{"title":"趋势Ornstein-Uhlenbeck过程:技术说明","authors":"Carlos Mejía, Carlos Andres Zapata Quimbayo","doi":"10.2139/ssrn.3263789","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to present the elemental equations we can use to calibrate (through the maximum log-likelihood method) and to simulate under a risk-neutral framework (through the Monte Carlo simulation method) the stochastic process known as the trending Ornstein-Uhlenbeck process.","PeriodicalId":299310,"journal":{"name":"Econometrics: Mathematical Methods & Programming eJournal","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Trending Ornstein-Uhlenbeck Process: A Technical Note\",\"authors\":\"Carlos Mejía, Carlos Andres Zapata Quimbayo\",\"doi\":\"10.2139/ssrn.3263789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to present the elemental equations we can use to calibrate (through the maximum log-likelihood method) and to simulate under a risk-neutral framework (through the Monte Carlo simulation method) the stochastic process known as the trending Ornstein-Uhlenbeck process.\",\"PeriodicalId\":299310,\"journal\":{\"name\":\"Econometrics: Mathematical Methods & Programming eJournal\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Econometrics: Mathematical Methods & Programming eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3263789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometrics: Mathematical Methods & Programming eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3263789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Trending Ornstein-Uhlenbeck Process: A Technical Note
The aim of this paper is to present the elemental equations we can use to calibrate (through the maximum log-likelihood method) and to simulate under a risk-neutral framework (through the Monte Carlo simulation method) the stochastic process known as the trending Ornstein-Uhlenbeck process.
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