English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51639442      Online Users : 531
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/12409


    Title: Long Memory and Sampling Frequencies: Evidence in Stock Index Futures Markets
    Authors: 謝淑貞
    Shieh,Shwu-Jane
    Keywords: Long memory;detrended fluctuation analysis;contrarian strategy;ARFIMA (p, d, q)
    Date: 2006-03
    Issue Date: 2008-12-03 13:48:20 (UTC+8)
    Abstract: The long-term dependent behavior in the close prices of the S&P 500, Nikkei 225, and Dow Jones index futures contracts are investigated by using the ARFIMA (p, d, q) model to estimate the order of the fractional integration parameters for a large range of sampling frequencies: from one-minute to monthly frequencies. The empirical evidence shows that the close prices exhibit anti-persistence properties for most of the sampling frequencies. This suggests that the contrarian`s trading strategies in relation to stock index futures markets have a positive value. Moreover, the empirical evidence indicates that the higher frequency of the data, the stronger degree of contrarian behaviors, particularly for S&P 500 and Dow Jones stock index futures contracts.
    Relation: International Journal of Theoretical and Applied Finance, 9(5), 787-799
    Data Type: article
    Appears in Collections:[國際經營與貿易學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    787-799.pdf201KbAdobe PDF2865View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback