The Impact of Stock Prices of Polluting Energy Sources on Renewable Energy Stock Index Prices

Abstract Research background The link between the price of polluting energy supplies and the renewable energy stock index may be intricate and subtle. Investors need to conduct thorough inquiries and analyses to completely understand the correlation between these industries. Purpose This study aims to explore the intricate dynamics between renewable energy stocks and conventional fossil fuel-based resources. Research methodology Our analysis encompasses daily data spanning from June 9, 2012, to March 31, 2023, extracted from the WilderHill New Energy Global Innovation Index (NEX), Crude Oil (WTI OIL), Coal (COAL), and Natural Gas (NGAS). Key statistical tests include the Johansen co-integration test, the fully modified ordinary least squares (FMOLS) test, and the Granger causality test. Results The study shows a long-term co-integration relationship between renewable energy stocks and polluting energy sources. Oil prices positively impact the renewable stock index, while coal prices negatively affect it. Natural gas prices also positively correlate with the index, and short-term relationships exist with oil prices. Novelty The study provides valuable insights for investors, state authorities, and policymakers on optimising ESG portfolio diversification and sustainable development policies in energy, environment, and climate. It helps stakeholders understand investor behaviour, market trends, and policy impacts, enabling effective long-term investment strategies.

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Publication Details

Journal
Folia Oeconomica Stetinensia
Published
2024-12-01
DOI
https://doi.org/10.2478/foli-2024-0029
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
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article

The Impact of Stock Prices of Polluting Energy Sources on Renewable Energy Stock Index Prices

Letife Özdemir, Ercan Özen, Simon Grima, N. Serap VURUR
1 citations
Folia Oeconomica Stetinensia
Market Dynamics and Volatility
1.13
article

The Impact of Stock Prices of Polluting Energy Sources on Renewable Energy Stock Index Prices

Letife Özdemir, Ercan Özen, Simon Grima, N. Serap VURUR
article en
1 citations

Abstract

Abstract Research background The link between the price of polluting energy supplies and the renewable energy stock index may be intricate and subtle. Investors need to conduct thorough inquiries and analyses to completely understand the correlation between these industries. Purpose This study aims to explore the intricate dynamics between renewable energy stocks and conventional fossil fuel-based resources. Research methodology Our analysis encompasses daily data spanning from June 9, 2012, to March 31, 2023, extracted from the WilderHill New Energy Global Innovation Index (NEX), Crude Oil (WTI OIL), Coal (COAL), and Natural Gas (NGAS). Key statistical tests include the Johansen co-integration test, the fully modified ordinary least squares (FMOLS) test, and the Granger causality test. Results The study shows a long-term co-integration relationship between renewable energy stocks and polluting energy sources. Oil prices positively impact the renewable stock index, while coal prices negatively affect it. Natural gas prices also positively correlate with the index, and short-term relationships exist with oil prices. Novelty The study provides valuable insights for investors, state authorities, and policymakers on optimising ESG portfolio diversification and sustainable development policies in energy, environment, and climate. It helps stakeholders understand investor behaviour, market trends, and policy impacts, enabling effective long-term investment strategies.

Folia Oeconomica StetinensiaVol. 24(2)
University of Malta (MT), Usak University (TR), Afyon Kocatepe University (TR), University of Latvia (LV)
Openalex Percentile: Top 11%
Market Dynamics and Volatility
1.13
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The Impact of Stock Prices of Polluting Energy Sources on Renewable Energy Stock Index Prices — Letife Özdemir, Ercan Özen, et al. · Folia Oeconomica Stetinensia (2024) | TGRS Research Map | TGRS