Analysis on Multifractal Characteristic of Volatility in Shanghai Stock Market
In this paper,we take the five minutes’ high-frequency data ranged from January 2,2003 to December 31,2008 of Shanghai Stock Exchange Composite Index as a sample,using the partition function method and multifractal detrended fluctuation analysis method (MF-DFA method) to calculate multifractal characteristic of realized volatility of Shanghai Index in different stages.Then we analyze the relationship between sampling frequency and the intensity of multifractal.Our study shows that the multifractal strength of realized volatility of Shanghai Index in different stages are differ from each other,at the same time,different sampling frequency also have significant influence on multifractality.
realized volatility long memory multifractality stable distribution MF-DFA
XUE Hao LI Handong
School of Management,Beijing Normal University,Beijing,China,100875
国际会议
大连
英文
131-135
2013-06-29(万方平台首次上网日期,不代表论文的发表时间)