• DocumentCode
    3625978
  • Title

    Long-Term Dependence Analysis in Index Return and Absolute Return Series of Turkish Stock Market

  • Author

    Cengiz Bektas;Suleyman Baykut;Tayfun Akgul

  • Author_Institution
    Elektronik ve Haberle?me M?hendisli?i B?l?m?, ?stanbul Teknik ?niversitesi, ?stanbul. bektasc@itu.edu.tr
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study analyzes the long-term dependence in daily index "Return" and "Absolute Return" series of ISE National-All, National-100, National-30 and additionally 17 sectoral indices of Turkish stock market. Long-term dependence can be measured by a single Hurst (W) or relatedly the fractional differencing parameter (d). The data are analyzed by using four different parameter estimation methods namely wavelet based estimation method, periodogram based estimation method, Kettani-Gubner Methods for SOSS processes and FAR1MA (0, d, 0) processes. For the return series; long-term dependence is not observed in ISE National-All, National-100 and National-30 data. Long-term dependence is also not found in 13 of 17 sectoral index return series. Remaining 4 sectoral indices namely XFINK, XTRZM, XTEKS and XYORT are found long-term dependent. For the absolute return series; long-term dependence is found in all of the index data.
  • Keywords
    "Stock markets","Internet","Data analysis","Parameter estimation","Wavelet analysis"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0719-2
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298853
  • Filename
    4298853