IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v25y2018i20p1447-1453.html
   My bibliography  Save this article

Has co-movement dynamics in emerging stock markets changed after global financial crisis? New evidence from wavelet analysis

Author

Listed:
  • Debojyoti Das
  • M. Kannadhasan
  • Aviral Kumar Tiwari
  • Khamis Hamed Al-Yahyaee

Abstract

In this article, we revisit the issue of contagion, interdependence and changes in correlation structure after the Global Financial Crisis (GFC) of 2008 between developed and emerging markets in a time-frequency domain using a wavelet-based approach for the period spanning over 1 January 1999 to 8 November 2016. We report evidences of: (a) weaker contagion for Latin American emerging markets during GFC, (b) a strong contagion effect for emerging markets in Europe and the Middle East and (c) a fall in long-run co-movements after GFC, which means by investing in emerging markets, the diversification benefits can be derived in the long run. We report evidence of coexistence of contagion and permanent change in correlation structure.

Suggested Citation

  • Debojyoti Das & M. Kannadhasan & Aviral Kumar Tiwari & Khamis Hamed Al-Yahyaee, 2018. "Has co-movement dynamics in emerging stock markets changed after global financial crisis? New evidence from wavelet analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 25(20), pages 1447-1453, November.
  • Handle: RePEc:taf:apeclt:v:25:y:2018:i:20:p:1447-1453
    DOI: 10.1080/13504851.2018.1430307
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2018.1430307
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2018.1430307?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Mariya Gubareva & Zaghum Umar, 2023. "Emerging market debt and the COVID‐19 pandemic: A time–frequency analysis of spreads and total returns dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 112-126, January.
    2. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    3. Mukesh Kumar & Sanjeev Prashar & RK Jana, 2019. "Does international tourism spur international trade and output? Evidence from wavelet analysis," Tourism Economics, , vol. 25(1), pages 22-33, February.
    4. Marcos Albuquerque Junior & José António Filipe & Paulo de Melo Jorge Neto & Cristiano da Costa da Silva, 2021. "Assessing the Time-Frequency Co-Movements among the Five Largest Engineering Consulting Companies: A Wavelet-Base Metrics of Contagion and VaR Ratio," Mathematics, MDPI, vol. 9(5), pages 1-16, March.
    5. Kannadhasan, M. & Das, Debojyoti, 2020. "Do Asian emerging stock markets react to international economic policy uncertainty and geopolitical risk alike? A quantile regression approach," Finance Research Letters, Elsevier, vol. 34(C).
    6. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Yarovaya, Larisa & Ali, Shoaib, 2023. "Tail-event driven NETwork dependence in emerging markets," Emerging Markets Review, Elsevier, vol. 55(C).
    7. Grabowski, Wojciech & Janus, Jakub & Stawasz-Grabowska, Ewa, 2023. "The COVID-19 pandemic and financial markets in Central Europe: Macroeconomic measures and international policy spillovers," Emerging Markets Review, Elsevier, vol. 54(C).
    8. Duc Huynh, Toan Luu & Burggraf, Tobias & Wang, Mei, 2020. "Gold, platinum, and expected Bitcoin returns," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    9. Sahabuddin, Mohammad & Muhammad, Junaina & Yahya, Mohamed Hisham & Mohammed Shah, Sabarina, 2020. "Co-movements between Islamic and Conventional Stock Markets: An Empirical Evidence," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 27-40.
    10. M. Kannadhasan & Debojyoti Das, 2019. "Has Co-Movement Dynamics in Brazil, Russia, India, China and South Africa (BRICS) Markets Changed After Global Financial Crisis? New Evidence from Wavelet Analysis," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(1), pages 1-26.

    More about this item

    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:taf:apeclt:v:25:y:2018:i:20:p:1447-1453. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.