IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56907.html
   My bibliography  Save this paper

Testing the Conventional and Islamic Financial Market Contagion: Evidence from Wavelet Analysis

Author

Listed:
  • Saiti, Buerhan
  • Bacha, Obiyathulla
  • Masih, Mansur

Abstract

A major issue facing the investors in the financial markets of the contemporary world is to identify whether the observed stock market fluctuations are due mainly to contagion or fundamentals. This is due to the fact that if the fluctuations are mainly due to a contagion, then it is something like a ‘virus’ which would disappear after a few days. In contrast, if the fluctuations are mainly due to fundamentals, then it is something like a ‘pneumonia’ which is likely to continue for a long time. This study is the first attempt at testing whether there has been any contagion among the Shari’ah-compliant stock indexes during the most recent international financial crisis: the US subprime crisis of 2007-2009 and the Lehman Brothers collapse in 2008, with the application of a time-frequency decomposition technique known as ‘wavelet approach’ both in discrete and continuous forms recently imported to finance from engineering sciences. We analyze the daily data covering the period from June 2005 to December 2011 for the 18 MSCI conventional and Islamic stock market indexes of the Islamic (Malaysia, Indonesia, Turkey, GCC ex-Saudi) and non-Islamic countries (Japan, China, Korea, Taiwan and Hong Kong). Our study is focused on investigating the following empirical question: are the co-movements of selective stock markets normal (interdependent) or excessive (contagious) during the first and the second wave of the financial crisis? Our findings based on the time-frequency decomposition of wavelet approach are as follows: i) The wavelet correlation analysis indicates that, there is no clear evidence of contagion at any time-scales during the subprime mortgage crisis in USA; ii) However, during the collapse of Lehman Brothers, in all conventional stock indexes of non-Islamic countries except Japan, the wavelet correlation coefficients changed significantly at the first time-scale implying that there was a clear evidence of contagion at the first time-scale iii) But the conventional stock indexes of Islamic countries did not suffer from contagion excepting Indonesian MSCI stock index due to overlapping of confidence intervals iv) In all Islamic stock indexes in both Islamic and non-Islamic countries excepting China and Hong Kong Islamic MSCI indexes, the wavelet correlation coefficients changed insignificantly at all scales. Therefore, we fail to reject the null hypothesis implying that there was no clear evidence of contagion at all time-scales excepting China and Hong Kong. Additionally, for robustness, we studied the dynamic correlations between two continuous wavelet transforms through wavelet coherency analysis. The findings whether the stock comovements triggered by the financial crises were showing interdependence or contagion are plausible and intuitive and have implications for both the conventional and Shari’ah-compliant stock markets in terms of asset allocation strategy of risk managers and for policymakers’ optimal policy response to crises.

Suggested Citation

  • Saiti, Buerhan & Bacha, Obiyathulla & Masih, Mansur, 2014. "Testing the Conventional and Islamic Financial Market Contagion: Evidence from Wavelet Analysis," MPRA Paper 56907, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56907
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56907/1/MPRA_paper_56907.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kaminsky, Graciela L. & Reinhart, Carmen M., 2000. "On crises, contagion, and confusion," Journal of International Economics, Elsevier, vol. 51(1), pages 145-168, June.
    2. Seif El-Din Tag El-Din & M. Kabir Hassan, 2007. "Islam and Speculation in the Stock Exchange," Chapters, in: M. Kabir Hassan & Mervyn K. Lewis (ed.), Handbook of Islamic Banking, chapter 15, Edward Elgar Publishing.
    3. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    4. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    5. Carmen M. Reinhart, 2002. "An Introduction," The World Bank Economic Review, World Bank, vol. 16(2), pages 149-150, August.
    6. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.
    7. Aït-Sahalia, Yacine & Cacho-Diaz, Julio & Laeven, Roger J.A., 2015. "Modeling financial contagion using mutually exciting jump processes," Journal of Financial Economics, Elsevier, vol. 117(3), pages 585-606.
    8. Ahlgren, Niklas & Antell, Jan, 2010. "Stock market linkages and financial contagion: A cobreaking analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 157-166, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Burzala, Milda Maria, 2016. "Contagion effects in selected European capital markets during the financial crisis of 2007–2009," Research in International Business and Finance, Elsevier, vol. 37(C), pages 556-571.
    2. el Alaoui, AbdelKader O. & Ismath Bacha, Obiyathulla & Masih, Mansur & Asutay, Mehmet, 2017. "Leverage versus volatility: Evidence from the capital structure of European firms," Economic Modelling, Elsevier, vol. 62(C), pages 145-160.
    3. Avishek Bhandari, 2020. "A wavelet analysis of inter-dependence, contagion and long memory among global equity markets," Papers 2003.14110, arXiv.org.
    4. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    5. Ginanjar Dewandaru & Rumi Masih & Mansur Masih, 2018. "Unraveling the Financial Contagion in European Stock Markets During Financial Crises: Multi-Timescale Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 859-880, March.
    6. Lin, Fu-Lai & Chen, Yu-Fen & Yang, Sheng-Yung, 2016. "Does the value of US dollar matter with the price of oil and gold? A dynamic analysis from time–frequency space," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 59-71.
    7. Ryuta Sakemoto, 2022. "Multi‐scale inter‐temporal capital asset pricing model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4298-4317, October.
    8. Ftiti, Zied & Guesmi, Khaled & Abid, Ilyes, 2016. "Oil price and stock market co-movement: What can we learn from time-scale approaches?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 266-280.
    9. Gazi Salah Uddin & Aviral Kumar Tiwari, 2013. "Measuring co-movement of oil price and exchange rate differential in Bangladesh," Economics Bulletin, AccessEcon, vol. 33(3), pages 1922-1930.
    10. Mensi, Walid & Ur Rehman, Mobeen & Maitra, Debasish & Hamed Al-Yahyaee, Khamis & Sensoy, Ahmet, 2020. "Does bitcoin co-move and share risk with Sukuk and world and regional Islamic stock markets? Evidence using a time-frequency approach," Research in International Business and Finance, Elsevier, vol. 53(C).
    11. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2016. "What can wavelets unveil about the vulnerabilities of monetary integration? A tale of Eurozone stock markets," Economic Modelling, Elsevier, vol. 52(PB), pages 981-996.
    12. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    13. Farouk, Faizal & Masih, Mansur, 2016. "Are there profit (returns) in Shariah-compliant exchange traded funds? The multiscale propensity," Research in International Business and Finance, Elsevier, vol. 38(C), pages 360-375.
    14. Ijaz Younis & Cheng Longsheng & Muhammad Farhan Basheer & Ahmed Shafique Joyo, 2020. "Stock market comovements among Asian emerging economies: A wavelet-based approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-23, October.
    15. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
    16. repec:ipg:wpaper:2014-062 is not listed on IDEAS
    17. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2017. "Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 536-547.
    18. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 167-180.
    19. Nicholas G. Polson & James G. Scott, 2011. "An empirical test for Eurozone contagion using an asset-pricing model with heavy-tailed stochastic volatility," Papers 1110.5789, arXiv.org, revised Mar 2012.
    20. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
    21. Raddant, Matthias & Kenett, Dror Y., 2021. "Interconnectedness in the global financial market," Journal of International Money and Finance, Elsevier, vol. 110(C).
    22. Zied Ftiti & Aviral Tiwari & Amél Belanès, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-62, Department of Research, Ipag Business School.

    More about this item

    Keywords

    Wavelet time-frequency decompositions; Contagion; Interdependence; Wavelet Correlation; Wavelet coherence; conventional and Shari’ah-Compliant Stock markets;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • P5 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems

    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:56907. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.