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Climate Physical Risk and Asian Stock Market Returns

Author

Listed:
  • Marina Albanese
  • Guglielmo Maria Caporale
  • Ida Colella
  • Nicola Spagnolo

Abstract

This study provides new evidence on the impact of climate physical risk (as measured by the Global Climate Risk Index (CRI) from Germanwatch) on stock market returns. Specifically, a panel model with fixed effects is estimated using annual data from 2007 to 2021 for a set of 65 countries as well as for a subset of 18 Asian ones, which are also divided in two clusters on the basis of their degree of market capitalisation. The results suggest a negative impact of climate physical risk on stock markets; this effect is more pronounced in Asian countries with lower market capitalisation, which are perceived as riskier.

Suggested Citation

  • Marina Albanese & Guglielmo Maria Caporale & Ida Colella & Nicola Spagnolo, 2024. "Climate Physical Risk and Asian Stock Market Returns," CESifo Working Paper Series 11222, CESifo.
    • Handle: RePEc:ces:ceswps:_11222
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    File URL: https://www.ifo.de/DocDL/cesifo1_wp11222.pdf
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    References listed on IDEAS

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    1. Bua, Giovanna & Kapp, Daniel & Ramella, Federico & Rognone, Lavinia, 2022. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," Working Paper Series 2677, European Central Bank.
    2. Khushboo Aggarwal & Mithilesh Kumar Jha, 2023. "Stock returns seasonality in emerging asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 109-130, March.
    3. Channing Arndt & Chris Loewald & Konstantin Makrelov, 2020. "Climate change and its implications for central banks in emerging and developing economies," Working Papers 10001, South African Reserve Bank.
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    Cited by:

    1. Albanese, Marina & Caporale, Guglielmo Maria & Colella, Ida & Spagnolo, Nicola, 2026. "Climate policies, energy shocks and spillovers between green and brown stock price indices," International Review of Economics & Finance, Elsevier, vol. 106(C).

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    Keywords

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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