Sequential management of energy and low-carbon portfolios

Gargallo, Pilar (Universidad de Zaragoza) ; Lample, Luis (Universidad de Zaragoza) ; Miguel, Jesús A. (Universidad de Zaragoza) ; Salvador, Manuel (Universidad de Zaragoza)

Resumen: This study explores the ability of clean energy and European Union Allowance (EUA) assets to diminish portfolio risk when mixed with unclean energy assets. We use a family of Asymmetric Dynamic Conditional Correlation-Generalized AutoRegressive Conditional Heteroskedastic (ADCC-GARCH) models and provide a flexible and adaptive estimation and model selection framework based on a sequential strategy with differently sized estimation and validation windows, as well as different model update frequencies. Through this procedure, we obtain accurate estimations of the conditional covariance matrices of day-to-day asset returns and build adequate optimal minimum variance portfolios. The analyzed period (Jan. 2010–May. 2022) includes the latest crisis episodes (Sovereign debt crisis, Brexit, COVID-19, and the Russian–Ukrainian war). Our findings show that since the 2015 Paris Agreement (the only exception being the pandemic period), investing in clean energy companies and EUAs is an attractive investment in terms of return-risk. These results should provide investors with more incentives to decarbonize their portfolios.

Idioma: Inglés

DOI: 10.1016/j.ribaf.2024.102263

Año: 2024

Publicado en: RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE 69 (2024), 102263 [24 pp.]
ISSN: 0275-5319

Factor impacto JCR: 6.9 (2024)

Categ. JCR: BUSINESS, FINANCE rank: 12 / 241 = 0.05 (2024) - Q1 - T1

Factor impacto SCIMAGO: 1.415 - Finance (Q1) - Business, Management and Accounting (miscellaneous) (Q1)

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)
Área (Departamento): Área Economía Finan. y Contab. (Dpto. Contabilidad y Finanzas)