IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE Journal of Derivatives Pub Date : 2019-10-07 DOI:10.1002/9781119595663.ch48
{"title":"Black–Scholes\n PDE","authors":"","doi":"10.1002/9781119595663.ch48","DOIUrl":null,"url":null,"abstract":"The question is can we derive an equation for v(t, x)? The answer is yes, and the equation is a Partial Differential Equation (PDE): an equation connecting the partial derivatives of v in t and x, hence the name. This equation is of interest because if we can solve it, then to decide Vt we only need to plug in St for x. Of course we can decide Vt by taking Expectation via the Independence Lemma, which leads to the Black-Scholes formula. Numerically, this would lead to the pricing by simulation method: we simulate the paths of St and summing over the paths as way to approximate the expectation. The pricing of Vt by by figuring out v(t, x) would like to the numerical solution of PDE approach. This provides us with an alternative (and sometimes possibly more powerful) approach to the simulation method described above.","PeriodicalId":40006,"journal":{"name":"Journal of Derivatives","volume":"19 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2019-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Derivatives","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1002/9781119595663.ch48","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

问题是我们能否推导出v(t, x)的方程?答案是肯定的,这个方程是一个偏微分方程(PDE):一个连接v在t和x的偏导数的方程,因此得名。这个方程很有趣,因为如果我们能解出它,那么我们只需要把St代入x就能求出Vt,当然我们可以通过独立引理求出期望来求出Vt,这就引出了布莱克-斯科尔斯公式。在数值上,这将导致通过模拟方法定价:我们模拟St的路径并对路径求和作为近似期望的方法。通过求出v(t, x)来确定Vt的价格就像PDE方法的数值解一样。这为我们提供了上述模拟方法的另一种(有时可能更强大)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。
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
Black–Scholes PDE
The question is can we derive an equation for v(t, x)? The answer is yes, and the equation is a Partial Differential Equation (PDE): an equation connecting the partial derivatives of v in t and x, hence the name. This equation is of interest because if we can solve it, then to decide Vt we only need to plug in St for x. Of course we can decide Vt by taking Expectation via the Independence Lemma, which leads to the Black-Scholes formula. Numerically, this would lead to the pricing by simulation method: we simulate the paths of St and summing over the paths as way to approximate the expectation. The pricing of Vt by by figuring out v(t, x) would like to the numerical solution of PDE approach. This provides us with an alternative (and sometimes possibly more powerful) approach to the simulation method described above.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Derivatives
Journal of Derivatives Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
14.30%
发文量
35
期刊介绍: The Journal of Derivatives (JOD) is the leading analytical journal on derivatives, providing detailed analyses of theoretical models and how they are used in practice. JOD gives you results-oriented analysis and provides full treatment of mathematical and statistical information on derivatives products and techniques. JOD includes articles about: •The latest valuation and hedging models for derivative instruments and securities •New tools and models for financial risk management •How to apply academic derivatives theory and research to real-world problems •Illustration and rigorous analysis of key innovations in derivative securities and derivative markets
期刊最新文献
VIX Option Pricing for Non-Parameter Heston Stochastic Local Volatility Model Beyond Basel 4: Integrating Over-the-Counter Derivatives Risk Capital Requirements Commodity ETF Arbitrage: Futures-Backed versus Physical-Backed ETFs Efficient Implementation of Tree-Based Option Pricing and Hedging Algorithms under GARCH Models Measuring Information Flows in Option Markets: A Relative Entropy Approach
×
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