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Extreme temperatures and the profitability of large European firms

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  • Bellocca, Gian Pietro Enzo
  • Poncela Blanco, Maria Pilar

Abstract

In this paper, we analyze the impact of temperature exposure on the earnings per share of large European firms over the 21st century. Our findings reveal that earnings are sensitive to extreme temperatures across a large proportion of sectors. Depending on the sector and quarter, exposure to extreme temperatures can have either a positive or negative impact on profitability. Our analysis shows a greater percentage of sectors affected in Europe compared to the US, likely due to Europe's broader temperature variability from the northern Baltic to the southern Mediterranean regions. We observe that most sectors experience effects during the milder seasons of spring and autumn, being positive in most cases. The lack of a clear negative effect of extreme temperatures over firm's profitability points out one of the reasons why it is so difficult to fight against climate change, while being harmful, it can be profitable. Additionally, we highlight a concerning trend regarding a steady increase in European investments in sectors that are solely negatively impacted by extreme temperatures, which grew from around 16% in 2015 to over 23% in 2022.

Suggested Citation

  • Bellocca, Gian Pietro Enzo & Poncela Blanco, Maria Pilar, 2024. "Extreme temperatures and the profitability of large European firms," DES - Working Papers. Statistics and Econometrics. WS 44217, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:44217
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    1. Alberto Cavallo & Eduardo Cavallo & Roberto Rigobon, 2014. "Prices and Supply Disruptions during Natural Disasters," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 449-471, November.
    2. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    3. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    4. Steve Miller & Kenn Chua & Jay Coggins & Hamid Mohtadi, 2021. "Heat Waves, Climate Change, and Economic Output," Journal of the European Economic Association, European Economic Association, vol. 19(5), pages 2658-2694.
    5. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    6. Wooldridge, Jeffrey M., 2023. "What is a standard error? (And how should we compute it?)," Journal of Econometrics, Elsevier, vol. 237(2).
    7. Duan, Tinghua & Li, Frank Weikai, 2024. "Climate change concerns and mortgage lending," Journal of Empirical Finance, Elsevier, vol. 75(C).
    8. Christo Pirinsky & Qinghai Wang, 2006. "Does Corporate Headquarters Location Matter for Stock Returns?," Journal of Finance, American Finance Association, vol. 61(4), pages 1991-2015, August.
    9. George M. Korniotis & Alok Kumar, 2013. "State-Level Business Cycles and Local Return Predictability," Journal of Finance, American Finance Association, vol. 68(3), pages 1037-1096, June.
    10. Chen, Xiaoguang & Yang, Lu, 2019. "Temperature and industrial output: Firm-level evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 257-274.
    11. Tinghua Duan & Frank Weikai Li, 2024. "Climate change concerns and mortgage lending," Post-Print hal-04543631, HAL.
    12. Ortega, Francesc & Taṣpınar, Süleyman, 2018. "Rising sea levels and sinking property values: Hurricane Sandy and New York’s housing market," Journal of Urban Economics, Elsevier, vol. 106(C), pages 81-100.
    13. Jawad M Addoum & David T Ng & Ariel Ortiz-Bobea & Harrison Hong, 2020. "Temperature Shocks and Establishment Sales," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1331-1366.
    14. Addoum, Jawad M. & Ng, David T. & Ortiz-Bobea, Ariel, 2023. "Temperature shocks and industry earnings news," Journal of Financial Economics, Elsevier, vol. 150(1), pages 1-45.
    15. Bernstein, Asaf & Gustafson, Matthew T. & Lewis, Ryan, 2019. "Disaster on the horizon: The price effect of sea level rise," Journal of Financial Economics, Elsevier, vol. 134(2), pages 253-272.
    16. Oliver E. J. Wing & Nicholas Pinter & Paul D. Bates & Carolyn Kousky, 2020. "New insights into US flood vulnerability revealed from flood insurance big data," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    17. Huynh, Thanh D. & Xia, Ying, 2021. "Climate Change News Risk and Corporate Bond Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(6), pages 1985-2009, September.
    18. Hong, Harrison & Li, Frank Weikai & Xu, Jiangmin, 2019. "Climate risks and market efficiency," Journal of Econometrics, Elsevier, vol. 208(1), pages 265-281.
    19. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    20. Painter, Marcus, 2020. "An inconvenient cost: The effects of climate change on municipal bonds," Journal of Financial Economics, Elsevier, vol. 135(2), pages 468-482.
    21. repec:bla:revinw:v:60:y:2014:i::p:s449-s471 is not listed on IDEAS
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    More about this item

    Keywords

    Climate change;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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