PDTM Approach to Solve Black Scholes Equation for Powered ML-Payoff Function

IF 1.1 Q2 MATHEMATICS, APPLIED Computational Methods for Differential Equations Pub Date : 2021-03-21 DOI:10.22034/CMDE.2021.37944.1675
S. J. Ghevariya
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引用次数: 2

Abstract

In this paper, the Projected Differential Transform Method (PDTM) has been used to solve the Black Scholes differential equation for powered Modified Log Payoff (ML-Payoff) functions, $max {S^klnbig(frac{S}{K}big),0}$ and $max{S^klnbig(frac{K}{S}big),0}, (kin mathbb{R^{+}}cup {0})$. It is the generalization of Black Scholes model for ML-Payoff functions. It can be seen that values from PDTM is quite accurate to the closed form solutions.
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求解幂次ml -收益函数Black Scholes方程的PDTM方法
在本文中,投影微分变换方法(PDTM)被用于求解幂次修正对数收益函数的Black-Scholes微分方程,$max{S^klnbig(frac{S}{K}big),0}$和$max{S^klnbig(frac{K}{S}big),0},(kin-mathbb{R^{+}}cup{0})$。它是Black-Scholes模型对ML Payoff函数的推广。可以看出,PDTM的值对于闭合形式的解是相当精确的。
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来源期刊
CiteScore
2.20
自引率
27.30%
发文量
0
审稿时长
4 weeks
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