Laplace Decomposition Method for Solving Fractional Black-Scholes European Option Pricing Equation

A. E. Owoyemi, I. Sumiati, E. Rusyaman, S. Sukono
{"title":"Laplace Decomposition Method for Solving Fractional Black-Scholes European Option Pricing Equation","authors":"A. E. Owoyemi, I. Sumiati, E. Rusyaman, S. Sukono","doi":"10.46336/ijqrm.v1i4.91","DOIUrl":null,"url":null,"abstract":"Fractional calculus is related to derivatives and integrals with the order is not an integer. Fractional Black-Scholes partial differential equation to determine the price of European-type call options is an application of fractional calculus in the economic and financial fields. Laplace decomposition method is one of the reliable and effective numerical methods for solving fractional differential equations. Thus, this paper aims to apply the Laplace decomposition method for solving the fractional Black-Scholes equation, where the fractional derivative used is the Caputo sense. Two numerical illustrations are presented in this paper. The results show that the Laplace decomposition method is an efficient, easy and very useful method for finding solutions of fractional Black-Scholes partial differential equations and boundary conditions for European option pricing problems.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"11 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quantitative Research and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46336/ijqrm.v1i4.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Fractional calculus is related to derivatives and integrals with the order is not an integer. Fractional Black-Scholes partial differential equation to determine the price of European-type call options is an application of fractional calculus in the economic and financial fields. Laplace decomposition method is one of the reliable and effective numerical methods for solving fractional differential equations. Thus, this paper aims to apply the Laplace decomposition method for solving the fractional Black-Scholes equation, where the fractional derivative used is the Caputo sense. Two numerical illustrations are presented in this paper. The results show that the Laplace decomposition method is an efficient, easy and very useful method for finding solutions of fractional Black-Scholes partial differential equations and boundary conditions for European option pricing problems.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求解分数阶Black-Scholes欧式期权定价方程的拉普拉斯分解方法
分数阶微积分涉及的是导数和积分,其阶数不是整数。用分数阶Black-Scholes偏微分方程确定欧式看涨期权价格是分数阶微积分在经济金融领域的应用。拉普拉斯分解法是求解分数阶微分方程可靠有效的数值方法之一。因此,本文旨在应用拉普拉斯分解方法求解分数阶Black-Scholes方程,其中使用的分数阶导数为Caputo意义。文中给出了两个数值实例。结果表明,拉普拉斯分解方法是求解分数阶Black-Scholes偏微分方程解和欧式期权定价问题边界条件的一种有效、简便、实用的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Risk Measurement of Investment Portfolio Using Var and Cvar from The Top 10 Traded Stocks on the IDX Application of Structural Equations Modeling Partial Least Square at the Comparation of the Niveau of Responsibility From Cs and Digics Investment Portfolio Optimization In Infrastructure Stocks Using The Mean-VaR Risk Tolerance Model A Scoping Review of Green Supply Chain and Company Performance Application of Mathematical Model in Bioeconomic Analysis of Skipjack Fish in Pelabuhanratu, Sukabumi Regency, Jawa Barat
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1