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Chasing the ‘green bandwagon’ in times of uncertainty

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  • Dragomirescu-Gaina, Catalin
  • Galariotis, Emilios
  • Philippas, Dionisis

Abstract

The transition to a low-carbon economy poses significant challenges for investors in energy markets, entailing higher uncertainty and not just higher risks. On the back of the ongoing greening in investment preferences, we focus on investors' group behaviour with respect to U.S. energy equities, which lie at the crossroads in this energy transition phase from an old technology that relies heavily on oil, to a new, greener one. Based on a dynamic herding metric, we find that changes in investors' behaviour with respect to green asset allocations require a better information set than in the case of crude oil allocations, for which only information on returns is a relevant driver of behaviour. We argue that policy uncertainty is better than financial risk proxies in reflecting the multidimensional nature of uncertainty and the various risks associated with investing in green energy today. Our findings suggest the need to reduce uncertainty stemming from the policy realm, given its raising impact on investors’ portfolios on the back of higher allocations towards greener assets.

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  • Dragomirescu-Gaina, Catalin & Galariotis, Emilios & Philippas, Dionisis, 2021. "Chasing the ‘green bandwagon’ in times of uncertainty," Energy Policy, Elsevier, vol. 151(C).
  • Handle: RePEc:eee:enepol:v:151:y:2021:i:c:s0301421521000598
    DOI: 10.1016/j.enpol.2021.112190
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    2. Husain, Shaiara & Sohag, Kazi & Wu, Yanrui, 2022. "The response of green energy and technology investment to climate policy uncertainty: An application of twin transitions strategy," Technology in Society, Elsevier, vol. 71(C).
    3. José Luis Miralles-Quirós & María Mar Miralles-Quirós, 2021. "Alternative Financial Methods for Improving the Investment in Renewable Energy Companies," Mathematics, MDPI, vol. 9(9), pages 1-25, May.

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    More about this item

    Keywords

    Dynamic herding; Pricing dynamics; Green energy; Crude oil;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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