Research article

Interlinkages between Bitcoin, green financial assets, oil, and emerging stock markets

  • Received: 21 December 2023 Revised: 05 March 2024 Accepted: 10 March 2024 Published: 25 March 2024
  • JEL Codes: B23, C32, G10, Q4

  • In this article, we describe the novel properties of Bitcoin and green financial assets and empirically examine the connectedness between Bitcoin and two green financial assets (i.e., carbon emissions, green bonds) and two representative markets of conventional assets (i.e., oil and emerging stock). This study also analyzes whether Bitcoin, carbon, green bonds, oil, and emerging stock assets can hedge against any market turbulence. From observed findings, Bitcoin was not an effective substitute for green bond assets. Thus, Bitcoin is not a valuable hedge instrument to substitute green bonds to mitigate climate risks. More precisely, the findings of the study show that carbon assets outperform emerging stock assets amidst the COVID-19 crisis, while the stock markets incurred significant losses. Crucially, the innovative findings also played an important role for policymakers interested in decarbonizing the crypto-assets.

    Citation: Kuo-Shing Chen. Interlinkages between Bitcoin, green financial assets, oil, and emerging stock markets[J]. Data Science in Finance and Economics, 2024, 4(1): 160-187. doi: 10.3934/DSFE.2024006

    Related Papers:

  • In this article, we describe the novel properties of Bitcoin and green financial assets and empirically examine the connectedness between Bitcoin and two green financial assets (i.e., carbon emissions, green bonds) and two representative markets of conventional assets (i.e., oil and emerging stock). This study also analyzes whether Bitcoin, carbon, green bonds, oil, and emerging stock assets can hedge against any market turbulence. From observed findings, Bitcoin was not an effective substitute for green bond assets. Thus, Bitcoin is not a valuable hedge instrument to substitute green bonds to mitigate climate risks. More precisely, the findings of the study show that carbon assets outperform emerging stock assets amidst the COVID-19 crisis, while the stock markets incurred significant losses. Crucially, the innovative findings also played an important role for policymakers interested in decarbonizing the crypto-assets.



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    [1] Arfaoui N, Naeem MA, Boubaker S, et al. (2023) Interdependence of clean energy and green markets with cryptocurrencies. Energy Econ 120: 106584. https://doi.org/10.1016/j.eneco.2023.106584 doi: 10.1016/j.eneco.2023.106584
    [2] Alexakis C, Eleftheriou K, Patsoulis P (2021) COVID-19 containment measures and stock market returns: An international spatial econometrics investigation. J Behav. Exp Financ 29: 100428. https://doi.org/10.1016/j.jbef.2020.100428 doi: 10.1016/j.jbef.2020.100428
    [3] Anwer Z, Farid S, Khan A, et al. (2023) Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist? Int Rev Econ Financ 85: 418–431. https://doi.org/10.1016/j.iref.2023.02.005 doi: 10.1016/j.iref.2023.02.005
    [4] Attarzadeh A, Balcilar M (2022) On the dynamic return and volatility connectedness of cryptocurrency, crude oil, clean energy, and stock markets: A time-varying analysis. Environ Sci Pollut Res 29: 65185–65196. https://doi.org/10.1007/s11356-022-20115-2 doi: 10.1007/s11356-022-20115-2
    [5] Baur DG, Lucey BM (2010) Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Rev 45: 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x doi: 10.1111/j.1540-6288.2010.00244.x
    [6] Batten JA, Maddox GE, Young MR (2021) Does weather, or energy prices, affect carbon prices? Energy Econ 96: 105016. https://doi.org/10.1016/j.eneco.2020.105016 doi: 10.1016/j.eneco.2020.105016
    [7] Bariviera AF, Merediz-Solà I (2021) Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis. J Econ Surv 35: 377–407. https://doi.org/10.1111/joes.12412 doi: 10.1111/joes.12412
    [8] Beirne J, Caporale GM, Schulze-Ghattas M, et al. (2013) Volatility spillovers and contagion from mature to emerging equity markets. Rev Int Econ 21: 1060–1075. https://doi.org/10.1111/roie.12091 doi: 10.1111/roie.12091
    [9] Bouri E, Shahzad SJH, Roubaud D, et al. (2020) Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. Q Rev Econ Financ 77: 156–164. https://doi.org/10.1016/j.qref.2020.03.004 doi: 10.1016/j.qref.2020.03.004
    [10] Canh NP, Wongchoti U, Thanh SD, et al. (2019) Systematic risk in cryptocurrency market: Evidence from DCC-MGARCH model. Financ Res Lett 29: 90e100. https://doi.org/10.1016/j.frl.2019.03.011 doi: 10.1016/j.frl.2019.03.011
    [11] Cappiello L, Engle RF, Sheppard K (2006) Asymmetric dynamics in the correlations of global equity and bond returns. J Financ Econ 4: 537–572. https://doi.org/10.1093/jjfinec/nbl005 doi: 10.1093/jjfinec/nbl005
    [12] Carter (2021) How Much Energy Does Bitcoin Actually Consume? Harvard Business Review. May 5. Available from: https://hbr.org/2021/05/how-much-energy-does-bitcoin-actually-consume.
    [13] Conlon T, Corbet S, McGee RJ (2020) Are Cryptocurrencies a Safe Haven for Equity Markets? An International Perspective from the COVID-19 Pandemic. Res Int Bus Financ 24: 101248. https://doi.org/10.1016/j.ribaf.2020.101248 doi: 10.1016/j.ribaf.2020.101248
    [14] Charfeddine L, Benlagha N, Maouchi Y (2020) Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors. Econ Model 85: 198–217. https://doi.org/10.1016/j.econmod.2019.05.016 doi: 10.1016/j.econmod.2019.05.016
    [15] Chang L, Taghizadeh-Hesary F, Chen H, et al. (2022) Do green bonds have environmental benefits? Energy Econ 115: 106356. https://doi.org/10.1016/j.eneco.2022.106356 doi: 10.1016/j.eneco.2022.106356
    [16] Chen KS, Chang SH (2022) Volatility Co-Movement between Bitcoin and Stablecoins: BEKK–GARCH and Copula–DCC–GARCH Approaches. Axioms 11: 259. https://doi.org/10.3390/axioms11060259 doi: 10.3390/axioms11060259
    [17] Chen KS, Ong WC (2024) Dynamic correlations between Bitcoin, carbon emission, oil and gold markets: New implications for portfolio management. AIMS Math 9: 1403–1433. https://doi.org/10.3934/math.2024069 doi: 10.3934/math.2024069
    [18] Corbet S, Lucey B, Yarovaya L (2021) Bitcoin-energy markets interrelationships-New evidence. Resour Policy 70: 101916. https://doi.org/10.1016/j.resourpol.2020.101916 doi: 10.1016/j.resourpol.2020.101916
    [19] Engle RF, Ng VK (1993) Measuring and testing the impact of news on volatility. J Financ 48: 1749–1778. https://doi.org/10.1111/j.1540-6261.1993.tb05127.x doi: 10.1111/j.1540-6261.1993.tb05127.x
    [20] Engle R (2002) Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J Bus Econ Stat 20: 339–350. https://doi.org/10.1198/073500102288618487 doi: 10.1198/073500102288618487
    [21] Flammer C (2020) Green bonds: effectiveness and implications for public policy. Environ Energ Policy Econ 1: 95–128. https://doi.org/10.1086/706794 doi: 10.1086/706794
    [22] Ghabri Y, Rhouma OB, Gana M, et al. (2022) Information transmission among energy markets, cryptocurrencies, and stablecoins under pandemic conditions. Int Rev Financ Anal 82: 102197. https://doi.org/10.1016/j.irfa.2022.102197 doi: 10.1016/j.irfa.2022.102197
    [23] Glosten LR, Jagannathan R, Runkle DE (1993) On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. J Financ 48: 1779–1801. https://doi.org/10.1111/j.1540-6261.1993.tb05128.x doi: 10.1111/j.1540-6261.1993.tb05128.x
    [24] Goodell JW, Corbet S, Yadav MP, et al. (2022) Time and frequency connectedness of green equity indices: Uncovering a socially important link to Bitcoin. Int Rev Financ Anal 84: 102379. https://doi.org/10.1016/j.irfa.2022.102379 doi: 10.1016/j.irfa.2022.102379
    [25] Li Z, Mo B, Nie H (2023) Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China. Int Rev Econ Financ 86: 46–57. https://doi.org/10.1016/j.iref.2023.01.015 doi: 10.1016/j.iref.2023.01.015
    [26] Iqbal N, Naeem MA, Suleman MT (2022) Quantifying the asymmetric spillovers in sustainable investments. J Int Financ Mark Inst Money 77: 101480. https://doi.org/10.1016/j.intfin.2021.101480 doi: 10.1016/j.intfin.2021.101480
    [27] Jegadeesh N, Titman S (1993) Returns to buying winners and selling losers: Implications for stock market efficiency. J Financ 48: 65–91. https://doi.org/10.1111/j.1540-6261.1993.tb04702.x doi: 10.1111/j.1540-6261.1993.tb04702.x
    [28] Ji Q, Bouri E, Roubaud D, et al. (2019) Information interdependence among energy, cryptocurrency and major commodity markets. Energy Econ 81: 1042–1055. https://doi.org/10.1016/j.eneco.2019.06.005 doi: 10.1016/j.eneco.2019.06.005
    [29] Markowitz H (1952) Portfolio Selection. J Financ 7: 77–91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x doi: 10.1111/j.1540-6261.1952.tb01525.x
    [30] Mensi W, Rehman MU, Maitra D, et al. (2020) Does bitcoin co-move and share risk with Sukuk and world and regional Islamic stock markets? Evidence using a time-frequency approach. Res Int Bus Financ 53: 101230. https://doi.org/10.1016/j.ribaf.2020.101230 doi: 10.1016/j.ribaf.2020.101230
    [31] Mukanjari S, Sterner T (2020) Charting a "green path" for recovery from COVID-19. Environ Resour Econ 76: 825–853. https://doi.org/10.1007/s10640-020-00479-0 doi: 10.1007/s10640-020-00479-0
    [32] Naeem MA, Karim S (2021) Tail dependence between bitcoin and green financial assets. Econ Lett 208: 110068. https://doi.org/10.1016/j.econlet.2021.110068 doi: 10.1016/j.econlet.2021.110068
    [33] Naeem MA, Iqbal N, Lucey BM, et al. (2022) Good versus bad information transmission in the cryptocurrency market: evidence from high-frequency data. J Int Financ Mark Inst Money 81: 101695. https://doi.org/10.1016/j.intfin.2022.101695 doi: 10.1016/j.intfin.2022.101695
    [34] Nedopil Wang C, Lund Larsen M, Wang Y (2022) Addressing the missing linkage in sustainable finance: The 'SDG Finance Taxonomy'. J Sustain Financ Invest 12: 630–637. https://doi.org/10.1080/20430795.2020.1796101 doi: 10.1080/20430795.2020.1796101
    [35] Haffar A, Le Fur É (2022) Time-varying dependence of Bitcoin. Q Rev Econ Financ 86: 211–220. https://doi.org/10.1016/j.qref.2022.07.008 doi: 10.1016/j.qref.2022.07.008
    [36] Hatem BRIK, Jihene El OUAKDI, Zied FTITI (2022) Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics. Res Int Bus Financ 62: 101720. https://doi.org/10.1016/j.ribaf.2022.101720 doi: 10.1016/j.ribaf.2022.101720
    [37] Huynh ANQ, Duong D, Burggraf T, et al. (2022) Energy consumption and Bitcoin market. Asia-Pac Financ 29: 79–93. https://doi.org/10.1007/s10690-021-09338-4 doi: 10.1007/s10690-021-09338-4
    [38] Hou Y, Li Y, Hu Y, et al. (2022) Time-varying spillovers of higher moments between Bitcoin and crude oil markets and the impact of the US–China trade war: a regime-switching perspective. Eur J Financ 1–31. https://doi.org/10.1080/1351847X.2022.2067002 doi: 10.1080/1351847X.2022.2067002
    [39] Khaki A, Prasad M, Al-Mohamad S, et al. (2023) Re-evaluating portfolio diversification and design using cryptocurrencies: Are decentralized cryptocurrencies enough? Res Int Bus Financ 64: 101823. https://doi.org/10.1016/j.ribaf.2022.101823 doi: 10.1016/j.ribaf.2022.101823
    [40] Kroner K, Ng V (1998) Modelling asymmetric movements of asset prices. Rev Financ Stud 11: 844–871. https://doi.org/10.1093/rfs/11.4.817 doi: 10.1093/rfs/11.4.817
    [41] Kroner K, Sultan J (1993) Time-varying distributions and dynamic hedging with foreign currency futures. J Financ Quant Ann 28: 535–551. https://doi.org/10.2307/2331164 doi: 10.2307/2331164
    [42] Klein T, Thu HP, Walther T (2018) Bitcoin is not the new gold–A comparison of volatility, correlation, and portfolio performance. Int Rev Financ Anal 59: 105–116. https://doi.org/10.1016/j.irfa.2018.07.010 doi: 10.1016/j.irfa.2018.07.010
    [43] Okorie DI, Lin B (2020) Crude oil price and cryptocurrencies: evidence of volatility connectedness and hedging strategy. Energy Econ 87: 104703. https://doi.org/10.1016/j.eneco.2020.104703 doi: 10.1016/j.eneco.2020.104703
    [44] Okorie DI (2021) A network analysis of electricity demand and the cryptocurrency markets. Int J Financ Econ 26: 3093–3108. https://doi.org/10.1002/ijfe.1952 doi: 10.1002/ijfe.1952
    [45] Pan W, Cao H, Liu Y (2023) "Green" innovation, privacy regulation and environmental policy. Renew Energ 203: 245–254. https://doi.org/10.1016/j.renene.2022.12.025 doi: 10.1016/j.renene.2022.12.025
    [46] Pástor Ľ, Stambaugh RF, Taylor LA (2022) Dissecting green returns. J Financ Econ 146: 403–424. https://doi.org/10.1016/j.jfineco.2022.07.007 doi: 10.1016/j.jfineco.2022.07.007
    [47] Pham L, Karim S, Naeem MA, et al. (2022) A tale of two tails among carbon prices, green and non-green cryptocurrencies. Int Rev Financ Anal 82: 102139. https://doi.org/10.1016/j.irfa.2022.102139 doi: 10.1016/j.irfa.2022.102139
    [48] Qi X, Zhang G (2022) Dynamic connectedness of China's green bonds and asset classes. N Am J Econ Financ 63: 101842. https://doi.org/10.1016/j.najef.2022.101842 doi: 10.1016/j.najef.2022.101842
    [49] Qian L, Jiang Y, Long H (2023a) What drives the interdependence between Chinese and global stock markets? Modern Financ 1: 12–16. https://doi.org/10.61351/mf.v1i1.5 doi: 10.61351/mf.v1i1.5
    [50] Qian L, Jiang Y, Long H (2023b) Extreme risk spillovers between China and major in-ternational stock markets. Modern Financ 1: 30–34. https://doi.org/10.61351/mf.v1i1.6 doi: 10.61351/mf.v1i1.6
    [51] Reboredo JC, Ugolini A (2018) The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach. Energy Econ 76: 136–152. https://doi.org/10.1016/j.eneco.2018.10.012 doi: 10.1016/j.eneco.2018.10.012
    [52] Reboredo JC (2018) Green bond and financial markets: co-movement, diversification and price spillover effects. Energy Econ 74: 38–50. https://doi.org/10.1016/j.eneco.2018.05.030 doi: 10.1016/j.eneco.2018.05.030
    [53] Ren X, Li Y, Wen F, et al. (2022) The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method. Technol Forecast Soc Change 179: 121611. https://doi.org/10.1016/j.techfore.2022.121611 doi: 10.1016/j.techfore.2022.121611
    [54] Rubbaniy G, Khalid AA, Samitas A (2021) Are cryptos safe-haven assets during Covid-19? Evidence from wavelet coherence analysis. Emer Mark Financ Tr 57: 1741–1756. https://doi.org/10.1080/1540496X.2021.1897004 doi: 10.1080/1540496X.2021.1897004
    [55] Southworth K (2009) Corporate voluntary action: A valuable but incomplete solution to climate change and energy security challenges. Policy Soc 27: 329–350. https://doi.org/10.1016/j.polsoc.2009.01.008 doi: 10.1016/j.polsoc.2009.01.008
    [56] Sharma GD, Shahbaz M, Singh S, et al. (2023) Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States. Resour Policy 80: 103168. https://doi.org/10.1016/j.resourpol.2022.103168 doi: 10.1016/j.resourpol.2022.103168
    [57] Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meterol Soc 79: 61–78. https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 doi: 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
    [58] Uddin GS, Hernandez JA, Shahzad SJH, et al. (2018) Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets. Energ Econ 71: 35–46. https://doi.org/10.1016/j.eneco.2018.01.035 doi: 10.1016/j.eneco.2018.01.035
    [59] Wang P, Zhang W, Li X, et al. (2019) Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective. Financ Res Lett 31: 1–18. https://doi.org/10.1016/j.frl.2019.04.031 doi: 10.1016/j.frl.2019.04.031
    [60] Wen F, Zhao L, He S, et al. (2020) Asymmetric relationship between carbon emission trading market and stock market: evidences from China. Energ Econ 91: 104850. https://doi.org/10.1016/j.eneco.2020.104850 doi: 10.1016/j.eneco.2020.104850
    [61] Wei KJ, Liu YJ, Yang CC, et al. (1995) Volatility and price change spillovers in developed and emerging markets. Pac Basin Financ J 3: 113–136. https://doi.org/10.1016/0927-538X(94)00029-7 doi: 10.1016/0927-538X(94)00029-7
    [62] Wu R, Qin Z (2024) Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets. Energy 292: 130504. https://doi.org/10.1016/j.energy.2024.130504 doi: 10.1016/j.energy.2024.130504
    [63] Yan P, Schroeder R, Stier S (2022) Is there a link between climate change scepticism and populism? An analysis of web tracking and survey data from Europe and the US. Inf Commun Soc 25: 1400–1439. https://doi.org/10.1080/1369118X.2020.1864005 doi: 10.1080/1369118X.2020.1864005
    [64] Yadav MP, Kumar S, Mukherjee D, et al. (2023) Do green bonds offer a diversification opportunity during COVID-19?—an empirical evidence from energy, crypto, and carbon markets. Environ Sci Pollut Res 30: 7625–7639. https://doi.org/10.1007/s11356-022-22492-0 doi: 10.1007/s11356-022-22492-0
    [65] Yadav MP, Tandon P, Singh AB, et al. (2022) Exploring time and frequency linkages of green bond with renewable energy and crypto market. Ann Oper Res 1–26. https://doi.org/10.1007/s10479-022-05074-8 doi: 10.1007/s10479-022-05074-8
    [66] Yang L, Hamori S (2021) The role of the carbon market in relation to the cryptocurrency market: Only diversification or more? Int Rev Financ Anal 77: 101864. https://doi.org/10.1016/j.irfa.2021.101864 doi: 10.1016/j.irfa.2021.101864
    [67] Zeng T, Yang M, Shen Y (2020) Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks. Econ Model 90: 209–220. https://doi.org/10.1016/j.econmod.2020.05.003 doi: 10.1016/j.econmod.2020.05.003
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