Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32604
Title: Climate policies, energy shocks and spillovers between green and brown stock price indices
Authors: Albanese, M
Caporale, GM
Colella, I
Spagnolo, N
Keywords: brown stocks;green stocks;VAR;GARCH-BEKK;climate policy shocks;energy shocks;spillovers
Issue Date: 31-Dec-2025
Publisher: Elsevier
Citation: Albanese, M. et al. (2026) 'Climate policies, energy shocks and spillovers between green and brown stock price indices', International Review of Economics and Finance, 106, 104883, pp. 1 - 19. doi: 10.1016/j.iref.2025.104883.
Abstract: This paper examines the effects of climate policies and energy shocks on mean and volatility spillovers between green and brown stock price indices in five countries (Canada, India, Japan, the UK and the US). More specifically, bivariate GARCH-BEKK models including dummy variables controlling for these shocks are estimated using weekly series with start dates ranging from March 13, 2009 to August 24, 2012 (depending on data availability for the green index) and an end date of December 29, 2023. Significant dynamic linkages between green and brown indices are found when climate policy and oil shocks are considered jointly. Some common patterns emerge, such as shifts in spillover dynamics between green and brown assets, but also country-specific effects of the climate policy shocks which reflect differences in regulatory frameworks and policies. By contrast, energy shocks tend to have a more uniform impact. Further, the interaction between climate policy and energy shocks weakens cross-market linkages, enhancing portfolio diversification opportunities for green investors. The conditional correlation analysis confirms this finding, suggesting that green stocks can be used as an effective hedge. These results highlight the benefits of incorporating green assets into diversified portfolios, particularly in financial centers where, in recent years, they have offered higher returns and lower volatility.
Description: JEL Classification: C33; G12; G18.
Data availability: Data will be made available on request.
URI: https://bura.brunel.ac.uk/handle/2438/32604
ISSN: 1059-0560
Other Identifiers: ORCiD: Guglielmo Maria Caporale https://orcid.org/0000-0002-0144-4135
ORCiD: Nicola Spagnolo https://orcid.org/0000-0002-1663-2104
Article number: 104883
Appears in Collections:Dept of Economics and Finance Research Papers

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