Back to the Future: An Approximate Solution for N Out of M Soft-Call Option

Joshua Xingzhi Zhang
{"title":"Back to the Future: An Approximate Solution for N Out of M Soft-Call Option","authors":"Joshua Xingzhi Zhang","doi":"10.2139/ssrn.1815295","DOIUrl":null,"url":null,"abstract":"In convertible bond market, it is very common to protect the conversion privilege from being called away too soon by using soft-call constraint, or to protect the bond being converted too soon by using provision convert constraint. The first option will protect the bond holder; the second will be benefit to bond issuer. Both constrains have the common feature that the option can be exercise only when the underlying stock closes above a pre-set barrier for any n or more days over m consecutive trading days up to the exercise day. This feature brings challenge for pricing. This paper will propose an approximation solution by Looking Backward (LB) method. In order to illustrate the idea more clearly, I will focus on the Black model stock dynamic using binomial tree based on Cox-Ross-Rubinstein scheme. The results are compared with the exactly solution given by the author in [1]. The extension to other numerical method such as PDE with more general stock dynamic will also be discussed, and the numerical scheme will be laid out. The idea of the method can be applied to the pricing of other path dependent instruments in general.","PeriodicalId":11485,"journal":{"name":"Econometrics: Applied Econometrics & Modeling eJournal","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometrics: Applied Econometrics & Modeling eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1815295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In convertible bond market, it is very common to protect the conversion privilege from being called away too soon by using soft-call constraint, or to protect the bond being converted too soon by using provision convert constraint. The first option will protect the bond holder; the second will be benefit to bond issuer. Both constrains have the common feature that the option can be exercise only when the underlying stock closes above a pre-set barrier for any n or more days over m consecutive trading days up to the exercise day. This feature brings challenge for pricing. This paper will propose an approximation solution by Looking Backward (LB) method. In order to illustrate the idea more clearly, I will focus on the Black model stock dynamic using binomial tree based on Cox-Ross-Rubinstein scheme. The results are compared with the exactly solution given by the author in [1]. The extension to other numerical method such as PDE with more general stock dynamic will also be discussed, and the numerical scheme will be laid out. The idea of the method can be applied to the pricing of other path dependent instruments in general.
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
回到未来:N Out of M软期权的近似解
在可转换债券市场中,通常采用软赎回约束来保护转换特权不被过早赎回,或者采用条款转换约束来保护债券被过早转换。第一种选择将保护债券持有人;二是有利于债券发行人。这两个限制都有一个共同的特点,即只有当标的股票在截至行权日的连续m个交易日中有n天或更多天收盘价高于预设障碍时,期权才能行权。这一特性给定价带来了挑战。本文将提出一种用向后看(LB)方法的近似解。为了更清楚地说明这一思想,我将重点关注基于Cox-Ross-Rubinstein方案的二项树的Black模型股票动态。结果与作者在[1]中给出的精确解进行了比较。本文还讨论了对其他数值方法的推广,如具有更一般存量动态的偏微分方程,并给出了数值格式。一般来说,该方法的思想可以应用于其他路径相关工具的定价。
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
Discovering Causal Models with Optimization: Confounders, Cycles, and Feature Selection Improving the Wisdom of Crowds with Analysis of Variance of Predictions of Related Outcomes Canonical Correlation-based Model Selection for the Multilevel Factors Robust Forecasting Resurrecting the Size Effect: Firm Size, Profitability Shocks, and Expected Stock Returns
×
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