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Dynamic network analysis of North American financial institutions

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  • Liu, Shaowen
  • Caporin, Massimiliano
  • Paterlini, Sandra

Abstract

We propose a state-space model to estimate the dynamic network among financial institutions selected from STOXX600 North America in the period from January 2005 to May 2020. We measure the network strength and find that the spillover effect increases significantly during the 2008 financial crisis and the coronavirus pandemic. Using weekly updates of the weight matrix, we detect four time-varying communities. Three communities mostly include companies of the financial supersectors, while the remaining includes Canadian companies. Furthermore, the communities centralities peak during the 2008 financial crisis, while during the COVID-19 period lower values are estimated.

Suggested Citation

  • Liu, Shaowen & Caporin, Massimiliano & Paterlini, Sandra, 2021. "Dynamic network analysis of North American financial institutions," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612321000027
    DOI: 10.1016/j.frl.2021.101921
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    References listed on IDEAS

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    Cited by:

    1. García, Javier Sánchez & Rambaud, Salvador Cruz, 2023. "Macrofinancial determinants of volatility transmission in a network of European sovereign debt markets," Finance Research Letters, Elsevier, vol. 53(C).
    2. Raffaele Mattera & Philipp Otto, 2023. "Network log-ARCH models for forecasting stock market volatility," Papers 2303.11064, arXiv.org.
    3. Wang, Ze & Gao, Xiangyun & Huang, Shupei & Sun, Qingru & Chen, Zhihua & Tang, Renwu & Di, Zengru, 2022. "Measuring systemic risk contribution of global stock markets: A dynamic tail risk network approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    4. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    5. Juan Li & Keyin Liu & Zixin Yang & Yi Qu, 2023. "Evolution and Impacting Factors of Global Renewable Energy Products Trade Network: An Empirical Investigation Based on ERGM Model," Sustainability, MDPI, vol. 15(11), pages 1-27, May.

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    More about this item

    Keywords

    Financial network; Dynamic network; COVID19; Financial contagion; Financial crises;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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