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A numerical comparative analysis between crank-Nicolson finite difference method and binomial model for European call option price

Tanmoy Kumar DebnathABM Shahadat HossainToma Debnath

Abstract

There are several kinds of numerical techniques for solving option valuation problems. In this article Binomial model (BM) and Crank-Nicolson finite difference (CNFD) approach are applied and compared with the Black-Scholes analytic solution (BSAS) to determine the best numerical method. It has been noticed that, for the valuation of European call (EC) options at various factors, the Binomial model (BM) is found to be more accurate than the Crank-Nicolson finite difference (CNFD) technique. In addition, for the impact of high volatility, the technique of Crank-Nicolson finite difference (CNFD) approaches quicker to Black-Scholes analytic solution (BSAS) than the Binomial model (BM). Furthermore, in comparison to the Binomial model (BM), CNFD method consumes more time to determine the option price in each time step.

Merger and Competition AnalysisFirm Innovation and GrowthICT Impact and PoliciesCrank–Nicolson methodMathematicsFinite differenceFinite difference methodCrankValuation (finance)Applied mathematicsBlack–Scholes modelCall optionFinite difference methods for option pricing
Citations
0
FWCI
0.00
field-weighted impact
References
13
Percentile
20%
vs. same field & year
References
Option pricing: A simplified approach
Journal of Financial Economics · 1979 · 6,164 citations
Option pricing when underlying stock returns are discontinuous
Journal of Financial Economics · 1976 · 6,048 citations
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