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Join the club! Dynamics of global ESG indices convergence

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  • Kerkemeier, Marco
  • Kruse-Becher, Robinson

Abstract

We investigate the convergence behaviour of 18 ESG stock market indices from a global perspective. We rely on the convergence tests and clustering procedures by Phillips and Sul (2007, 2009) which are based on a time-varying nonlinear panel factor model. In particular, we find a structural break in May 2019. Prior to the break, we identify Brazil and China as co-diverging units and find some heterogeneity in relative convergence clusters for the remaining countries. After the break, we do not find only relative, but also level convergence amongst all considered countries in one single club. The structural break and its timing can be linked to significantly increased global investor attention for ESG.

Suggested Citation

  • Kerkemeier, Marco & Kruse-Becher, Robinson, 2022. "Join the club! Dynamics of global ESG indices convergence," Finance Research Letters, Elsevier, vol. 49(C).
    • Handle: RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322003099
    DOI: 10.1016/j.frl.2022.103085
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    Cited by:

    1. Foglia, Matteo & Miglietta, Federica, 2024. "Does every cloud (bubble) have a silver lining? An investigation of ESG financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    2. Marszk, Adam & Lechman, Ewa, 2024. "What drives sustainable investing? Adoption determinants of sustainable investing exchange-traded funds in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 63-82.
    3. Wan, Jieru & Yin, Libo & Wu, You, 2024. "Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 397-428.
    4. Wang, Qishu, 2023. "Herding behavior and the dynamics of ESG performance in the European banking industry," Finance Research Letters, Elsevier, vol. 58(PD).

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    More about this item

    Keywords

    ESG; Equity market convergence; Panel convergence; Variance trend break;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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