{"title":"Knock-in options of mean-reverting stock model with floating interest rate in uncertain environment","authors":"Lifen Jia, Dongao Li, Fengjia Guo, Bowen Zhang","doi":"10.1080/03081079.2023.2276703","DOIUrl":null,"url":null,"abstract":"AbstractKnock-in options are a type of barrier option that become active when the value of the underlying asset exceeds a predetermined target. This paper investigates knock-in options based on the mean-reverting stock model within an uncertain environment where the interest rate is dynamic and the stock price follows a geometric process. We subsequently provide the price formulas for the European up-and-in call option and European down-and-in put option. Additionally, we apply real data from the financial market and employ moments estimation to derive the optimal parameters of the stock model under bullish and bearish conditions, respectively. Hypothesis testing is subsequently utilized to assess the fitting effect between the model and data. Finally, the numerical experiments are set to verify the validity of the formulas by observing the influence of parameters on the option price.Keywords: Mean-reverting stock modelknock-in optionparameter estimationfloating interest rateoption pricing formula Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.Additional informationFundingThis work was supported by the Project of Teachers' Constructions in Beijing Municipal Universities in the Period of 14th Five-year Plan [No. BPHR20220120] and R&D Program of Beijing Municipal Education Commission [No. KM202110038001].","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":" 5","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of General Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03081079.2023.2276703","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractKnock-in options are a type of barrier option that become active when the value of the underlying asset exceeds a predetermined target. This paper investigates knock-in options based on the mean-reverting stock model within an uncertain environment where the interest rate is dynamic and the stock price follows a geometric process. We subsequently provide the price formulas for the European up-and-in call option and European down-and-in put option. Additionally, we apply real data from the financial market and employ moments estimation to derive the optimal parameters of the stock model under bullish and bearish conditions, respectively. Hypothesis testing is subsequently utilized to assess the fitting effect between the model and data. Finally, the numerical experiments are set to verify the validity of the formulas by observing the influence of parameters on the option price.Keywords: Mean-reverting stock modelknock-in optionparameter estimationfloating interest rateoption pricing formula Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.Additional informationFundingThis work was supported by the Project of Teachers' Constructions in Beijing Municipal Universities in the Period of 14th Five-year Plan [No. BPHR20220120] and R&D Program of Beijing Municipal Education Commission [No. KM202110038001].
期刊介绍:
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.