Year 2025,
Volume: 12 Issue: 3, 882 - 899, 30.09.2025
Pinar Evrim Mandacı
,
Birce Tedik Kocakaya
,
Efe Çağlar Çağlı
Project Number
Project Number: 2022-2908 (The Research Universities Support Program (ADEP) by the Council of Higher Education (YÖK))
References
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Bouri, E., Jalkh, N., Molnár, P., & Roubaud, D. (2017). Bitcoin for energy commodities before and after the December 2013 crash: Diversifier, hedge or safe haven? Applied Economics, 49(50), 5063-5073. https://doi.org/10.1080/00036846.2017.1299102
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Chatziantoniou, I., Abakah, E. J. A., Gabauer, D., & Tiwari, A. K. (2022). Quantile time–frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets. Journal of Cleaner Production, 361. https://doi.org/10.1016/j.jclepro.2022.132088
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Chatziantoniou, I., Gabauer, D., & Gupta, R. (2023). Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach. Resources Policy, 84. https://doi.org/10.1016/j.resourpol.2023.103729
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Chatziantoniou, I., Gabauer, D., & Perez de Gracia, F. (2022). Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic. Energy Economics, 111. https://doi.org/10.1016/j.eneco.2022.106051
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Dogan, E., Madaleno, M., Taskin, D., & Tzeremes, P. (2022). Investigating the spillovers and connectedness between green finance and renewable energy sources. Renewable Energy, 197. https://doi.org/10.1016/j.renene.2022.07.131
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Fisher, T. J., & Gallagher, C. M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. Journal of the American Statistical Association, 107(498). https://doi.org/10.1080/01621459.2012.688465
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Foglia, M., & Angelini, E. (2020). Volatility connectedness between clean energy firms and crude oil in the COVID-19 era. Sustainability (Switzerland), 12(23). https://doi.org/10.3390/su12239863
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Gargallo, P., Lample, L., Miguel, J., & Salvador, M. (2022). Dynamic comparison of portfolio risk: Clean vs dirty energy. Finance Research Letters, 47. https://doi.org/10.1016/j.frl.2022.102957
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Gök, R. (2025). Spillovers between cryptocurrency, DeFi, carbon, and energy markets: A frequency quantile-on-quantile perspective. The Quarterly Review of Economics and Finance, 100, 101954. https://doi.org/10.1016/j.qref.2024.101954
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Jain, P., Maitra, D., McIver, R. P., & Kang, S. H. (2023). Quantile dependencies and connectedness between stock and precious metals markets. Journal of Commodity Markets, 30. https://doi.org/10.1016/j.jcomm.2022.100284
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-
Le, T. H. (2023). Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts. Renewable Energy, 202, 613–625. https://doi.org/10.1016/j.renene.2022.11.062
-
Lee, C. C., Lee, C. C., & Li, Y. Y. (2021). Oil price shocks, geopolitical risks, and green bond market dynamics. North American Journal of Economics and Finance, 55. https://doi.org/10.1016/j.najef.2020.101309
-
Mensi, W., Selmi, R., Al-Kharusi, S., Belghouthi, H. E., & Kang, S. H. (2024). Connectedness between green bonds, conventional bonds, oil, heating oil, natural gas, and petrol: new evidence during bear and bull market scenarios. Resources Policy, 91. https://doi.org/10.1016/j.resourpol.2024.104888
-
Naeem, M. A., Gul, R., Farid, S., Karim, S., & Lucey, B. M. (2023). Assessing linkages between alternative energy markets and cryptocurrencies. Journal of Economic Behavior & Organization, 211, 513–529. https://doi.org/10.1016/j.jebo.2023.04.035
-
Naeem, M. A., Husain, A., Bossman, A., & Karim, S. (2024). Assessing the linkage of energy cryptocurrency with clean and dirty energy markets. Energy Economics, 130. https://doi.org/10.1016/j.eneco.2023.107279
-
Naeem, M. A., Nguyen, T. T. H., Karim, S., & Lucey, B. M. (2023). Extreme downside risk transmission between green cryptocurrencies and energy markets: The diversification benefits. Finance Research Letters, 58. https://doi.org/10.1016/j.frl.2023.104263
-
Naeem, M. A., Nguyen, T. T. H., Nepal, R., Ngo, Q. T., & Taghizadeh–Hesary, F. (2021). Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach. Finance Research Letters, 43. https://doi.org/10.1016/j.frl.2021.101983
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Naifar, N. (2025). Interactions between renewable energy tokens, oil shocks, and clean energy investments: Do COP26 policies matter? Energy Policy, 198, 114497. https://doi.org/10.1016/j.enpol.2025.114497
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Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40. https://doi.org/10.1016/j.frl.2020.101739
-
Patel, R., Kumar, S., & Agnihotri, S. (2025). Unveiling the crypto-green nexus: A risk management and investment strategy approach through the lens of NFTs, DeFis, green cryptocurrencies, and green investments. The North American Journal of Economics and Finance, 75, 102289. https://doi.org/10.1016/j.najef.2024.102289
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Pham, S. D., Nguyen, T. T. T., & Do, H. X. (2024). Impact of climate policy uncertainty on return spillover among green assets and portfolio implications. Energy Economics, 134, 107631. https://doi.org/10.1016/j.eneco.2024.107631
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Qi, S., Pang, L., Li, X., & Huang, L. (2025). The dynamic connectedness in the “carbon-energy-green finance” system: The role of climate policy uncertainty and artificial intelligence. Energy Economics, 143, 108241. https://doi.org/10.1016/j.eneco.2025.108241
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Yousaf, I., Nekhili, R., & Umar, M. (2022). Extreme connectedness between renewable energy tokens and fossil fuel markets. Energy Economics, 114. https://doi.org/10.1016/j.eneco.2022.106305
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Return Transmission among Fossil Energy Commodities, Clean Energy Stocks, Green Bonds, and Energy Cryptocurrency
Year 2025,
Volume: 12 Issue: 3, 882 - 899, 30.09.2025
Pinar Evrim Mandacı
,
Birce Tedik Kocakaya
,
Efe Çağlar Çağlı
Abstract
This paper investigates return transmission among fossil energy commodities (crude oil, natural gas, gas oil, unleaded gasoline, and heating oil), clean energy stocks, green bonds, and energy cryptocurrency markets. We consider Bloomberg’s fossil energy subindices to proxy various energy commodities. We use the WilderHill Clean Energy Index (ECO) and Solactive Green Bond Index (GB) as proxies for clean energy stocks and green bonds. In addition, the Powerledger (POWR) coin is used to proxy energy cryptocurrency. We employ the TVP-VAR frequency connectedness technique for the period from November 12, 2017, to September 28, 2023. Our findings indicate a moderate level of interdependence with an apparent increase observed during the COVID-19 pandemic. Notably, short-term factors play a significant role in shaping this connectedness. Furthermore, the analysis identifies clean energy stocks, green bonds and energy cryptocurrencies as recipients, while all fossil energy commodities other than natural gas and gasoline are identified as transmitters. These conclusions have important implications for investors and policymakers.
Ethical Statement
Ethics Committee approval was not required for this study.
The authors declare that the study was conducted in accordance with research and publication ethics.
The authors confirm that no part of the study was generated, either wholly or in part, using Artificial Intelligence (AI) tools.
The authors declare that there are no financial conflicts of interest involving any institution, organization, or individual associated with this article. Additionally, there are no conflicts of interest among the authors.
The authors declare that they contributed equally to all processes of the study.
Project Number
Project Number: 2022-2908 (The Research Universities Support Program (ADEP) by the Council of Higher Education (YÖK))
References
-
Abuzayed, B., & Al-Fayoumi, N. (2023). Diversification and hedging strategies of green bonds in financial asset portfolios during the COVID-19 pandemic. Applied Economics, 55(36). https://doi.org/10.1080/00036846.2022.2128178
-
Atri, H., Kouki, S., & Gallali, M. I. (2021). The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach. Resources Policy, 72. https://doi.org/10.1016/j.resourpol.2021.102061
-
Attarzadeh, A., & Balcilar, M. (2022). On the dynamic return and volatility connectedness of cryptocurrency, crude oil, clean energy, and stock markets: A time-varying analysis. Environmental Science and Pollution Research, 29(43), 65185-65196. https://doi.org/10.1007/s11356-022-20115-2
-
Bouri, E., Jalkh, N., Molnár, P., & Roubaud, D. (2017). Bitcoin for energy commodities before and after the December 2013 crash: Diversifier, hedge or safe haven? Applied Economics, 49(50), 5063-5073. https://doi.org/10.1080/00036846.2017.1299102
-
British Petroleum. (2024, July 10). BP Energy Outlook 2024. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2024.pdf
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Cagli, E. C. (2023). The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach. Resources Policy, 86. https://doi.org/10.1016/j.resourpol.2023.104144
-
Chatziantoniou, I., Abakah, E. J. A., Gabauer, D., & Tiwari, A. K. (2022). Quantile time–frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets. Journal of Cleaner Production, 361. https://doi.org/10.1016/j.jclepro.2022.132088
-
Chatziantoniou, I., Gabauer, D., & Gupta, R. (2023). Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach. Resources Policy, 84. https://doi.org/10.1016/j.resourpol.2023.103729
-
Chatziantoniou, I., Gabauer, D., & Perez de Gracia, F. (2022). Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic. Energy Economics, 111. https://doi.org/10.1016/j.eneco.2022.106051
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Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1). https://doi.org/10.1016/j.ijforecast.2011.02.006
-
Dogan, E., Madaleno, M., Taskin, D., & Tzeremes, P. (2022). Investigating the spillovers and connectedness between green finance and renewable energy sources. Renewable Energy, 197. https://doi.org/10.1016/j.renene.2022.07.131
-
Dogra, G., & Murugaboopathy, P. (2022, March 31). Global green finance rises over 100 fold in the past decade -study. Reuters. https://www.reuters.com/business/sustainable-business/global-markets-greenfinance-graphics-2022-03-31/
-
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-
Ferrer, R., Shahzad, S. J. H., López, R., & Jareño, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76. https://doi.org/10.1016/j.eneco.2018.09.022
-
Fisher, T. J., & Gallagher, C. M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. Journal of the American Statistical Association, 107(498). https://doi.org/10.1080/01621459.2012.688465
-
Foglia, M., & Angelini, E. (2020). Volatility connectedness between clean energy firms and crude oil in the COVID-19 era. Sustainability (Switzerland), 12(23). https://doi.org/10.3390/su12239863
-
Gargallo, P., Lample, L., Miguel, J., & Salvador, M. (2022). Dynamic comparison of portfolio risk: Clean vs dirty energy. Finance Research Letters, 47. https://doi.org/10.1016/j.frl.2022.102957
-
Gök, R. (2025). Spillovers between cryptocurrency, DeFi, carbon, and energy markets: A frequency quantile-on-quantile perspective. The Quarterly Review of Economics and Finance, 100, 101954. https://doi.org/10.1016/j.qref.2024.101954
-
Granger, C. W. J., & Jeon, Y. (2004). Forecasting performance of information criteria with many macro series. Journal of Applied Statistics, 31(10). https://doi.org/10.1080/0266476042000285495
-
Hao, W., & Pham, L. (2024). Dynamic connectedness in the higher moments between clean energy and oil prices. Energy Economics, 140, 107987. https://doi.org/10.1016/j.eneco.2024.107987
-
Henriques, I., & Sadorsky, P. (2008). Oil prices and the stock prices of alternative energy companies. Energy Economics, 30(3). https://doi.org/10.1016/j.eneco.2007.11.001
-
International Energy Agency. (2023, March). CO2 Emissions in 2022. https://www.iea.org/reports/co2-emissions-in-2022
-
International Finance Corporation, & Amundi Asset Management. (2025). Emerging Market Green Bonds 2024. https://www.ifc.org/content/dam/ifc/doc/2025/emerging-market-green-bonds-2024.pdf
-
Jain, P., Maitra, D., McIver, R. P., & Kang, S. H. (2023). Quantile dependencies and connectedness between stock and precious metals markets. Journal of Commodity Markets, 30. https://doi.org/10.1016/j.jcomm.2022.100284
-
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3). https://doi.org/10.1016/0165-1765(80)90024-5
-
Ji, Q., Bouri, E., Roubaud, D., & Kristoufek, L. (2019). Information interdependence among energy, cryptocurrency and major commodity markets. Energy Economics, 81. https://doi.org/10.1016/j.eneco.2019.06.005
-
Le, T. H. (2023). Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts. Renewable Energy, 202, 613–625. https://doi.org/10.1016/j.renene.2022.11.062
-
Lee, C. C., Lee, C. C., & Li, Y. Y. (2021). Oil price shocks, geopolitical risks, and green bond market dynamics. North American Journal of Economics and Finance, 55. https://doi.org/10.1016/j.najef.2020.101309
-
Mensi, W., Selmi, R., Al-Kharusi, S., Belghouthi, H. E., & Kang, S. H. (2024). Connectedness between green bonds, conventional bonds, oil, heating oil, natural gas, and petrol: new evidence during bear and bull market scenarios. Resources Policy, 91. https://doi.org/10.1016/j.resourpol.2024.104888
-
Naeem, M. A., Gul, R., Farid, S., Karim, S., & Lucey, B. M. (2023). Assessing linkages between alternative energy markets and cryptocurrencies. Journal of Economic Behavior & Organization, 211, 513–529. https://doi.org/10.1016/j.jebo.2023.04.035
-
Naeem, M. A., Husain, A., Bossman, A., & Karim, S. (2024). Assessing the linkage of energy cryptocurrency with clean and dirty energy markets. Energy Economics, 130. https://doi.org/10.1016/j.eneco.2023.107279
-
Naeem, M. A., Nguyen, T. T. H., Karim, S., & Lucey, B. M. (2023). Extreme downside risk transmission between green cryptocurrencies and energy markets: The diversification benefits. Finance Research Letters, 58. https://doi.org/10.1016/j.frl.2023.104263
-
Naeem, M. A., Nguyen, T. T. H., Nepal, R., Ngo, Q. T., & Taghizadeh–Hesary, F. (2021). Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach. Finance Research Letters, 43. https://doi.org/10.1016/j.frl.2021.101983
-
Naifar, N. (2025). Interactions between renewable energy tokens, oil shocks, and clean energy investments: Do COP26 policies matter? Energy Policy, 198, 114497. https://doi.org/10.1016/j.enpol.2025.114497
-
Nasreen, S., Tiwari, A. K., Eizaguirre, J. C., & Wohar, M. E. (2020). Dynamic connectedness between oil prices and stock returns of clean energy and technology companies. Journal of Cleaner Production, 260. https://doi.org/10.1016/j.jclepro.2020.121015
-
Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40. https://doi.org/10.1016/j.frl.2020.101739
-
Patel, R., Kumar, S., & Agnihotri, S. (2025). Unveiling the crypto-green nexus: A risk management and investment strategy approach through the lens of NFTs, DeFis, green cryptocurrencies, and green investments. The North American Journal of Economics and Finance, 75, 102289. https://doi.org/10.1016/j.najef.2024.102289
-
Pham, L. (2021). Frequency connectedness and cross-quantile dependence between green bond and green equity markets. Energy Economics, 98. https://doi.org/10.1016/j.eneco.2021.105257
-
Pham, S. D., Nguyen, T. T. T., & Do, H. X. (2024). Impact of climate policy uncertainty on return spillover among green assets and portfolio implications. Energy Economics, 134, 107631. https://doi.org/10.1016/j.eneco.2024.107631
-
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