Results 1 to 10 of about 3,326,697 (175)
In this paper, an interior penalty method is proposed to solve a parabolic complementarity problem involving fractional Black–Scholes operator arising in pricing American options under a geometric Lévy process.
Yarui Duan +3 more
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Parabolic partial equations, particularly the Black–Scholes equation, are fundamental in mathematical finance for option pricing and risk management. Despite their widespread use, efficiently solving these equations remains a challenge, especially in ...
Hadis Azin, Ali Iloon Kashkooly
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In this paper, we study direct and inverse problems for a spatial-fractional Black–Scholes equation with space-dependent volatility. For the direct problem, we provide CN-WSGD (Crank–Nicholson and the weighted and shifted Grünwald difference) scheme to ...
Xiaoying Jiang, Chunmei Shi, Yujie Wei
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In this paper, we consider the time-fractional Black–Scholes model with deterministic, time-varying coefficients. These time parametric constituents produce a model with greater flexibility that may capture empirical results from financial markets and ...
Sameerah Jamal +2 more
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A New Stabled Relaxation Method for Pricing European Options Under the Time-Fractional Vasicek Model. [PDF]
Kharrat M, Arfaoui H.
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This work presents a spectral Galerkin approach for solving the time-fractional Black-Scholes equation (TFBSE) used in option pricing models, considering memory effects. We use certain shifted Jacobi polynomials as the basis functions.
A. G. Atta +3 more
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Quantum effects in an expanded Black-Scholes model. [PDF]
Bhatnagar A, Vvedensky DD.
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Analysis of a Finite Difference Method for a Time-Fractional Black–Scholes Equation
The goal of this paper is to give an error analysis of a finite difference method for a time-fractional Black–Scholes equation with weakly singular solutions.
Qingzhao Li +3 more
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Optimal Algebras and Novel Solutions of Time-Fractional 2+1−D European Call Option Model
In this article, we analyse the time-fractional 2+1−D Black–Scholes model for European call options by employing Lie symmetry analysis. We derive the infinitesimal transformations and classify the optimal systems.
Gimnitz Simon S. +2 more
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This work presents a physics-informed neural network framework for solving the time-fractional Fokker–Planck equation governing the joint probability density of asset price and stochastic volatility in a Heston-type model with fully time-dependent ...
Muhammed Ahmed Ibrahim +2 more
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