Convergence of the Two Point Flux Approximation method and the fitted Two Point Flux Approximation method for options pricing with local volatility function

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-23 DOI:10.1016/j.cnsns.2024.108291
Rock S. Koffi , Antoine Tambue
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Abstract

In this paper, we deal with numerical approximations for solving the Black–Scholes Partial Differential Equation (PDE) for European and American options pricing with local volatility. This PDE is well-known to be degenerated. Local volatility model is a model where the volatility depends locally of both stock price and time. In contrast to constant volatility or time-dependent volatility models for which analytical representations of the exact solution is known for European Call options, there is no analytical solution for local volatility. The space discretization is performed using the classical finite volume method with Two-Point Flux Approximation (TPFA) and a novel scheme called Fitted Two-Point Flux Approximation (FTPFA). The Fitted Two-Point Flux Approximation (FTPFA) combines the fitted finite volume method and the standard TPFA method. More precisely the fitted finite volume method is used when the stock price approaches zero with the goal to handle the degeneracy of the PDE while the TPFA method is used on the rest of space domain. This combination yields our fitted TPFA scheme. The Euler method is used for the time discretization. We provide the rigorous convergence proofs of the two fully discretized schemes. Numerical experiments to support theoretical results are provided.

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两点通量逼近法和拟合两点通量逼近法的收敛性,用于具有局部波动函数的期权定价
在本文中,我们讨论了求解具有局部波动性的欧美期权定价的布莱克-斯科尔斯偏微分方程(PDE)的数值近似值。众所周知,该 PDE 是退化的。局部波动率模型是一种波动率取决于股票价格和时间的局部模型。与恒定波动率模型或时间相关波动率模型不同,欧式看涨期权的精确解的分析表述是已知的,而局部波动率模型则没有分析解。空间离散化采用了经典有限体积法和两点通量逼近法(TPFA),以及一种名为拟合两点通量逼近法(FTPFA)的新方案。拟合两点通量近似法(FTPFA)结合了拟合有限体积法和标准 TPFA 法。更确切地说,拟合有限体积法用于股价接近于零的情况,目的是处理 PDE 的退化问题,而 TPFA 方法则用于空间域的其他部分。这种组合产生了我们的拟合 TPFA 方案。欧拉法用于时间离散化。我们提供了两种完全离散化方案的严格收敛性证明。我们还提供了支持理论结果的数值实验。
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CiteScore
7.20
自引率
4.30%
发文量
567
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