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Dynamic comparison of portfolio risk: Clean vs dirty energy

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  • Gargallo, Pilar
  • Lample, Luis
  • Miguel, Jesús
  • Salvador, Manuel

Abstract

This paper analyses whether investing in clean energy significantly worsens the risk level of investors. To that aim, we propose a dynamic strategy to carry out a comparative risk analysis of three minimum-variance portfolios: a portfolio made up exclusively of dirty energies, a portfolio made up only of clean energy assets, and a portfolio combined with the two types of energies. To that aim, we use multivariate GARCH models, concretely Asymmetric Dynamic Conditional Correlations models (ADCC-GARCH) to predict the variance and covariance matrices of the daily asset returns and we compare the portfolio volatilities using the methodology proposed by Engle and Colacito (2006). The analysed period was from January 2010 to September 2021, so that the data include half of phase II, full phase III and the onset of phase IV of the EU ETS, as well as the Brexit and COVID-19 outbreaks in the European context. Our results show that, unlike what happened in other economic crises (subprime, Brexit), from the pandemic crisis, the investment in clean energies is preferable to fossil energies, not only in terms of profitability, as other studies have shown, but also in terms of risk. Therefore, investing in clean energy companies, which are aligned with their role towards socially responsible initiatives, is valuable not only for its contribution to a sustainable energy transition to renewable sources but also for the attractiveness from a financial point of view.

Suggested Citation

  • Gargallo, Pilar & Lample, Luis & Miguel, Jesús & Salvador, Manuel, 2022. "Dynamic comparison of portfolio risk: Clean vs dirty energy," Finance Research Letters, Elsevier, vol. 47(PA).
  • Handle: RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612322002112
    DOI: 10.1016/j.frl.2022.102957
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    1. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben, 2023. "Investigating the dynamics of crude oil and clean energy markets in times of geopolitical tensions," Energy Economics, Elsevier, vol. 124(C).

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    More about this item

    Keywords

    Portfolio selection; Risk management; ADCC-GARCH; Clean energies; Fossil fuels; Energy transition;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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