Determinants of renewable stock returns: The role of global supply chain pressure
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DOI: 10.1016/j.rser.2023.114182
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- M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
- Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
- Murshed, Muntasir & Tanha, Muntaha Masud, 2020. "Oil Price Shocks and Renewable Energy Transition: Empirical evidence from net oil-importing South Asian economies," MPRA Paper 100162, University Library of Munich, Germany.
- Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
- Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022.
"The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction,"
Resources Policy, Elsevier, vol. 79(C).
- B. T. Ewing & M. J. Piette & J. E. Payne, 2004. "Correction," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 557-557, September.
- Apergis, Nicholas & Payne, James E., 2009. "Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model," Energy Economics, Elsevier, vol. 31(2), pages 211-216.
- Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
- Apergis, Nicholas & Payne, James E., 2010. "Energy consumption and growth in South America: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 32(6), pages 1421-1426, November.
- Nicholas Apergis & James E. Payne, 2012. "Tourism and Growth in the Caribbean – Evidence from a Panel Error Correction Model," Tourism Economics, , vol. 18(2), pages 449-456, April.
- Nicholas Apergis & Rajeev Goel & James Payne, 2014. "Dynamics of U.S. State Cigarette Consumption: Evidence from Panel Error Correction Modeling," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(1), pages 3-20, March.
- Nicholas Apergis & Oguzhan Dincer & James E. Payne, 2014. "Economic Freedom And Income Inequality Revisited: Evidence From A Panel Error Correction Model," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 67-75, January.
- Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
- James Payne, 2003. "Post stabilization estimates of money demand in Croatia: error correction model using the bounds testing approach," Applied Economics, Taylor & Francis Journals, vol. 35(16), pages 1723-1727.
- Nicholas Apergis & Oguzhan Dincer & James Payne, 2010. "The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model," Public Choice, Springer, vol. 145(1), pages 125-135, October.
- Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
- Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
- Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
- Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
- Kilian, Lutz & Zhou, Xiaoqing, 2018.
"Modeling fluctuations in the global demand for commodities,"
Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
- Lutz Kilian & Xiaoqing Zhou, 2017. "Modeling Fluctuations in the Global Demand for Commodities," CESifo Working Paper Series 6749, CESifo.
- Kilian, Lutz & Zhou, Xiaoqing, 2017. "Modeling Fluctuations in the Global Demand for Commodities," CEPR Discussion Papers 12357, C.E.P.R. Discussion Papers.
- Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
- Hammoudeh, Shawkat & Mokni, Khaled & Ben-Salha, Ousama & Ajmi, Ahdi Noomen, 2021. "Distributional predictability between oil prices and renewable energy stocks: Is there a role for the COVID-19 pandemic?," Energy Economics, Elsevier, vol. 103(C).
- Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
- Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
- Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and growth in Eurasia," Energy Economics, Elsevier, vol. 32(6), pages 1392-1397, November.
- Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2017. "Wavelet-based test of co-movement and causality between oil and renewable energy stock prices," Energy Economics, Elsevier, vol. 61(C), pages 241-252.
- Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
- Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
- Omri, Anis & Nguyen, Duc Khuong, 2014. "On the determinants of renewable energy consumption: International evidence," Energy, Elsevier, vol. 72(C), pages 554-560.
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- Wang, Minglu & Ouyang, Kexin & Jing, Peng, 2025. "Dynamic interplay of energy uncertainty, supply chain disruption, and digital transformation on China's renewable energy stocks," Energy Economics, Elsevier, vol. 141(C).
- Wang, Lu & Ruan, Hang & Lai, Xiaodong & Li, Dongxin, 2024. "Economic extremes steering renewable energy trajectories: A time-frequency dissection of global shocks," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- Su, Chi Wei & Song, Xin Yue & Dou, Junyi & Qin, Meng, 2025. "Fossil fuels or renewable energy? The dilemma of climate policy choices," Renewable Energy, Elsevier, vol. 238(C).
- Kayani, Umar & Ullah, Mirzat & Aysan, Ahmet Faruk & Nazir, Sidra & Frempong, Josephine, 2024. "Quantile connectedness among digital assets, traditional assets, and renewable energy prices during extreme economic crisis," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
- Yang, Jinyu & Dong, Dayong & Liang, Chao, 2024. "Climate policy uncertainty and the U.S. economic cycle," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- Adeel Riaz & Assad Ullah & Bashir Muhammad, 2025. "The impact of global supply chain pressure on the stock market: A sectoral view," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
- Wu, Guo & Hu, Guoheng, 2024. "Asymmetric spillovers and resilience in physical and financial assets amid climate policy uncertainties: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
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Keywords
renewable energy stocks; Global supply chain pressure; Global economic activity; Climate policy uncertainty; crude oil prices;All these keywords.
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