1. A highly sensitive mean-reverting process in finance and the Euler–Maruyama approximations
- Author
-
Wu, Fuke, Mao, Xuerong, Chen, Kan, and Chinese Scholarship Council (Funder)
- Subjects
Euler–Maruyama method ,Stochastic differential equation ,Applied Mathematics ,media_common.quotation_subject ,Monte Carlo method ,Convergence in probability ,Interest rate ,Convergence of random variables ,Mean reversion ,Econometrics ,Applied mathematics ,Probability distribution ,Call option ,Structure of interest rate ,QA ,Monte Carlo simulation ,Analysis ,Mathematics ,media_common - Abstract
Empirical studies show that the most successful continuous-time models of the short-term rate in capturing the dynamics are those that allow the volatility of interest changes to be highly sensitive to the level of the rate. However, from the mathematics, the high sensitivity to the level implies that the coefficients do not satisfy the linear growth condition, so we can not examine its properties by traditional techniques. This paper overcomes the mathematical difficulties due to the nonlinear growth and examines its analytical properties and the convergence of numerical solutions in probability. The convergence result can be used to justify the method within Monte Carlo simulations that compute the expected payoff of financial products. For illustration, we apply our results compute the value of a bond with interest rate given by the highly sensitive mean-reverting process as well as the value of a single barrier call option with the asset price governed by this process.
- Published
- 2008