Numerical Schemes for Black-Scholes Equation with Error Dynamics

Tejal Shah, J. Sharma
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Abstract

. This paper focuses on the numerical solution of the Black-Scholes equation (BSE), which is used in finance to price options. The modified version of BSE to heat equation is subjected to two-time level finite difference method such as the Crank-Nicolson method and three-time level finite difference method such as the DuFort-Frankel method. The error dynamics is represented by the Global Spectral Analysis (GSA) method, which contradict the error dynamics of the von Neumann method, where the signal and error follow the same difference equation. For different maturities, volatilities and interest rates, both techniques are tested for accuracy. For the converted heat equation of BSE, the three-time level method is determined to be more accurate than the two-time level method. Finally, we conclude that risk can be reduced by short-term investment in a low interest, high-volatility market with a good approximation using the three-time level finite difference method for European call option for converted BSE to heat equation.
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具有误差动力学的Black-Scholes方程的数值格式
. 本文主要研究金融学中用于期权定价的Black-Scholes方程(BSE)的数值解。修正后的BSE - to - heat方程分别采用两级有限差分法(如Crank-Nicolson法)和三级有限差分法(如DuFort-Frankel法)。误差动态用全局谱分析(GSA)方法表示,这与冯诺依曼方法的误差动态相矛盾,后者的信号和误差遵循相同的差分方程。对于不同的期限、波动率和利率,这两种技术都要经过准确性测试。对于疯牛病的转换热方程,确定了三时间水平方法比两时间水平方法更精确。最后,我们得出结论,在低利率、高波动的市场中,短期投资可以降低风险,并使用三时间水平有限差分法对转换成热方程的欧洲看涨期权进行很好的近似。
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