Are green and dirty cryptocurrencies connected with climate risk attention?

Autores/as

  • Mohammad Abdullah University of Southampton Malaysia
  • Mohammad Ashraful Ferdous Chowdhury Shahjalal University of Science & Technology, Sylhet, Bangladesh
  • Muhammad Saeed Meo Sunway University Malaysia, Malaysia
  • Chaker Aloui Prince Sultan University, Saudi Arabia

DOI:

https://doi.org/10.17811/ebl.14.4.2025.193-205

Palabras clave:

climate risk attention, green cryptocurrency, dirty cryptocurrency, spillover

Resumen

This study examines the spillover effect of climate risk attention on green and dirty cryptocurrencies using the R-squared connectedness approach. We construct climate risk attention indices based on Google Trends data. Our findings unveil a dynamic and asymmetric nature of connectedness. We observe that climate risk attention serves as the net receiver of spillover across all market conditions. This result remains consistent even when employing alternative proxies and different methodologies. The study contributes to the ongoing efforts in sustainability, highlighting the significant role of climate risk attention in influencing investment and regulatory decisions.

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Citas

Adekoya, O. B., Akinseye, A. B., Antonakakis, N., Chatziantoniou, I., Gabauer, D., & Oliyide, J. (2022). Crude oil and Islamic sectoral stocks: Asymmetric TVP-VAR connectedness and investment strategies. Resources Policy, 78, 102877. https://doi.org/10.1016/j.resourpol.2022.102877

Agyei, S. K., Umar, Z., Bossman, A., & Teplova, T. (2023). Dynamic connectedness between global commodity sectors, news sentiment, and sub-Saharan African equities. Emerging Markets Review, 56, 101049. https://doi.org/10.1016/j.ememar.2023.101049

Akhtaruzzaman, M., Sensoy, A., & Corbet, S. (2020). The influence of Bitcoin on portfolio diversification and design. Finance Research Letters, 37, 101344.

Aloui, C., Meo, M. S., Hamida, H. B., & Chowdhury, M. A. F. (2022). Bitcoin connectedness to traditional asset-classes in times of COVID-19. International Journal of Trade and Global Markets, forthcoming.

André, C., Gabauer, D., & Gupta, R. (2021). Time-varying spillovers between housing sentiment and housing market in the United States☆. Finance Research Letters, 42, 101925. https://doi.org/10.1016/j.frl.2021.101925

Aysan, A. F., Demir, E., Gozgor, G., & Lau, C. K. M. (2019). Effects of the geopolitical risks on Bitcoin returns and volatility. Research in International Business and Finance, 47, 511-518.

Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54, 177-189.

Bonato, M., Cepni, O., Gupta, R., & Pierdzioch, C. (2023). Climate risks and state-level stock market realized volatility. Journal of Financial Markets, 100854. https://doi.org/10.1016/j.finmar.2023.100854

Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192-198.

Clark, E., Lahiani, A., & Mefteh-Wali, S. (2023). Cryptocurrency return predictability: What is the role of the environment? Technological Forecasting and Social Change, 189, 122350.

Corbet, S., & Yarovaya, L. (2020). The environmental effects of cryptocurrencies. Cryptocurrency and Blockchain Technology, 1, 149.

Demir, E., Gozgor, G., Lau, C. K. M., & Vigne, S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145-149.

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57-66. https://doi.org/10.1016/j.ijforecast.2011.02.006

Diebold, F. X., & Yılmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119-134. https://doi.org/10.1016/j.jeconom.2014.04.012

Doan, B., Jayasuriya, D., Lee, J. B., & Reeves, J. J. (2024). Cryptocurrency systematic risk dynamics. Economics Letters, 111788.

Dougal, C., Engelberg, J., Garcia, D., & Parsons, C. A. (2012). Journalists and the stock market. The Review of Financial Studies, 25(3), 639-679.

Fang, L., & Peress, J. (2009). Media coverage and the cross‐section of stock returns. The journal of finance, 64(5), 2023-2052.

Gabauer, D., Chatziantoniou, I., & Stenfors, A. (2023). Model-free connectedness measures. Finance Research Letters, 54, 103804. https://doi.org/10.1016/j.frl.2023.103804

Goodkind, A. L., Jones, B. A., & Berrens, R. P. (2020). Cryptodamages: Monetary value estimates of the air pollution and human health impacts of cryptocurrency mining. Energy Research & Social Science, 59, 101281.

Guesmi, K., Saadi, S., Abid, I., & Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from bitcoin. International Review of Financial Analysis, 63, 431-437.

Gunay, S., Goodell, J. W., Muhammed, S., & Kirimhan, D. (2023). Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment. International Review of Financial Analysis, 90, 102925. https://doi.org/10.1016/j.irfa.2023.102925

Jiao, P., Veiga, A., & Walther, A. (2020). Social media, news media and the stock market. Journal of Economic Behavior & Organization, 176, 63-90.

Kachaner, N., Nielsen, J., Portafaix, A., & Rodzko, F. (2020). The pandemic is heightening environmental awareness. Boston Consulting Group.

Krause, M. J., & Tolaymat, T. (2018). Quantification of energy and carbon costs for mining cryptocurrencies. Nature Sustainability, 1(11), 711-718.

Li, R., Li, S., Yuan, D., & Zhu, H. (2021). Investor attention and cryptocurrency: Evidence from wavelet-based quantile Granger causality analysis. Research in International Business and Finance, 56, 101389.

Lin, X., Meng, Y., & Zhu, H. (2023). How connected is the crypto market risk to investor sentiment? Finance Research Letters, 56, 104177. https://doi.org/10.1016/j.frl.2023.104177

Lucey, B., & Ren, B. (2023). Time-varying tail risk connectedness among sustainability-related products and fossil energy investments. Energy Economics, 126, 106812.

Mora, C., Rollins, R. L., Taladay, K., Kantar, M. B., Chock, M. K., Shimada, M., & Franklin, E. C. (2018). Bitcoin emissions alone could push global warming above 2 C. Nature Climate Change, 8(11), 931-933.

Moy, C., & Carlson, J. (2021). Cryptocurrencies can enable global financial inclusion. WEF. Will you participate.

Nadarajah, S., & Chu, J. (2017). On the inefficiency of Bitcoin. Economics Letters, 150, 6-9.

Ndubuisi, G., & Urom, C. (2023). Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention. Research in International Business and Finance, 65, 101953.

Patel, R., Kumar, S., Bouri, E., & Iqbal, N. (2023). Spillovers between green and dirty cryptocurrencies and socially responsible investments around the war in Ukraine. International Review of Economics & Finance, 87, 143-162. https://doi.org/10.1016/j.iref.2023.04.013

Polemis, M. L., & Tsionas, M. G. (2023). The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin. International Journal of Finance & Economics, 28(2), 1602-1621.

Ren, B., & Lucey, B. (2022). Do clean and dirty cryptocurrency markets herd differently? Finance Research Letters, 47, 102795. https://doi.org/10.1016/j.frl.2022.102795

Santi, C. (2023). Investor climate sentiment and financial markets. International Review of Financial Analysis, 86, 102490. https://doi.org/10.1016/j.irfa.2023.102490

Sharif, A., Brahim, M., Dogan, E., & Tzeremes, P. (2023). Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies. Energy Economics, 120, 106594. https://doi.org/10.1016/j.eneco.2023.106594

Schinckus, C. (2021). Proof-of-work based blockchain technology and Anthropocene: An undermined situation? Renewable and Sustainable Energy Reviews, 152, 111682.

Smales, L. A. (2022). Investor attention in cryptocurrency markets. International Review of Financial Analysis, 79, 101972.

Urquhart, A., & Zhang, H. (2019). Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. International Review of Financial Analysis, 63, 49-57.

Wan, D., Xue, R., Linnenluecke, M., Tian, J., & Shan, Y. (2021). The impact of investor attention during COVID-19 on investment in clean energy versus fossil fuel firms. Finance Research Letters, 43, 101955.

Wang, Y., Lucey, B., Vigne, S. A., & Yarovaya, L. (2022). An index of cryptocurrency environmental attention (ICEA). China Finance Review International, 12(3), 378-414.

Wu, S., Tong, M., Yang, Z., & Derbali, A. (2019). Does gold or Bitcoin hedge economic policy uncertainty?. Finance Research Letters, 31, 171-178.

Yousaf, I., Suleman, M. T., & Demirer, R. (2022). Green investments: A luxury good or a financial necessity?. Energy Economics, 105, 105745.

Zribi, W., Boufateh, T., & Guesmi, K. (2023). Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention. Finance Research Letters, 58, 104584.

Zhang, D., Chen, X. H., Lau, C. K. M., & Xu, B. (2023). Implications of cryptocurrency energy usage on climate change. Technological Forecasting and Social Change, 187, 122219.

Zhang, S. Y. (2022). Are investors sensitive to climate-related transition and physical risks? Evidence from global stock markets. Research in International Business and Finance, 62, 101710. https://doi.org/10.1016/j.ribaf.2022.101710

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Publicado

2025-10-01

Cómo citar

Abdullah, M., Chowdhury, M. A. F., Meo, M. S., & Aloui, C. (2025). Are green and dirty cryptocurrencies connected with climate risk attention?. Economics and Business Letters, 14(4), 193–205. https://doi.org/10.17811/ebl.14.4.2025.193-205

Número

Vol. 14 Núm. 4 (2025): December

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