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High-order time stepping scheme for pricing American option under Bates model

机译:贝茨模型下的美式期权定价高阶时间步进方案

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摘要

Pricing of European and American options under Bates model give rise to a partial integro-differential equation. In this paper a strongly stable fourth-order implicit predictor-corrector time stepping method based on exponential time differencing) is proposed for solving such problems. We provide stability, and convergence of the proposed method, and study the impact of the jump intensity, penalty and other parameters on convergence and solution accuracy. The American option constraint is enforced by using a penalty method. Spatial derivatives are approximated using second-order finite central differences which leads to block tridiagonal systems. The integral term is evaluated using simple quadrature where the non-locality of the jump term in such models leads to dense matrix. We treat the approximated integral term and nonlinear penalty term explicitly in time. Numerical experiments are demonstrated by discussing the efficiency, accuracy and reliability of the proposed method.
机译:在贝茨模型下,欧洲和美国期权的定价产生了部分积分微分方程。为解决此类问题,本文提出了一种基于指数时间差的强稳定的四阶隐式预测器-校正器时间步进方法。我们提供了所提出方法的稳定性和收敛性,并研究了跳跃强度,惩罚和其他参数对收敛性和求解精度的影响。美式期权约束通过使用惩罚方法强制执行。使用二阶有限中心差近似空间导数,这会导致块对角线系统。积分项是使用简单正交求值的,其中在此类模型中,跳转项的非局部性会导致密集矩阵。我们及时明确地对待近似积分项和非线性惩罚项。通过讨论该方法的效率,准确性和可靠性,进行了数值实验。

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