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Cryptocurrency return predictability: What is the role of the environment?

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  • Clark, Ephraim
  • Lahiani, Amine
  • Mefteh-Wali, Salma

Abstract

This paper investigates the lead-lag relationship across the returns of four cryptocurrencies - Bitcoin, Ethereum, Tether and TrueUSD. It identifies the important role of the environment in forecasting the cryptocurrency returns. The study compares the predictive ability of environmental variables such as temperature anomalies and CO2 emissions with that of commodities i.e. Gold and WTI returns. To the best of our knowledge, our study is the first attempt to investigate the leading role of the environment in predicting cryptocurrency returns. Most studies in the literature examine the environmental cost of Bitcoin, but none has considered the possible causal effect of the environment on Bitcoin returns. Our results show evidence of limited predictive power of lagged commodity returns, while lagged CO2 emissions significantly predict the returns of volatile cryptocurrencies, i.e. Bitcoin and Ethereum. On the other hand, environmental variables do not show any predictive power in the returns of stable coins (Tether and TrueUSD). Our findings highlight the increased awareness regarding the degradation of the environment and rapid climate change. Our results have important policy implications.

Suggested Citation

  • Clark, Ephraim & Lahiani, Amine & Mefteh-Wali, Salma, 2023. "Cryptocurrency return predictability: What is the role of the environment?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:tefoso:v:189:y:2023:i:c:s0040162523000355
    DOI: 10.1016/j.techfore.2023.122350
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    as
    1. Yan, Lei & Mirza, Nawazish & Umar, Muhammad, 2022. "The cryptocurrency uncertainties and investment transitions: Evidence from high and low carbon energy funds in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    3. Samuel M. Hartzmark & Abigail B. Sussman, 2019. "Do Investors Value Sustainability? A Natural Experiment Examining Ranking and Fund Flows," Journal of Finance, American Finance Association, vol. 74(6), pages 2789-2837, December.
    4. Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco & Vigne, Samuel A., 2018. "Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation," Finance Research Letters, Elsevier, vol. 26(C), pages 145-149.
    5. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    6. Bolton, Patrick & Kacperczyk, Marcin, 2021. "Do investors care about carbon risk?," Journal of Financial Economics, Elsevier, vol. 142(2), pages 517-549.
    7. Gunther Capelle-Blancard & Stéphanie Monjon, 2011. "The Performance of Socially Responsible Funds: Does the Screening Process Matter?," Working Papers 2011-12, CEPII research center.
    8. Gunnar Gutsche & Anja Köbrich León & Andreas Ziegler, 2019. "On the relevance of contextual factors for socially responsible investments: an econometric analysis," Oxford Economic Papers, Oxford University Press, vol. 71(3), pages 756-776.
    9. Kandel, Shmuel & Stambaugh, Robert F, 1996. "On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June.
    10. Bouteska, Ahmed & Mefteh-Wali, Salma & Dang, Trung, 2022. "Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Viviani, Jean-Laurent & Ben Jabeur, Sami & Abedin, Mohammad Zoynul & Lucey, Brian M., 2022. "How do climate risk and clean energy spillovers, and uncertainty affect U.S. stock markets?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    12. Urs von Arx & Andreas Ziegler, 2014. "The effect of corporate social responsibility on stock performance: new evidence for the USA and Europe," Quantitative Finance, Taylor & Francis Journals, vol. 14(6), pages 977-991, June.
    13. Aysan, Ahmet Faruk & Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "Effects of the geopolitical risks on Bitcoin returns and volatility," Research in International Business and Finance, Elsevier, vol. 47(C), pages 511-518.
    14. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    15. Sarkodie, Samuel Asumadu & Ahmed, Maruf Yakubu & Leirvik, Thomas, 2022. "Trade volume affects bitcoin energy consumption and carbon footprint," Finance Research Letters, Elsevier, vol. 48(C).
    16. Khezri, Mohsen & Heshmati, Almas & Khodaei, Mehdi, 2022. "Environmental implications of economic complexity and its role in determining how renewable energies affect CO2 emissions," Applied Energy, Elsevier, vol. 306(PB).
    17. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    18. Long, Huaigang & Demir, Ender & Będowska-Sójka, Barbara & Zaremba, Adam & Shahzad, Syed Jawad Hussain, 2022. "Is geopolitical risk priced in the cross-section of cryptocurrency returns?," Finance Research Letters, Elsevier, vol. 49(C).
    19. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    20. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    21. Hjalmarsson, Erik, 2010. "Predicting Global Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 49-80, February.
    22. Oberndorfer, Ulrich & Schmidt, Peter & Wagner, Marcus & Ziegler, Andreas, 2013. "Does the stock market value the inclusion in a sustainability stock index? An event study analysis for German firms," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 497-509.
    23. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    24. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    25. Kurka, Josef, 2019. "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, vol. 31(C), pages 38-46.
    26. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    27. Camilo Mora & Randi L. Rollins & Katie Taladay & Michael B. Kantar & Mason K. Chock & Mio Shimada & Erik C. Franklin, 2018. "Bitcoin emissions alone could push global warming above 2°C," Nature Climate Change, Nature, vol. 8(11), pages 931-933, November.
    28. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    29. Liobikienė, Genovaitė & Butkus, Mindaugas & Bernatonienė, Jurga, 2016. "Drivers of greenhouse gas emissions in the Baltic states: decomposition analysis related to the implementation of Europe 2020 strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 309-317.
    30. Christian Masiak & Joern H. Block & Tobias Masiak & Matthias Neuenkirch & Katja N. Pielen, 2020. "Initial coin offerings (ICOs): market cycles and relationship with bitcoin and ether," Small Business Economics, Springer, vol. 55(4), pages 1113-1130, December.
    31. Markowitz, Harry M, 1991. "Foundations of Portfolio Theory," Journal of Finance, American Finance Association, vol. 46(2), pages 469-477, June.
    32. repec:dau:papers:123456789/7347 is not listed on IDEAS
    33. Aharon, David Y. & Demir, Ender & Lau, Chi Keung Marco & Zaremba, Adam, 2022. "Twitter-Based uncertainty and cryptocurrency returns," Research in International Business and Finance, Elsevier, vol. 59(C).
    34. Conlon, Thomas & McGee, Richard, 2020. "Safe haven or risky hazard? Bitcoin during the Covid-19 bear market," Finance Research Letters, Elsevier, vol. 35(C).
    35. I. El Ouadghiri & K. Guesmi & Jonathan Peillex & A. Ziegler, 2021. "Public Attention to Environmental Issues and Stock Market Returns," Post-Print hal-03678291, HAL.
    36. Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    37. El Ouadghiri, Imane & Guesmi, Khaled & Peillex, Jonathan & Ziegler, Andreas, 2021. "Public Attention to Environmental Issues and Stock Market Returns," Ecological Economics, Elsevier, vol. 180(C).
    38. Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
    39. Carpentier, Cécile & Suret, Jean-Marc, 2015. "Stock market and deterrence effect: A mid-run analysis of major environmental and non-environmental accidents," Journal of Environmental Economics and Management, Elsevier, vol. 71(C), pages 1-18.
    40. Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
    41. Patrick Bolton & Marcin Kacperczyk, 2021. "Global Pricing of Carbon-Transition Risk," NBER Working Papers 28510, National Bureau of Economic Research, Inc.
    42. Vytautas Karalevicius & Niels Degrande & Jochen De Weerdt, 2018. "Using sentiment analysis to predict interday Bitcoin price movements," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 19(1), pages 56-75, December.
    43. Choi, Hyungeun, 2021. "Investor attention and bitcoin liquidity: Evidence from bitcoin tweets," Finance Research Letters, Elsevier, vol. 39(C).
    44. Gunther Capelle†Blancard & Stéphanie Monjon, 2014. "The Performance of Socially Responsible Funds: Does the Screening Process Matter?," European Financial Management, European Financial Management Association, vol. 20(3), pages 494-520, June.
    45. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    46. Naeem, Muhammad Abubakr & Karim, Sitara, 2021. "Tail dependence between bitcoin and green financial assets," Economics Letters, Elsevier, vol. 208(C).
    47. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    48. Gutsche, Gunnar & Ziegler, Andreas, 2019. "Which private investors are willing to pay for sustainable investments? Empirical evidence from stated choice experiments," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 193-214.
    49. Christos Kollias & Stephanos Papadamou, 2016. "Environmentally Responsible and Conventional Market Indices’ Reaction to Natural and Anthropogenic Adversity: A Comparative Analysis," Journal of Business Ethics, Springer, vol. 138(3), pages 493-505, October.
    50. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2022. "Common Risk Factors in Cryptocurrency," Journal of Finance, American Finance Association, vol. 77(2), pages 1133-1177, April.
    51. Walther, Thomas & Klein, Tony & Bouri, Elie, 2019. "Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    52. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    53. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
    54. Hong, Harrison & Li, Frank Weikai & Xu, Jiangmin, 2019. "Climate risks and market efficiency," Journal of Econometrics, Elsevier, vol. 208(1), pages 265-281.
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