{"title":"衍生品价格对无风险利率的加权最小二乘估计","authors":"Jörgen Blomvall, Pontus Söderbäck, M. Singull","doi":"10.1080/23737484.2023.2186283","DOIUrl":null,"url":null,"abstract":"Abstract This study proposes a method for estimating the interest spread over an OIS-implied spot rate used in market-consistent derivative pricing. Our method generalizes previous proposed ordinary least squares methods in the literature in two ways. First, it utilizes intraday data rather than data from a single time. Second, it is formulated as weighted least squares to counteract heteroscedasticity. Additionally, we present a general methodology to quantify the performance difference between methods when the true value is unknown. We find that our method outperforms previously proposed methods with statistical significance and that the primary improvement is the utilization of intraday data.","PeriodicalId":36561,"journal":{"name":"Communications in Statistics Case Studies Data Analysis and Applications","volume":"79 1","pages":"72 - 105"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Weighted least squares estimation of the risk-free rate from derivative prices\",\"authors\":\"Jörgen Blomvall, Pontus Söderbäck, M. Singull\",\"doi\":\"10.1080/23737484.2023.2186283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study proposes a method for estimating the interest spread over an OIS-implied spot rate used in market-consistent derivative pricing. Our method generalizes previous proposed ordinary least squares methods in the literature in two ways. First, it utilizes intraday data rather than data from a single time. Second, it is formulated as weighted least squares to counteract heteroscedasticity. Additionally, we present a general methodology to quantify the performance difference between methods when the true value is unknown. We find that our method outperforms previously proposed methods with statistical significance and that the primary improvement is the utilization of intraday data.\",\"PeriodicalId\":36561,\"journal\":{\"name\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"volume\":\"79 1\",\"pages\":\"72 - 105\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23737484.2023.2186283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics Case Studies Data Analysis and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23737484.2023.2186283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
Weighted least squares estimation of the risk-free rate from derivative prices
Abstract This study proposes a method for estimating the interest spread over an OIS-implied spot rate used in market-consistent derivative pricing. Our method generalizes previous proposed ordinary least squares methods in the literature in two ways. First, it utilizes intraday data rather than data from a single time. Second, it is formulated as weighted least squares to counteract heteroscedasticity. Additionally, we present a general methodology to quantify the performance difference between methods when the true value is unknown. We find that our method outperforms previously proposed methods with statistical significance and that the primary improvement is the utilization of intraday data.