Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/31387
Title: Climate physical risk and Asian stock market returns
Authors: Albanese, Marina
Caporale, Guglielmo Maria
Colella, Ida
Spagnolo, Nicola
Keywords: climate change;physical risk;Global Climate Risk Index;stock markets;Asia;panel data;fixed effects
Issue Date: 7-May-2026
Publisher: Edward Elgar Publishing
Citation: Albanese, M. et al. (2026) 'Climate physical risk and Asian stock market returns', in G.M. Caporale (ed) Handbook of Climate Change and Financial Markets. Cheltenham: Edward Elgar, pp. 58–73. doi: 10.4337/9781035340422.00007.
Abstract: This chapter 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 countries, which are also divided into 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.
Description: JEL classification: C33, G12, G18.
URI: https://bura.brunel.ac.uk/handle/2438/31387
DOI: https://doi.org/10.4337/9781035340422.00011
ISBN: 9781035340415
9781035340422
Other Identifiers: ORCiD: Guglielmo Maria Caporale https://orcid.org/0000-0002-0144-4135
ORCiD: Nicola Spagnolo https://orcid.org/0000-0002-1663-2104
Appears in Collections:Department of Economics, Finance and Accounting Embargoed Research Papers *

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 7 May 2027. This is a draft chapter. The final version is available in Handbook of Climate Change and Financial Markets edited by Guglielmo Maria Caporale, published in 2026, Edward Elgar Publishing Ltd. https://doi.org/10.4337/9781035340422.00011. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.409.7 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons