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  • 标题:Comparable Analysis of Long-term Memory of EUR/USD Based on Non-parametrical Statistics
  • 本地全文:下载
  • 作者:Fei-xue HUANG ; Jian-dong JIN ; Yan-xi LI
  • 期刊名称:Management Science and Engineering
  • 印刷版ISSN:1913-0341
  • 电子版ISSN:1913-035X
  • 出版年度:2010
  • 卷号:4
  • 期号:3
  • 页码:117-127
  • DOI:10.3968/j.mse.1913035X20100403.013
  • 语种:English
  • 出版社:Canadian Research & Development Center of Sciences and Cultures
  • 摘要:Non-parameter statistical methods of classical R/S, revised R/S and V/S was proposed in long-term Memory of EUR/USD. It was concluded through comparable analysis that: (1) Through Normality Test of Return Sequences of EUR/USD Daily Closing Prices, the experimental results imply that bias of daily return sequences of EUR/USD is not equal to zero, and the curve appears to high peak and fat tail. (2) Jarque-Bera test is adopted. The estimated values reject the null hypothesis of normal distribution. (3) The paper estimates daily return series of EUR/USD using classical R/S method. The results show that Hurst exponent is equal to 0.612425; the statistical cycle is 160 days; the correlative scale is close to 1.3432. This study's conclusion was that long-term memory exists in daily return time series of EUR/USD is proved.Key words: rescaled range (R/S) analysis; rescaled variance (V/S) analysis; long-term memory
  • 其他摘要:Non-parameter statistical methods of classical R/S, revised R/S and V/S was proposed in long-term Memory of EUR/USD. It was concluded through comparable analysis that: (1) Through Normality Test of Return Sequences of EUR/USD Daily Closing Prices, the experimental results imply that bias of daily return sequences of EUR/USD is not equal to zero, and the curve appears to high peak and fat tail. (2) Jarque-Bera test is adopted. The estimated values reject the null hypothesis of normal distribution. (3) The paper estimates daily return series of EUR/USD using classical R/S method. The results show that Hurst exponent is equal to 0.612425; the statistical cycle is 160 days; the correlative scale is close to 1.3432. This study's conclusion was that long-term memory exists in daily return time series of EUR/USD is proved.Key words: rescaled range (R/S) analysis; rescaled variance (V/S) analysis; long-term memory
  • 关键词:rescaled range (R/S) analysis;rescaled variance (V/S) analysis;long-term memory
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