{"title":"年化波动","authors":"Andreas Steiner","doi":"10.2139/ssrn.2007620","DOIUrl":null,"url":null,"abstract":"In this research note, we compare S&P 500 volatility figures calculated with the popular “square-root-n rule” to volatility figures derived from time-aggregated daily returns and try to reconcile the differences with popular time-series models featuring serial correlation in returns or volatilities. We show that the deviations from the square-root-n rule cannot be explained with serial correlation in returns, rather with a GARCH model. We conclude that volatility figures annualized with the square-root-n rule should not be interpreted as accurate estimates for true annual volatility. The square-root-n rule is also not suitable to standardize volatility figures for reporting purposes.","PeriodicalId":187082,"journal":{"name":"ERN: Financial Market Volatility (Topic)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Annualized Volatility\",\"authors\":\"Andreas Steiner\",\"doi\":\"10.2139/ssrn.2007620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research note, we compare S&P 500 volatility figures calculated with the popular “square-root-n rule” to volatility figures derived from time-aggregated daily returns and try to reconcile the differences with popular time-series models featuring serial correlation in returns or volatilities. We show that the deviations from the square-root-n rule cannot be explained with serial correlation in returns, rather with a GARCH model. We conclude that volatility figures annualized with the square-root-n rule should not be interpreted as accurate estimates for true annual volatility. The square-root-n rule is also not suitable to standardize volatility figures for reporting purposes.\",\"PeriodicalId\":187082,\"journal\":{\"name\":\"ERN: Financial Market Volatility (Topic)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Financial Market Volatility (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2007620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Financial Market Volatility (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2007620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this research note, we compare S&P 500 volatility figures calculated with the popular “square-root-n rule” to volatility figures derived from time-aggregated daily returns and try to reconcile the differences with popular time-series models featuring serial correlation in returns or volatilities. We show that the deviations from the square-root-n rule cannot be explained with serial correlation in returns, rather with a GARCH model. We conclude that volatility figures annualized with the square-root-n rule should not be interpreted as accurate estimates for true annual volatility. The square-root-n rule is also not suitable to standardize volatility figures for reporting purposes.