{"title":"有限区域作为金融时间序列波动的度量","authors":"Ferebee Tunno, Latia Carraway","doi":"10.1080/23737484.2021.2019143","DOIUrl":null,"url":null,"abstract":"Abstract This article presents a new way to measure the volatility of financial time series, which is shown to be on a par with arc length for such endeavors. An application involving the clustering of 30 prominent stocks is presented as well.","PeriodicalId":36561,"journal":{"name":"Communications in Statistics Case Studies Data Analysis and Applications","volume":"101 1","pages":"251 - 263"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bounded area as a measure of volatility for financial time series\",\"authors\":\"Ferebee Tunno, Latia Carraway\",\"doi\":\"10.1080/23737484.2021.2019143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This article presents a new way to measure the volatility of financial time series, which is shown to be on a par with arc length for such endeavors. An application involving the clustering of 30 prominent stocks is presented as well.\",\"PeriodicalId\":36561,\"journal\":{\"name\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"volume\":\"101 1\",\"pages\":\"251 - 263\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23737484.2021.2019143\",\"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/10.1080/23737484.2021.2019143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
Bounded area as a measure of volatility for financial time series
Abstract This article presents a new way to measure the volatility of financial time series, which is shown to be on a par with arc length for such endeavors. An application involving the clustering of 30 prominent stocks is presented as well.