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Unraveling the time-varying asymmetric impact of fossil fuel price volatility on high cleantech investments.

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Title: Unraveling the time-varying asymmetric impact of fossil fuel price volatility on high cleantech investments.
Authors: Özkan, Oktay1 (AUTHOR) oktay.ozkan@gop.edu.tr, Adebayo, Tomiwa Sunday2,3,4 (AUTHOR) twaikline@gmail.com
Source: Environment, Development & Sustainability. May2026, Vol. 28 Issue 5, p11525-11548. 24p.
Subject Terms: *Clean energy investment, *Causal inference, *Government policy, *Quantile regression, *Energy economics, *Energy industries
Abstract: The primary objective of this study is to elucidate the asymmetric effects of fluctuations in fossil fuel prices on high cleantech investments across various time horizons. To investigate the causal relationships between these variables, we employ an innovative approach known as the Time-Varying Nonparametric Causality in Quantiles. This approach enables us to ascertain causality not only in terms of the mean but also in terms of variance. Additionally, we introduce the Time-Varying Quantile Regression method to evaluate whether the observed impact exhibits asymmetry and to determine its positive or negative direction. Our empirical estimations based on the daily data ranging from August 30, 2013, to September 15th, 2023, reveal that the fossil fuel price volatility has a positive and causal impact on high cleantech investments and its impact varies across quantiles indicating asymmetry and with time implying time-varying (or dynamic). These results are found to be robust across different analytical scenarios. Based on these results, policymakers should consider implementing targeted measures to mitigate the effects of fossil fuel price volatility on cleantech investments, taking into account the asymmetry and time-varying aspects revealed by our analysis. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193284020
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Unraveling the time-varying asymmetric impact of fossil fuel price volatility on high cleantech investments.
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  Data: <searchLink fieldCode="AR" term="%22Özkan%2C+Oktay%22">Özkan, Oktay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> oktay.ozkan@gop.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Adebayo%2C+Tomiwa+Sunday%22">Adebayo, Tomiwa Sunday</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<i> twaikline@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. May2026, Vol. 28 Issue 5, p11525-11548. 24p.
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  Data: *<searchLink fieldCode="DE" term="%22Clean+energy+investment%22">Clean energy investment</searchLink><br />*<searchLink fieldCode="DE" term="%22Causal+inference%22">Causal inference</searchLink><br />*<searchLink fieldCode="DE" term="%22Government+policy%22">Government policy</searchLink><br />*<searchLink fieldCode="DE" term="%22Quantile+regression%22">Quantile regression</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+economics%22">Energy economics</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+industries%22">Energy industries</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The primary objective of this study is to elucidate the asymmetric effects of fluctuations in fossil fuel prices on high cleantech investments across various time horizons. To investigate the causal relationships between these variables, we employ an innovative approach known as the Time-Varying Nonparametric Causality in Quantiles. This approach enables us to ascertain causality not only in terms of the mean but also in terms of variance. Additionally, we introduce the Time-Varying Quantile Regression method to evaluate whether the observed impact exhibits asymmetry and to determine its positive or negative direction. Our empirical estimations based on the daily data ranging from August 30, 2013, to September 15th, 2023, reveal that the fossil fuel price volatility has a positive and causal impact on high cleantech investments and its impact varies across quantiles indicating asymmetry and with time implying time-varying (or dynamic). These results are found to be robust across different analytical scenarios. Based on these results, policymakers should consider implementing targeted measures to mitigate the effects of fossil fuel price volatility on cleantech investments, taking into account the asymmetry and time-varying aspects revealed by our analysis. [ABSTRACT FROM AUTHOR]
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        Value: 10.1007/s10668-024-05432-5
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 11525
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      – SubjectFull: Clean energy investment
        Type: general
      – SubjectFull: Causal inference
        Type: general
      – SubjectFull: Government policy
        Type: general
      – SubjectFull: Quantile regression
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      – SubjectFull: Energy economics
        Type: general
      – SubjectFull: Energy industries
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      – TitleFull: Unraveling the time-varying asymmetric impact of fossil fuel price volatility on high cleantech investments.
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              Text: May2026
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              Y: 2026
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