IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/84263.html
   My bibliography  Save this paper

استخدام نماذج Arch لنمذجة تقلبات أسعار الأسهم في سوق المال السعودي - دراسة حالة شركة اتحاد اتصالات السعودية –
[Modelling Saudi Stock Market Volatility Using ARCH Models –Case Study : Etihad Etisalat Saudi Arabia –]

Author

Listed:
  • LEGOUGUI, Fateh
  • CHIKHI, Mohamed

Abstract

يهدف هذا البحث إلى نمذجة أسعار أسهم الإغلاق اليومية لشركة اتحاد اتصالات السعودية المدرجة ضمن قطاع الاتصالات في سوق المال السعودي خلال الفترة الممتدة من 01 جانفي 2010 إلى غاية 31 ديسمبر 2015. وبعد استخدام العديد من نماذج ARCH المتناظرة وغير المتناظرة، وجدنا من خلال المفاضلة بين هذه النماذج و بناءا على عدة معايير أن أحسن نموذج يمكنه تمثيل السلسلة الزمنية لأسعار الأسهم هو نموذج ARIMA(1,1,3) مع خطأ TGARCH(1,1). و أظهرت النتائج أيضا أن الصدمات الموجبة المترافقة مع الأخبار الجيدة تعطي تقلبات أقل حدة من تلك الصدمات السالبة المترافقة مع الأخبار السيئة. The aim of this paper is to model the daily closing prices of Etihad Etisalat in the Saudi's telecom sector during the period from 01 January 2010 to 31 December 2015. After using and comparing many symmetric and asymmetric ARCH models, we found that the best model, which represent the stock price series is ARIMA(1,1,3)-TGARCH(1,1). The results also showed that positive shocks associated with good news give less severe fluctuations than negative shocks associated with bad news

Suggested Citation

  • LEGOUGUI, Fateh & CHIKHI, Mohamed, 2017. "استخدام نماذج Arch لنمذجة تقلبات أسعار الأسهم في سوق المال السعودي - دراسة حالة شركة اتحاد اتصالات السعودية – [Modelling Saudi Stock Market Volatility Using ARCH Models –Case Study : Etihad Etisala," MPRA Paper 84263, University Library of Munich, Germany, revised Oct 2017.
  • Handle: RePEc:pra:mprapa:84263
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/84263/1/MPRA_paper_84263.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    الكلمات المفتاحية: السوق المالي، نماذج ARIMA، نماذج ARCH، أسعار الأسهم.;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:84263. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.