{"title":"Pricing of shout option in uncertain financial market","authors":"Haoxuan Li, Xiangfeng Yang, Yaodong Ni","doi":"10.1007/s10700-024-09428-8","DOIUrl":null,"url":null,"abstract":"<p>The shout option allows the investors to make \"shouts\" to the seller throughout the option’s duration. The investors’ payoff is higher between the intrinsic value at shout time and the intrinsic value at the maturity time. Previous shout option pricing is in the framework of probability theory. However, some unexpected events in real life can make the frequency deviate from the estimated distribution function, in which case we should use the uncertainty theory. This study investigates shout option pricing problems under uncertainty theory. It also derives pricing formulas for shout-call and shout-put options. Additionally, we design a numerical algorithm to compute the price of the shout options. Finally, this study applies the concept of the shout option to Microsoft’s stock data and examines the relationship between the option price and crucial parameters.</p>","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":"17 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Optimization and Decision Making","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10700-024-09428-8","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The shout option allows the investors to make "shouts" to the seller throughout the option’s duration. The investors’ payoff is higher between the intrinsic value at shout time and the intrinsic value at the maturity time. Previous shout option pricing is in the framework of probability theory. However, some unexpected events in real life can make the frequency deviate from the estimated distribution function, in which case we should use the uncertainty theory. This study investigates shout option pricing problems under uncertainty theory. It also derives pricing formulas for shout-call and shout-put options. Additionally, we design a numerical algorithm to compute the price of the shout options. Finally, this study applies the concept of the shout option to Microsoft’s stock data and examines the relationship between the option price and crucial parameters.
期刊介绍：
The key objective of Fuzzy Optimization and Decision Making is to promote research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilitic uncertainty.
The journal will cover all aspects of employing fuzzy technologies to see optimal solutions and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems is welcome. The goal is to help foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal will provide a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.
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