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International Stock Comovements with Endogenous Clusters

Author

Listed:
  • Laura Coroneo
  • Laura E. Jackson
  • Michael T. Owyang

Abstract

We examine international stock return comovements of country-industry portfolios. Our model allows comovements to be driven by a global and a cluster component, with the cluster membership endogenously determined. Results indicate that country-industry portfolios tend to cluster mainly within geographical areas that can include one or more countries. The cluster compositions substantially changed over time, with the emergence of clusters among European countries from the early 2000s. The cluster component was the main driver of country-industry portfolio returns for most of the sample, except from the mid-2000s to the mid-2010s when the global component had a more prominent role.

Suggested Citation

  • Laura Coroneo & Laura E. Jackson & Michael T. Owyang, 2018. "International Stock Comovements with Endogenous Clusters," Working Papers 2018-038, Federal Reserve Bank of St. Louis, revised 27 Mar 2020.
    • Handle: RePEc:fip:fedlwp:2018-038
    DOI: 10.20955/wp.2018.038
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    Cited by:

    1. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    2. Liu, Yuntong & Wei, Yu & Wang, Qian & Liu, Yi, 2022. "International stock market risk contagion during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    3. Iulia LUPU & Adina CRISTE & Anca Dana DRAGU & Teodora Daniela ALBU, 2024. "Volatility Transitions in European Stock Markets: A Clustering-Based Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 65-80, October.
    4. Xiang, XueTing & Lim, Kian-Ping & Ong, Sheue-Li, 2025. "The dynamics and drivers of global market integration: Regional and cultural factors matter," Research in International Business and Finance, Elsevier, vol. 78(C).

    More about this item

    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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