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Interconnectedness in the Global Financial Market

Author

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  • Matthias Raddant

    () (Kiel Institute for the World Economy and Kiel University)

  • Dror Y. Kenett

    () (Office of Financial Research)

Abstract

The global financial system is highly complex, with cross-border interconnections and interdependencies. In this highly interconnected environment, local financial shocks and events can be easily amplified and turned into global events. New models are needed to capture the structure of the global financial village and uncover channels of spillover and contagion. This paper analyzes the dependencies among nearly 4,000 stocks from 15 countries. The returns are normalized by the estimated volatility using a GARCH model and a robust regression process estimates pairwise statistical relationships between stocks from different markets. The estimation results are used as a measure of statistical interconnectedness, and to derive network representations, both by country and by sector. The results show that countries like the United States and Germany are in the core of the global stock market. The energy, materials, and financial sectors play an important role in connecting markets, and this role has increased over time for the energy and materials sectors. The framework provides the means to monitor interconnectedness in the global financial system on different aggregation levels, and to show how they evolve in time.

Suggested Citation

  • Matthias Raddant & Dror Y. Kenett, 2016. "Interconnectedness in the Global Financial Market," Working Papers 16-09, Office of Financial Research, US Department of the Treasury.
  • Handle: RePEc:ofr:wpaper:16-09
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    Cited by:

    1. Belke, Ansgar & Dubova, Irina, 2018. "International spillovers in global asset markets," Economic Systems, Elsevier, vol. 42(1), pages 3-17.
    2. Liow, Kim Hiang & Huang, Yuting, 2018. "The dynamics of volatility connectedness in international real estate investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 195-210.
    3. Haiming Long & Ji Zhang & Nengyu Tang, 2017. "Does network topology influence systemic risk contribution? A perspective from the industry indices in Chinese stock market," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-19, July.
    4. Chowdhury, Biplob & Dungey, Mardi & Kangogo, Moses & Sayeed, Mohammad Abu & Volkov, Vladimir, 2019. "The changing network of financial market linkages: The Asian experience," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 71-92.
    5. Tian, Hu & Zheng, Xiaolong & Zeng, Daniel Danjun, 2019. "Analyzing the dynamic sectoral influence in Chinese and American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    6. Kim Hiang LIOW & Jeongseop SONG, 2019. "Market Integration Among the US and Asian Real Estate Investment Trusts in Crisis Times," International Real Estate Review, Asian Real Estate Society, vol. 22(4), pages 463-512.
    7. Financial Stability Committee, Task Force on cross-border Spillover Effects of macroprudential measures & Kok, Christoffer & Reinhardt, Dennis, 2020. "Cross-border spillover effects of macroprudential policies: a conceptual framework," Occasional Paper Series 242, European Central Bank.

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    More about this item

    Keywords

    Asset markets; Comovement; Financial networks; Interconnectedness;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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