
doi: 10.1002/num.23103
AbstractIn this investigation, we propose a numerical method based on the fractional‐order generalized Taylor wavelets (FGTW) for option pricing and the fractional Black–Scholes equations. This model studies option pricing when the underlying asset has subdiffusive dynamics. By applying the regularized beta function, we give an exact formula for the Riemann–Liouville fractional integral operator (RLFIO) of the FGTW. An error analysis of the numerical scheme for estimating solutions is performed. Finally, we conduct a variety of numerical experiments for several standard examples from the literature to assess the efficiency of the proposed method.
beta function, numerical solution, subdiffusion process, Derivative securities (option pricing, hedging, etc.), Numerical methods (including Monte Carlo methods), Numerical methods for wavelets, fractional Black-Scholes equation, fractional-order generalized Taylor wavelet, Fractional partial differential equations
beta function, numerical solution, subdiffusion process, Derivative securities (option pricing, hedging, etc.), Numerical methods (including Monte Carlo methods), Numerical methods for wavelets, fractional Black-Scholes equation, fractional-order generalized Taylor wavelet, Fractional partial differential equations
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