A Finite Difference-Spectral Method for Solving the European Call Option Black–Scholes Equation

Talaei, Younes; Hosseinzadeh, Hasan; Noeiaghdam, Samad

doi:10.18280/mmep.080215

Cited by 1 publication

(1 citation statement)

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“…In general, some of these Black-Scholes PDEs do not have closed-form analytical solutions, hence one must use numerical techniques to resolve them. There is a large body of literature, including [18], [19], [20] and [21] that discusses the numerical solution of the original form of the Black-Scholes PDE in finance using diverse approaches. The best approximation comes from the original BSE solution, although another approach is presented here.…”

Section: Introductionmentioning

confidence: 99%

Numerical Schemes for Black-Scholes Equation with Error Dynamics

Shah,

Sharma

2023

Electronic Journal of Mathematical Analysis and Applications

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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. 2010 Mathematics Subject Classification. 33E20. Key words and phrases. Black-Scholes equation, heat equation, two-and three-time level finite difference methods, Global spectral analysis method for error dynamics, stability.

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Section: Introductionmentioning

confidence: 99%