{"title":"关于非因果过程对二次变分过程的随机可微性","authors":"Kiyoiki Hoshino","doi":"10.1080/17442508.2023.2214266","DOIUrl":null,"url":null,"abstract":"Let be a stochastic process with quadratic variation on a probability space and a dense subset of , where is regarded as the infinite interval when . First, we introduce the -module of V-differentiable noncausal processes on Q and V-derivative operator defined on , which enjoys the modularity: for any and . Second, we show that the class forms an -module, where stands for the quadratic variation on Q. As a result, we have the isometry: for any , where stands for the quadratic covariation on Q. Finally, we present universal properties and examples of the stochastic integral I with . This result is essentially used for solving the identification problem from the stochastic Fourier coefficients.","PeriodicalId":50447,"journal":{"name":"Finance and Stochastics","volume":"90 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the stochastic differentiability of noncausal processes with respect to the process with quadratic variation\",\"authors\":\"Kiyoiki Hoshino\",\"doi\":\"10.1080/17442508.2023.2214266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Let be a stochastic process with quadratic variation on a probability space and a dense subset of , where is regarded as the infinite interval when . First, we introduce the -module of V-differentiable noncausal processes on Q and V-derivative operator defined on , which enjoys the modularity: for any and . Second, we show that the class forms an -module, where stands for the quadratic variation on Q. As a result, we have the isometry: for any , where stands for the quadratic covariation on Q. Finally, we present universal properties and examples of the stochastic integral I with . This result is essentially used for solving the identification problem from the stochastic Fourier coefficients.\",\"PeriodicalId\":50447,\"journal\":{\"name\":\"Finance and Stochastics\",\"volume\":\"90 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance and Stochastics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/17442508.2023.2214266\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance and Stochastics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/17442508.2023.2214266","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
On the stochastic differentiability of noncausal processes with respect to the process with quadratic variation
Let be a stochastic process with quadratic variation on a probability space and a dense subset of , where is regarded as the infinite interval when . First, we introduce the -module of V-differentiable noncausal processes on Q and V-derivative operator defined on , which enjoys the modularity: for any and . Second, we show that the class forms an -module, where stands for the quadratic variation on Q. As a result, we have the isometry: for any , where stands for the quadratic covariation on Q. Finally, we present universal properties and examples of the stochastic integral I with . This result is essentially used for solving the identification problem from the stochastic Fourier coefficients.
期刊介绍:
The purpose of Finance and Stochastics is to provide a high standard publication forum for research
- in all areas of finance based on stochastic methods
- on specific topics in mathematics (in particular probability theory, statistics and stochastic analysis) motivated by the analysis of problems in finance.
Finance and Stochastics encompasses - but is not limited to - the following fields:
- theory and analysis of financial markets
- continuous time finance
- derivatives research
- insurance in relation to finance
- portfolio selection
- credit and market risks
- term structure models
- statistical and empirical financial studies based on advanced stochastic methods
- numerical and stochastic solution techniques for problems in finance
- intertemporal economics, uncertainty and information in relation to finance.