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Do green and dirty investments hedge each other?

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  • Sohag, Kazi
  • Hassan, M. Kabir
  • Bakhteyev, Stepan
  • Mariev, Oleg

Abstract

To augment the relative prices of carbon content emeries to green energies, many governments have imposed carbon prices and proved subsidies to green energy production. Given the imperative role of green finance for global energy transitions, we investigate whether oil equity transmits any significant signal to green investments and vice-versa as substitute commodities. To this end, we apply three novel time-series methods; namely, the Cross-Quantilogram, Time-frequency connectedness and Cross-spectral quantile coherency approaches to analyze daily return series of green bonds, green equity, and selected oil companies' equity returns as dirty investments ranging 30th August 2014 till 9th November 2021. Our empirical investigation demonstrates that dirty investments (oil equity) transmit negative volatility spillovers to green investments (both bond and equity). On the contrary, dirty investment returns respond positively to both green bonds and green equity returns. The co-movement between green and dirty markets is more pronounced in the short time. We also confirm that oil equities induce higher volatility on green markets than vice versa, with green bonds being more vulnerable to this impact. The paper provides policy implications for investors' decision-making making process on risk hedging.

Suggested Citation

  • Sohag, Kazi & Hassan, M. Kabir & Bakhteyev, Stepan & Mariev, Oleg, 2023. "Do green and dirty investments hedge each other?," Energy Economics, Elsevier, vol. 120(C).
  • Handle: RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323000713
    DOI: 10.1016/j.eneco.2023.106573
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    Cited by:

    1. Lorenzo Mercuri & Andrea Perchiazzo & Edit Rroji, 2023. "Investigating Short-Term Dynamics in Green Bond Markets," Papers 2308.12179, arXiv.org.

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    More about this item

    Keywords

    Green equity; Green bond; Dirty investment; Spillover; Quantile coherence;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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