how option prices in the Jump-diffusion model can be computed using...
This paper will demonstrate how European and American option prices can be computed under the jump-d...
In this article, we price American options under Heston's stochastic volatility model using a radial...
Radial basis function (RBF) approximation, is a new extremely powerful tool that is promising for hi...
A greedy algorithm in combination with radial basis functions partition of unity collocation (GRBF-P...
We propose a method of function approximation by radial basis function networks. We will demonstrate...
AbstractBased on the idea of quasi-interpolation and radial basis functions approximation, a fast an...
We propose a method of function approximation by radial basis function networks. We will demonstrate...