In this research work, an explicit Runge-Kutta-Fehlberg (RKF) time integration with a fourth-order compact finite difference scheme in space and a high order analytical approximation of the optimal exercise boundary is employed for solving the regime-switching pricing model. In detail, we recast the free boundary problem into a system of nonlinear partial differential equations with a multi-fixed domain. We then introduce a transformation based on the square root function with a Lipschitz character from which a high order analytical approximation is obtained to compute the derivative of the optimal exercise boundary in each regime. We further compute the boundary values, asset option, and the option Greeks for each regime using fourth-order spatial discretization and adaptive time integration. In particular, the coupled assets options and option Greeks are estimated using Hermite interpolation with Newton basis. Finally, a numerical experiment is carried out with two- and four-regimes examples and results are compared with the existing methods. The results obtained from the numerical experiment show that the present method provides better performance in terms of computational speed and more accurate solutions with a large step size.
翻译:在这一研究工作中,采用了明确的龙格-库塔-费尔贝格(RKF)时间整合与空间四级紧凑有限差分制和最佳活动边界高顺序分析近似法,以解决制度转换定价模式;我们详细将自由边界问题重新定位为多固定域的非线性局部差分方程系统;然后根据平方根函数进行转换,从中得出高顺序分析近似法,以计算每个制度最佳活动边界的衍生物;我们进一步计算边界值、资产选项和希腊人对每个制度的选项,使用四级空间离散和适应性时间整合法;特别是,结合的资产选项和选项是使用纽顿法的Hermite 内部对等法估计的;最后,用2个和4个参数的示例和结果与现有方法进行了比较。数字实验的结果显示,目前的方法在计算速度和大步尺的更精确解决方案方面表现更好。