IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00103119.html
   My bibliography  Save this paper

Emerging Equity market Volatility: An empirical Investigation of Emergent market: Kenya Nigeria

Author

Listed:
  • G. Ogum

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • F. Beer

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • G. Nouyrigat

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

Abstract

No abstract is available for this item.

Suggested Citation

  • G. Ogum & F. Beer & G. Nouyrigat, 2005. "Emerging Equity market Volatility: An empirical Investigation of Emergent market: Kenya Nigeria," Post-Print halshs-00103119, HAL.
  • Handle: RePEc:hal:journl:halshs-00103119
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Atoi, Ngozi Victor & Nwambeke, Chinedu G., 2021. "Money and Foreign Exchange Markets Dynamics in Nigeria: A Multivariate GARCH Approach," MPRA Paper 109305, University Library of Munich, Germany.
    2. Neeti Mathur & Himanshu Mathur, 2020. "Application of GARCH Models For Volatility Modelling of Stock Market Returns: Evidences From BSE India," Proceedings of Business and Management Conferences 10112533, International Institute of Social and Economic Sciences.
    3. Samuel Olorunfemi Adams & Tanimu Mohammed & Samuel Olorunfemi Adams, 2022. "Modeling The Volatility For Some Selected Beverages Stock Returns In Nigeria (2012-2021): A Garch Model Approach," Matrix Science Mathematic (MSMK), Zibeline International Publishing, vol. 6(2), pages 41-51, November.
    4. Yaya, OlaOluwa S. & Gil-Alana, Luis A., 2014. "The persistence and asymmetric volatility in the Nigerian stock bull and bear markets," Economic Modelling, Elsevier, vol. 38(C), pages 463-469.
    5. Jordan Ngu Chuan Yong & Sayyed Mahdi Ziaei & Kenneth R. Szulczyk, 2021. "The Impact of Covid-19 Pandemic on Stock Market Return Volatility: Evidence from Malaysia and Singapore," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 191-204, March.
    6. Ekong, Christopher N. & Onye, Kenneth U., 2017. "Application of Garch Models to Estimate and Predict Financial Volatility of Daily Stock Returns in Nigeria," MPRA Paper 88309, University Library of Munich, Germany.
    7. Kalu O. Emenike & Omweno N. Enock, 2020. "How Does News Affect Stock Return Volatility in a Frontier Market?," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(4), pages 433-443, November.
    8. Tosin B. Fateye & Oluwaseun D. Ajay & Cyril A. Ajay, 2021. "Modelling of Daily Price Volatility of South Africa Property Stock Market Using GARCH Analysis," AfRES 2021-013, African Real Estate Society (AfRES).
    9. Caroline Michere Ndei & Stephen Muchina & Kennedy Waweru, 2019. "Modeling stock market return volatility in the presence of structural breaks: Evidence from Nairobi Securities Exchange, Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(5), pages 156-171, September.
    10. Frimpong, Joseph Magnus & Oteng-Abayie, Eric Fosu, 2006. "Modelling and Forecasting Volatility of Returns on the Ghana Stock Exchange Using GARCH Models," MPRA Paper 593, University Library of Munich, Germany, revised 07 Oct 2006.

    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:hal:journl:halshs-00103119. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.