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ESG crypto coins: speculative assets, or, the future of green money?

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  • Timothy King

    (University of Vaasa)

  • Dimitrios Koutmos

    (Texas A&M University - Corpus Christi
    RELLIS Technology & Innovation Campus, Texas A&M University System)

Abstract

There is growing interest in blockchain technologies and the prospects of adopting some form of digital money in the future. Governments and regulators around the world, as well as market participants, are exploring what implications these can have on our financial system. Additionally, there is an ever-increasing pressure by regulators on firms and investors to mitigate any environmental and social externalities which their activities may cause. These two fundamental trends have given rise to, among other assets, so-called “ESG cryptocurrency.” These “ESG coins” aim to be more ESG conscious in terms of their overall environmental and societal impact compared to mainstream crypto coins such as bitcoin. In light of these trends, the objectives of this study are threefold. First, to discuss these trends and the motivations for ESG crypto coins. Second, to explore the price behaviors of these coins and, specifically, to examine whether there is herding and feedback trading behaviors which drive their price dynamics. Finally, and given the two aforementioned objectives, to discuss whether these coins are speculative in nature, or, whether there is some merit to these being the future of “green money” in our financial system.

Suggested Citation

  • Timothy King & Dimitrios Koutmos, 2025. "ESG crypto coins: speculative assets, or, the future of green money?," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 777-816, August.
  • Handle: RePEc:kap:rqfnac:v:65:y:2025:i:2:d:10.1007_s11156-024-01360-7
    DOI: 10.1007/s11156-024-01360-7
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    1. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    2. Jiekun Huang & Nianhang Xu & Honghai Yu, 2020. "Pollution and Performance: Do Investors Make Worse Trades on Hazy Days?," Management Science, INFORMS, vol. 66(10), pages 4455-4476, October.
    3. Ali, Shoaib & Naveed, Muhammad & Yousaf, Imran & Khattak, Muhammad Sualeh, 2024. "From cryptos to consciousness: Dynamics of return and volatility spillover between green cryptocurrencies and G7 markets," Finance Research Letters, Elsevier, vol. 60(C).
    4. Larue, Louis & Meyer, Camille & Hudon, Marek & Sandberg, Joakim, 2022. "The Ethics of Alternative Currencies," Business Ethics Quarterly, Cambridge University Press, vol. 32(2), pages 299-321, April.
    5. Robert J. Shiller, 1984. "Stock Prices and Social Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 15(2), pages 457-510.
    6. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    7. Bolton, Patrick & Kacperczyk, Marcin, 2021. "Do investors care about carbon risk?," Journal of Financial Economics, Elsevier, vol. 142(2), pages 517-549.
    8. Koutmos, Gregory, 1997. "Feedback trading and the autocorrelation pattern of stock returns: further empirical evidence," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 625-636, August.
    9. Koutmos, Dimitrios, 2018. "Return and volatility spillovers among cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 122-127.
    10. Bauer, Michael & Huber, Daniel & Rudebusch, Glenn & Wilms, Ole, 2022. "Where is the carbon premium? Global performance of green and brown stocks," Other publications TiSEM 6b117156-316d-440a-9fa5-b, Tilburg University, School of Economics and Management.
    11. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2022. "Dissecting green returns," Journal of Financial Economics, Elsevier, vol. 146(2), pages 403-424.
    12. Ana Cristina O. Siqueira & Benson Honig & Sandra Mariano & Joysi Moraes, 2020. "A Commons Strategy for Promoting Entrepreneurship and Social Capital: Implications for Community Currencies, Cryptocurrencies, and Value Exchange," Journal of Business Ethics, Springer, vol. 166(4), pages 711-726, November.
    13. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    14. Nektarios Gavrilakis & Christos Floros, 2023. "ESG performance, herding behavior and stock market returns: evidence from Europe," Operational Research, Springer, vol. 23(1), pages 1-21, March.
    15. Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018. "Price manipulation in the Bitcoin ecosystem," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
    16. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    17. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    18. Hanna Halaburda, 2018. "Blockchain Revolution Without the Blockchain," Staff Analytical Notes 2018-5, Bank of Canada.
    19. Merton, Robert C., 1980. "On estimating the expected return on the market : An exploratory investigation," Journal of Financial Economics, Elsevier, vol. 8(4), pages 323-361, December.
    20. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    21. Yizhi Wang & Florian Horky & Lennart J. Baals & Brian M. Lucey & Samuel A. Vigne, 2022. "Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(4), pages 415-436, October.
    22. Chau, Frankie & Deesomsak, Rataporn & Lau, Marco C.K., 2011. "Investor sentiment and feedback trading: Evidence from the exchange-traded fund markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 292-305.
    23. Dennis, Patrick & Mayhew, Stewart, 2002. "Risk-Neutral Skewness: Evidence from Stock Options," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 471-493, September.
    24. Galina Hale & Arvind Krishnamurthy & Marianna Kudlyak & Patrick Shultz, 2018. "How Futures Trading Changed Bitcoin Prices," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    25. Dimitrios Koutmos, 2015. "Is there a Positive Risk†Return Tradeoff? A Forward†Looking Approach to Measuring the Equity Premium," European Financial Management, European Financial Management Association, vol. 21(5), pages 974-1013, November.
    26. Flammer, Caroline, 2021. "Corporate green bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 499-516.
    27. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    28. DeMiguel, Victor & Plyakha, Yuliya & Uppal, Raman & Vilkov, Grigory, 2013. "Improving Portfolio Selection Using Option-Implied Volatility and Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(6), pages 1813-1845, December.
    29. Li, Jennifer (Jie) & Massa, Massimo & Zhang, Hong & Zhang, Jian, 2021. "Air pollution, behavioral bias, and the disposition effect in China," Journal of Financial Economics, Elsevier, vol. 142(2), pages 641-673.
    30. D'aniel Kondor & M'arton P'osfai & Istv'an Csabai & G'abor Vattay, 2013. "Do the rich get richer? An empirical analysis of the BitCoin transaction network," Papers 1308.3892, arXiv.org, revised Mar 2014.
    31. Pham, Linh & Karim, Sitara & Naeem, Muhammad Abubakr & Long, Cheng, 2022. "A tale of two tails among carbon prices, green and non-green cryptocurrencies," International Review of Financial Analysis, Elsevier, vol. 82(C).
    32. Dimitrios Koutmos & James E. Payne, 2021. "Intertemporal asset pricing with bitcoin," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 619-645, February.
    33. Xiao, Zunlan & Duritan, Mary Josephine M. & Han, Dongmei & Zong, Yi, 2024. "How does Green education result in resource extraction and consumption sustainability?," Resources Policy, Elsevier, vol. 89(C).
    34. Naeem, Muhammad Abubakr & Nguyen, Thi Thu Ha & Karim, Sitara & Lucey, Brian M., 2023. "Extreme downside risk transmission between green cryptocurrencies and energy markets: The diversification benefits," Finance Research Letters, Elsevier, vol. 58(PA).
    35. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    36. Timothy King & Dimitrios Koutmos, 2021. "Herding and feedback trading in cryptocurrency markets," Annals of Operations Research, Springer, vol. 300(1), pages 79-96, May.
    37. Yousaf, Imran & Riaz, Yasir & Goodell, John W, 2023. "What do responses of financial markets to the collapse of FTX say about investor interest in cryptocurrencies? Event-study evidence," Finance Research Letters, Elsevier, vol. 53(C).
    38. Wang, Jinghua & Ngene, Geoffrey M., 2020. "Does Bitcoin still own the dominant power? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    39. Dániel Kondor & Márton Pósfai & István Csabai & Gábor Vattay, 2014. "Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
    40. Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2018. "How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets," Economics Letters, Elsevier, vol. 171(C), pages 140-143.
    41. Ren, Boru & Lucey, Brian, 2022. "Do clean and dirty cryptocurrency markets herd differently?," Finance Research Letters, Elsevier, vol. 47(PB).
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    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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