{"title":"Return Intervals Analysis of the Hong Kong Stock Market","authors":"Hong Zhang, Nianpeng Wang, Keqiang Dong","doi":"10.1109/CINC.2009.108","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze the Hang Seng Index data for the 22-year period, from December 31, 1986, to June 6,2008 in the Hongkong stock market, a total of 5315 trading days. Using rescaled range method, we study how the threshold value q affects the correlations of the return intervals s r(τ ) between events above a certain threshold q. We find that: i) both return intervals obtained by different threshold q and the original series are arranged in long-range dependence behavior; ii) the correlations of the return intervals grow stronger when the threshold q is larger.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2009.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we analyze the Hang Seng Index data for the 22-year period, from December 31, 1986, to June 6,2008 in the Hongkong stock market, a total of 5315 trading days. Using rescaled range method, we study how the threshold value q affects the correlations of the return intervals s r(τ ) between events above a certain threshold q. We find that: i) both return intervals obtained by different threshold q and the original series are arranged in long-range dependence behavior; ii) the correlations of the return intervals grow stronger when the threshold q is larger.