• DocumentCode
    509417
  • Title

    Do Aluminum Future Returns Have Long Memory?

  • Author

    Zheng, Feng ; Cheng, Xia

  • Author_Institution
    Sch. of Econ. & Manage., North China Univ. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    26-27 Dec. 2009
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    This study examines the long memory behavior in the aluminum future returns using the rescaled range technique. The rescaled range technique is robust to detect the long-term dependence and non-period cycle in aluminum data. Our empirical results suggest that the long memory behavior in aluminum future returns is very stable. It means that the aluminum future returns follow a biased random walk. That is, they tend to trend in one direction until some exogenous event occurs to change their bias. The result of long memory and non-period cycle analysis provides new approaches for assessing the behavior of aluminum future prices.
  • Keywords
    aluminium industry; forecasting theory; random processes; time series; aluminum data; aluminum future return; biased random walk; long memory behavior; nonperiod cycle analysis; rescaled range technique; Aluminum; Data analysis; Econometrics; Finance; Fractals; Macroeconomics; Memory management; Performance analysis; Robustness; Time series analysis; Aluminum future; Rescaled Range Analysis; long memory; none-period cycles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3876-1
  • Type

    conf

  • DOI
    10.1109/ICIII.2009.322
  • Filename
    5370288