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Short and long memory in stock returns data

  • John Goddard*
  • , Enrico Onali
  • *Corresponding author for this work
    • Bangor University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The properties of an iterative procedure for the estimation of the parameters of an ARFIMA process are investigated in a Monte Carlo study. The estimation procedure is applied to stock returns data for 15 countries.

    Original languageEnglish
    Pages (from-to)253-255
    Number of pages3
    JournalEconomics Letters
    Volume117
    Issue number1
    Early online date22 May 2012
    DOIs
    Publication statusPublished - Oct 2012

    Keywords

    • fractional integration
    • long memory
    • Monte Carlo study
    • stock returns

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