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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;VARGARCH-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, 0 (in press- pre-proof), 104883, pp. 1 - 34. 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 13 March 2009 to 24 August 2012 (depending on data availability for the green index) and an end date of 29 December 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. This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability. This version will undergo additional copyediting, typesetting and review before it is published in its final form. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article. Please note that Elsevier’s sharing policy for the Published Journal Article applies to this version, see: https://www.elsevier.com/about/policies-andstandards/sharing#4-published-journal-article . Please also note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. |
| 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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| FullText.pdf | Copyright © 2025 The Authors. Published by Elsevier Inc. This is an Open Access article under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/). | 1.39 MB | Adobe PDF | View/Open |
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