Results 91 to 100 of about 228 (169)
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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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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In this work, a high-order meshless framework is developed for the numerical resolution of the temporal–fractional Black–Scholes equation arising in option pricing with long-memory effects.
Yutong Li +5 more
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Numerical investigation of the fractional diffusion wave equation with exponential kernel via cubic B-Spline approach. [PDF]
Shafiq M +5 more
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The time fractional Black–Scholes equation (TFBSE) is designed to evaluate price fluctuations within a correlated fractal transmission system. This model prices American or European put and call options on non-dividend-paying stocks.
Omid Nikan +2 more
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Application of the Esscher Transform to Pricing Forward Contracts on Energy Markets in a Fuzzy Environment. [PDF]
Nowak P, Pawłowski M.
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