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Examining Dynamic Interdependencies Among Major Global Financial Markets

Author

Listed:
  • Sanjay Sehgal

    (University of Delhi, India)

  • Sakshi Saini

    (Institute of Economic Growth, India)

  • Florent Deisting

    (Groupe ESC Pau, France)

Abstract

This paper investigates dynamic interdependencies among major global financial markets from January 1999 to April 2017 by examining their risk and return spillovers. Risk and return interactions are also analyzed within the sample markets. Using block-aggregation technique under the Diebold-Yilmaz framework, strong information linkages are observed among the global equity markets that intensify during the crisis period. Results establish the dominance of the US in the global financial system based on information linkages. Further, systematic factors are found to be more prevalent in spillovers among return and volatility as compared to idiosyncratic factors. With regards to interaction between risk and return, results reveal return spillovers of high magnitude onto risk and almost negligible risk spillovers onto return. These findings have important implications for international investors and policymakers.

Suggested Citation

  • Sanjay Sehgal & Sakshi Saini & Florent Deisting, 2019. "Examining Dynamic Interdependencies Among Major Global Financial Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 23(1-2), pages 103-139, March - J.
    • Handle: RePEc:mfj:journl:v:23:y:2019:i:1-2:p:103-139
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    References listed on IDEAS

    as
    1. Belke, Ansgar & Dubova, Irina, 2018. "International spillovers in global asset markets," Economic Systems, Elsevier, vol. 42(1), pages 3-17.
    2. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    3. Alotaibi, Abdullah R. & Mishra, Anil V., 2015. "Global and regional volatility spillovers to GCC stock markets," Economic Modelling, Elsevier, vol. 45(C), pages 38-49.
    4. John Beirne & Jana Gieck, 2014. "Interdependence and Contagion in Global Asset Markets," Review of International Economics, Wiley Blackwell, vol. 22(4), pages 639-659, September.
    5. Badshah, Ihsan & Frijns, Bart & Knif, Johan & Tourani-Rad, Alireza, 2016. "Asymmetries of the intraday return-volatility relation," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 182-192.
    6. Al Nasser, Omar M. & Hajilee, Massomeh, 2016. "Integration of emerging stock markets with global stock markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 1-12.
    7. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2017. "The asymmetric relationship between returns and implied volatility: Evidence from global stock markets," Journal of Financial Stability, Elsevier, vol. 30(C), pages 156-174.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Francisco Jareño & Ana Escribano & Monika W. Koczar, 2020. "Non-Linear Interdependencies between International Stock Markets: The Polish and Spanish Case," Mathematics, MDPI, vol. 9(1), pages 1-21, December.

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    More about this item

    Keywords

    financial markets; Diebold and Yilmaz; spillovers; conditional volatility;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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