Are renewable energy stocks, investor sentiment, and the cryptocurrency market-related?

    Chi Wei Su Info
    Xin Yue Song Info
    Meng Qin Info
    Oana-Ramona Lobonţ Info
    Muhammad Umar Info
DOI: https://doi.org/10.3846/jbem.2025.23893

Abstract

This paper applies wavelet quantile correlation to research on the relationship among renewable energy stocks, investor sentiment, and the cryptocurrency market. The empirical results indicated that under extremely negative conditions, in both the short and medium run, renewable energy stocks and cryptocurrencies are negatively correlated, implying that during such periods, renewable energy stocks can be used as a safe haven for cryptocurrencies. The opposite happens when the market is average or booming. This indicates that investors tend to invest simultaneously in these two promising asset classes when the market performs well. Under varied market conditions, FGI correlates positively with cryptocurrency, demonstrating sentiment influences price patterns. Moreover, the correlation between FGI and renewable energy stocks further validates the relationship between cryptocurrencies and renewable energy stocks. These findings can be used to improve the prediction of market trends by investors using sentiment indices and to devise more effective portfolio diversification strategies that minimize risk amid an evolving market.

Keywords:

renewable energy stocks, investor sentiment, cryptocurrency, wavelet, quantile correlation, portfolio diversification

How to Cite

Su, C. W., Song, X. Y., Qin, M., Lobonţ, O.-R., & Umar, M. (2025). Are renewable energy stocks, investor sentiment, and the cryptocurrency market-related? . Journal of Business Economics and Management, 26(6), 1264–1283. https://doi.org/10.3846/jbem.2025.23893

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December 18, 2025
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References

Anamika, Chakraborty, M., & Subramaniam, S. (2023). Does sentiment impact cryptocurrency? Journal of Behavioral Finance, 24(2), 202–218. https://doi.org/10.1080/15427560.2021.1950723

Anastasiou, D., Ballis, A., & Drakos, K. (2021). Cryptocurrencies’ price crash risk and crisis sentiment. Finance Research Letters, 42, Article 101928. https://doi.org/10.1016/j.frl.2021.101928

Angelini, E., Birindelli, G., Chiappini, H., & Foglia, M. (2022). Clean energy indices and brown assets: An analysis of tail risk spillovers through the VAR for VaR model. Journal of Sustainable Finance & Investment, 1–28. https://doi.org/10.1080/20430795.2022.2105788

Annamalaisamy, B., & Vepur Jayaraman, S. (2024). Do cryptocurrencies integrate with the indices of equity, sustainability, clean energy, and crude oil? A wavelet coherency approach. International Journal of Finance & Economics, 29(3), 3372–3392. https://doi.org/10.1002/ijfe.2843

Bakhtiar, T., Luo, X., & Adelopo, I. (2023). The impact of fundamental factors and sentiments on the valuation of cryptocurrencies. Blockchain: Research and Applications, 4(4), Article 100154. https://doi.org/10.1016/j.bcra.2023.100154

Bandelj, N. (2009). Emotions in economic action and interaction. Theory and Society, 38, 347–366. https://doi.org/10.1007/s11186-009-9088-2

Bastian-Pinto, C. L., Araujo, F. V. D. S., Brandão, L. E., & Gomes, L. L. (2021). Hedging renewable energy investments with Bitcoin mining. Renewable and Sustainable Energy Reviews, 138, Article 110520. https://doi.org/10.1016/j.rser.2020.110520

Cavalheiro, E. A., Vieira, K. M., & Thue, P. S. (2024). The impact of investor greed and fear on cryptocurrency returns: a Granger causality analysis of Bitcoin and Ethereum. Review of Behavioral Finance, 16(5), 819–835. https://doi.org/10.1108/RBF-08-2023-0224

Celeste, V., Corbet, S., & Gurdgiev, C. (2020). Fractal dynamics and wavelet analysis: Deep volatility and return properties of Bitcoin, Ethereum and Ripple. The Quarterly Review of Economics and Finance, 76, 310–324. https://doi.org/10.2139/ssrn.3232913

Chen, C., Liu, L., & Zhao, N. (2021). Fear sentiment, uncertainty, and bitcoin price dynamics: The case of COVID-19. In Y. Sha & S. Sharma, Research on pandemics (pp. 166–177). Routledge. https://doi.org/10.4324/9781003214687-12

Cifarelli, G., & Paladino, G. (2010). Oil price dynamics and speculation: A multivariate financial approach. Energy Economics, 32(2), 363–372. https://doi.org/10.1016/j.eneco.2009.08.014

Corbet, S., Larkin, C., Lucey, B. M., Meegan, A., & Yarovaya, L. (2020). The impact of macroeconomic news on Bitcoin returns. The European Journal of Finance, 26(14), 1396–1416. https://doi.org/10.1080/1351847X.2020.1737168

Dias, R., Alexandre, P., Teixeira, N., & Chambino, M. (2023). Clean energy stocks: Resilient safe havens in the volatility of dirty cryptocurrencies. Energies, 16(13), Article 5232. https://doi.org/10.3390/en16135232

Dogan, E., Majeed, M. T., & Luni, T. (2022). Are clean energy and carbon emission allowances caused by bitcoin? A novel time-varying method. Journal of Cleaner Production, 347, Article 131089. https://doi.org/10.1016/j.jclepro.2022.131089

Fang, L., Bouri, E., Gupta, R., & Roubaud, D. (2019). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 61, 29–36. https://doi.org/10.1016/j.irfa.2018.12.010

Farid, S., Karim, S., Naeem, M. A., Nepal, R., & Jamasb, T. (2023). Co-movement between dirty and clean energy: A time-frequency perspective. Energy Economics, 119, Article 106565. https://doi.org/10.1016/j.eneco.2023.106565

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, 1–20. https://doi.org/10.1016/j.eneco.2018.09.022

Gaies, B., Nakhli, M. S., Sahut, J. M., & Schweizer, D. (2023). Interactions between investors’ fear and greed sentiment and Bitcoin prices. The North American Journal of Economics and Finance, 67, Article 101924. https://doi.org/10.1016/j.najef.2023.101924

Jalal, R., & Gopinathan, R. (2023). Time-frequency relationship between energy imports, energy prices, exchange rate, and policy uncertainties in India: Evidence from wavelet quantile correlation approach. Finance Research Letters, 55, Article 103980. https://doi.org/10.1016/j.frl.2023.103980

Kanamura, T. (2020). Are green bonds environmentally friendly and good performing assets? Energy Economics, 88, Article 104767. https://doi.org/10.1016/j.eneco.2020.104767

Kulbhaskar, A. K., & Subramaniam, S. (2023). Breaking news headlines: Impact on trading activity in the cryptocurrency market. Economic Modelling, 126, Article 106397. https://doi.org/10.1016/j.econmod.2023.106397

Kumar, A. S., & Padakandla, S. R. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach. Finance Research Letters, 47, Article 102707. https://doi.org/10.1016/j.frl.2022.102707

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

Li, G., Li, Y., & Tsai, C. L. (2015). Quantile correlations and quantile autoregressive modeling. Journal of the American Statistical Association, 110(509), 246–261. https://doi.org/10.1080/01621459.2014.892007

Li, X., & Su, C. W. (2024). Evaluating the impact of multiple uncertainty shocks on China’s airline stocks volatility: A novel joint quantile perspective. Journal of Air Transport Management, 121, Article 102688. https://doi.org/10.1016/j.jairtraman.2024.102688

Li, Z., & Meng, Q. (2022). Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19. The North American Journal of Economics and Finance, 59, Article 101565. https://doi.org/10.1016/j.najef.2021.101565

Liu, F., Su, C. W., Qin, M., & Umar, M. (2024). Bitcoin: A Ponzi scheme or an emerging inflation-fighting asset? Technological and Economic Development of Economy, 31(3), 1–21. https://doi.org/10.3846/tede.2024.19300

Maghyereh, A., & Ziadat, S. A. (2024). Pattern and determinants of tail-risk transmission between cryptocurrency markets: new evidence from recent crisis episodes. Financial Innovation, 10(1), Article 77. https://doi.org/10.1186/s40854-023-00592-1

Mokni, K., Bouteska, A., & Nakhli, M. S. (2022). Investor sentiment and Bitcoin relationship: A quantile-based analysis. The North American Journal of Economics and Finance, 60, Article 101657. https://doi.org/10.1016/j.najef.2022.101657

Naeem, M. A., & Karim, S. (2021). Tail dependence between bitcoin and green financial assets. Economics Letters, 208, Article 110068. https://doi.org/10.1016/j.econlet.2021.110068

Naeem, M. A., Karim, S., Abrar, A., Yarovaya, L., & Shah, A. A. (2023). Non-linear relationship between oil and cryptocurrencies: Evidence from returns and shocks. International Review of Financial Analysis, 89, Article 102769. https://doi.org/10.1016/j.irfa.2023.102769

Osman, M. B., Galariotis, E., Guesmi, K., Hamdi, H., & Naoui, K. (2024). Are markets sentiment driving the price bubbles in the virtual? International Review of Economics & Finance, 89, 272–285. https://doi.org/10.1016/j.iref.2023.10.041

Patel, R., Goodell, J. W., & Chishti, M. Z. (2023). Assessing connectedness of transportation cryptocurrencies and transportation stocks: Evidence from wavelet quantile correlation. Finance Research Letters, 58, Article 104504. https://doi.org/10.1016/j.frl.2023.104504

Pham, L., Huynh, T. L. D., & Hanif, W. (2022). Cryptocurrency, green and fossil fuel investments. SSRN. https://doi.org/10.2139/ssrn.3925844

Qi, S., Pang, L., Qi, T., Zhang, X., & Pirtea, M. G. (2024). The correlation between the green bond market and carbon trading markets under climate change: Evidence from China. Technological Forecasting and Social Change, 203, Article 123367. https://doi.org/10.1016/j.techfore.2024.123367

Qin, M., Chang, H. L., Su, C. W., Răcătăian, R. I., & Crăciun, A. F. (2024a). Substitution or creation? Identifying the role of artificial intelligence in employment. Technological and Economic Development of Economy. https://doi.org/10.3846/tede.2024.21929

Qin, M., Su, A. H., Li, R., & Su, C. W. (2024b). Speculation, climate or pandemic: Who drives the Chinese herbal medicine bubbles? China Economic Review, 87, Article 102213. https://doi.org/10.1016/j.chieco.2024.102213

Qin, M., Wan, Y., Dou, J., & Su, C. W. (2024c). Artificial Intelligence: Intensifying or mitigating unemployment? Technology in Society, 79, Article 102755. https://doi.org/10.1016/j.techsoc.2024.102755

Qin, M., Shao, X., Hu, C., & Su, C. W. (2025). Can gold hedge against uncertainty in the cryptocurrency and energy markets? Technological Forecasting and Social Change, 214, Article 124050. https://doi.org/10.1016/j.techfore.2025.124050

Ren, B., & Lucey, B. (2022). A clean, green haven? – Examining the relationship between clean energy, clean and dirty cryptocurrencies. Energy Economics, 109, Article 105951. https://doi.org/10.1016/j.eneco.2022.105951

Selmi, R., Mensi, W., Hammoudeh, S., & Bouoiyour, J. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787–801. https://doi.org/10.1016/j.eneco.2018.07.007

Sharma, G. D., Shahbaz, M., Singh, S., Chopra, R., & Cifuentes-Faura, J. (2023). Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States. Resources Policy, 80, Article 103168. https://doi.org/10.1016/j.resourpol.2022.103168

Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442. https://doi.org/10.2307/2977928

Song, Y., Ji, Q., Du, Y. J., & Geng, J. B. (2019). The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets. Energy Economics, 84, Article 104564. https://doi.org/10.1016/j.eneco.2019.104564

Su, C. W., Liu, X., Vătavu, S., & Peculea, A. D. (2024a). Will peer-to-peer online lending affect the effectiveness of monetary policy? Technological and Economic Development of Economy, 31(1), 1–22. https://doi.org/10.3846/tede.2024.19334

Su, C. W., Song, X. Y., Dou, J., & Qin, M. (2025a). Fossil fuels or renewable energy? The dilemma of climate policy choices. Renewable Energy, 238, Article 121950. https://doi.org/10.1016/j.renene.2024.121950

Su, C. W., Song, X. Y., Qin, M., Lobonţ, O. R., & Umar, M. (2024b). Optimistic or pessimistic: How do investors impact the green bond market? The North American Journal of Economics and Finance, 74, Article 102248. https://doi.org/10.1016/j.najef.2024.102248

Su, C. W., Wu, Y., & Qin, M. (2025b). Preserving energy security: Can renewable energy withstand the energy-related uncertainty risk? Energy, 320, Article 135349. https://doi.org/10.1016/j.energy.2025.135349

Su, C. W., Yang, S., Peculea, A. D., Biţoiu, T. I., & Qin, M. (2024c). Energy imports in turbulent eras: Evidence from China. Energy, 306, Article 132586. https://doi.org/10.1016/j.energy.2024.132586

Su, C. W., Yang, S., Qin, M., & Lobonţ, O. R. (2023). Gold vs bitcoin: Who can resist panic in the US? Resources Policy, 85, Article 103880. https://doi.org/10.1016/j.resourpol.2023.103880

Suleman, M. T., Sheikh, U. A., Galariotis, E. C., & Roubaud, D. (2025). The impact of bitcoin fear and greed on good and bad network connectedness: The case of the US sectoral high frequency returns. Annals of Operations Research, 347, 633–677. https://doi.org/10.1007/s10479-023-05455-7

Symitsi, E., & Chalvatzis, K. J. (2018). Return, volatility and shock spillovers of Bitcoin with energy and technology companies. Economics Letters, 170, 127–130. https://doi.org/10.1016/j.econlet.2018.06.012

Tiwari, A. K., Abakah, E. J. A., Rehman, M. Z., & Lee, C. C. (2024). Quantile dependence of Bitcoin with clean and renewable energy stocks: New global evidence. Applied Economics, 56(3), 286–300. https://doi.org/10.1080/00036846.2023.2167921

Uche, E., Das, N., & Ngepah, N. (2024). Green environments reimagined through the lens of green finance, green innovations, green taxation, and green energies. Wavelet quantile correlation and rolling window-based quantile causality perspective. Renewable Energy, 228, Article 120650. https://doi.org/10.1016/j.renene.2024.120650

Vargas-Sierra, C., & Orts, M. (2023). Sentiment and emotion in financial journalism: A corpus-based, cross-linguistic analysis of the effects of COVID. Humanities and Social Sciences Communications, 10(1), 1–17. https://doi.org/10.1057/s41599-023-01725-8

Wang, J. N., Liu, H. C., & Hsu, Y. T. (2024). A U-shaped relationship between the crypto fear-greed index and the price synchronicity of cryptocurrencies. Finance Research Letters, 59, Article 104763. https://doi.org/10.1016/j.frl.2023.104763

Wang, K. H., Su, C. W., Umar, M., & Peculea, A. D. (2023). Oil prices and the green bond market: Evidence from time-varying and quantile-varying aspects. Borsa Istanbul Review, 23(2), 516–526. https://doi.org/10.1016/j.bir.2022.12.003

Wang, X., Liu, J., & Xie, Q. (2024). Quantile frequency connectedness between energy tokens, crypto market, and renewable energy stock markets. Heliyon, 10(3), Article e25068. https://doi.org/10.1016/j.heliyon.2024.e25068

Yadav, M. P., Tandon, P., Singh, A. B., Shore, A., & Gaur, P. (2025). Exploring time and frequency linkages of green bond with renewable energy and crypto market. Annals of Operations Research, 348, 1547–1572. https://doi.org/10.1007/s10479-022-05074-8

Yang, C., & Wu, H. (2019). Chasing investor sentiment in stock market. The North American Journal of Economics and Finance, 50, Article 100975. https://doi.org/10.1016/j.najef.2019.04.018

Yang, K., Wei, Y., Li, S., & He, J. (2021). Geopolitical risk and renewable energy stock markets: An insight from multiscale dynamic risk spillover. Journal of Cleaner Production, 279, Article 123429. https://doi.org/10.1016/j.jclepro.2020.123429

Zhu, H., Xing, Z., Ren, Y., Chen, Y., & Hau, L. (2023). Frequency domain causality and quantile connectedness between investor sentiment and cryptocurrency returns. International Review of Economics & Finance, 88, 1035–1051. https://doi.org/10.1016/j.iref.2023.07.038

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2025-12-18

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Su, C. W., Song, X. Y., Qin, M., Lobonţ, O.-R., & Umar, M. (2025). Are renewable energy stocks, investor sentiment, and the cryptocurrency market-related? . Journal of Business Economics and Management, 26(6), 1264–1283. https://doi.org/10.3846/jbem.2025.23893

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