{"title":"用小波分析估计和分析澳大利亚股票的赫斯特指数","authors":"R. Brooks, E. Maharaj, B. Pellegrini","doi":"10.1080/17446540701367444","DOIUrl":null,"url":null,"abstract":"This article presents an estimation and analysis of the Hurst exponent for Australian stocks using the wavelet technique. Consistent with Mulligan's (2004) study of US technology stocks, we find that the Hurst exponent varies over the cross-section of stocks. We also analyse Mulligan's (2004) and our data and find that beta can explain some of the cross-sectional variation in the Hurst exponents. However, we find that our results are not robust to filtering out the short range dependence in the data.","PeriodicalId":345744,"journal":{"name":"Applied Financial Economics Letters","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Estimation and analysis of the Hurst exponent for Australian stocks using wavelet analysis\",\"authors\":\"R. Brooks, E. Maharaj, B. Pellegrini\",\"doi\":\"10.1080/17446540701367444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents an estimation and analysis of the Hurst exponent for Australian stocks using the wavelet technique. Consistent with Mulligan's (2004) study of US technology stocks, we find that the Hurst exponent varies over the cross-section of stocks. We also analyse Mulligan's (2004) and our data and find that beta can explain some of the cross-sectional variation in the Hurst exponents. However, we find that our results are not robust to filtering out the short range dependence in the data.\",\"PeriodicalId\":345744,\"journal\":{\"name\":\"Applied Financial Economics Letters\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Financial Economics Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17446540701367444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Financial Economics Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17446540701367444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation and analysis of the Hurst exponent for Australian stocks using wavelet analysis
This article presents an estimation and analysis of the Hurst exponent for Australian stocks using the wavelet technique. Consistent with Mulligan's (2004) study of US technology stocks, we find that the Hurst exponent varies over the cross-section of stocks. We also analyse Mulligan's (2004) and our data and find that beta can explain some of the cross-sectional variation in the Hurst exponents. However, we find that our results are not robust to filtering out the short range dependence in the data.
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