Property and numerical simulation of the Ait-Sahalia-Rho model with nonlinear growth conditions
Feng Jiang Hua Yang Tianhai Tian
Discrete & Continuous Dynamical Systems - B 2017, 22(1): 101-113 doi: 10.3934/dcdsb.2017005

The Ait-Sahalia-Rho model is an important tool to study a number of financial problems, including the term structure of interest rate. However, since the functions of this model do not satisfy the linear growth condition, we cannot study the properties for the solution of this model by using the traditional techniques. In this paper we overcome the mathematical difficulties due to the nonlinear growth condition by using numerical simulation. Thus we first discuss analytical properties of the model and the convergence property of numerical solutions in probability for the Ait-Sahalia-Rho model. Finally, an example for option pricing is given to illustrate that the numerical solution is an effective method to estimate the expected payoffs.

keywords: Ait-Sahalia-Rho model boundedness convergence in probability

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