IDEAS home Printed from https://ideas.repec.org/a/bdd/journl/v12y2018i1p87-107.html
   My bibliography  Save this article

The Role of Long Memory on the Efficiency of Foreign Exchange Markets: An Ampirical Research in the Turkish Foreign Exchange Market

Author

Listed:
  • Arife OZDEMÝR
  • Gizem VERGILI
  • Ismail CELÝK

Abstract

Reflecting all the information reaching the markets in the prices, regardless of this any reason and direction, prevents predicting the future with reference to historical data and obtaining abnormal return against other investors. The aim of this paper is to reveal whether the Turkish Exchange Markets are efficient in weak form by using dual long memory models. The results of ARFIMA-FIGARCH model, which was established to examine the dual long memory, show the volatility of return has a long memory property. According to results of the research, it is determined that Turkish Foreign Exchange Market is not efficient in weak form for related analysis period. Although the future volatility of return is predictiable by taking advantage of historical data, also the volatility arisen by Central Bank’s interventions to exchange rates has been detected to fade in long term, Turkish Foreign Exchange Market which is stable, has long term equilibrium character in furtherance of the purchasing power parity theory, it can be clearly understood from the coefficient of the d parameter, which represents the long memory in volatility.

Suggested Citation

  • Arife OZDEMÝR & Gizem VERGILI & Ismail CELÝK, 2018. "The Role of Long Memory on the Efficiency of Foreign Exchange Markets: An Ampirical Research in the Turkish Foreign Exchange Market," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 12(1), pages 87-107.
  • Handle: RePEc:bdd:journl:v:12:y:2018:i:1:p:87-107
    as

    Download full text from publisher

    File URL: http://www.bddk.org.tr/Content/docs/bddkDergiEn/dergi_0023_05.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Exchange Rate; Efficient Market Hypothesis; Long Memory; ARFIMA-FIGARCH Model;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdd:journl:v:12:y:2018:i:1:p:87-107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sumeyye Azize CENGIZ (email available below). General contact details of provider: https://edirc.repec.org/data/bddgvtr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.