{"title":"基于不确定分数波动率股票模型的期权定价问题","authors":"Wenxiu Gong, Miao Tian, Xiangfeng Yang, Yesen Sun","doi":"10.1007/s00500-024-09663-6","DOIUrl":null,"url":null,"abstract":"<p>Uncertain fractional differential equations fit more with the actual financial market since they have the non-locality features to mirror the memory and hereditary characteristics of the underlying asset price. In this paper, we investigate the option price in the asset price and volatility following the uncertain fractional differential equations in the sense of Caputo. Firstly, we propose the stock model with an uncertain fractional volatility and present the <span>\\(\\alpha \\)</span>-path of the uncertain fractional volatility model. Secondly, the pricing formulas of European and American options are obtained for the proposed model. Lastly, numerical experiments on market data are presented. Numerical calculations and data examples show the accuracy and efficiency of the proposed model.</p>","PeriodicalId":22039,"journal":{"name":"Soft Computing","volume":"1 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The option pricing problem based on the uncertain fractional volatility stock model\",\"authors\":\"Wenxiu Gong, Miao Tian, Xiangfeng Yang, Yesen Sun\",\"doi\":\"10.1007/s00500-024-09663-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Uncertain fractional differential equations fit more with the actual financial market since they have the non-locality features to mirror the memory and hereditary characteristics of the underlying asset price. In this paper, we investigate the option price in the asset price and volatility following the uncertain fractional differential equations in the sense of Caputo. Firstly, we propose the stock model with an uncertain fractional volatility and present the <span>\\\\(\\\\alpha \\\\)</span>-path of the uncertain fractional volatility model. Secondly, the pricing formulas of European and American options are obtained for the proposed model. Lastly, numerical experiments on market data are presented. Numerical calculations and data examples show the accuracy and efficiency of the proposed model.</p>\",\"PeriodicalId\":22039,\"journal\":{\"name\":\"Soft Computing\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s00500-024-09663-6\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00500-024-09663-6","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
The option pricing problem based on the uncertain fractional volatility stock model
Uncertain fractional differential equations fit more with the actual financial market since they have the non-locality features to mirror the memory and hereditary characteristics of the underlying asset price. In this paper, we investigate the option price in the asset price and volatility following the uncertain fractional differential equations in the sense of Caputo. Firstly, we propose the stock model with an uncertain fractional volatility and present the \(\alpha \)-path of the uncertain fractional volatility model. Secondly, the pricing formulas of European and American options are obtained for the proposed model. Lastly, numerical experiments on market data are presented. Numerical calculations and data examples show the accuracy and efficiency of the proposed model.
期刊介绍:
Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.
Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.