Research article

Does carbon asset add value to clean energy market? Evidence from EU

  • Received: 07 September 2021 Accepted: 21 November 2021 Published: 26 November 2021
  • JEL Codes: C40, G11, G15, D81

  • This paper examines if clean energy stocks help investors in managing carbon risk. We use the price of the European Union Allowance (EUA) and European clean energy index (ERIX) for the three phases of the EU-Emission Trading Scheme. Analyzing the time-varying correlation and volatility of EUA stock and ERIX through generalized orthogonal GO-GARCH model, the empirical results reveal relative independence of the European renewable energy market from the carbon market providing diversification benefits and value addition by including carbon assets in clean energy stock portfolio. Furthermore, three portfolios with different weight allocation strategies reveal that the carbon asset provides risk and downside risk benefits when mixed with a clean energy stock portfolio. These results are useful for investors who enter the market for value maximization and the regulators striving to make strategies for managing carbon risk.

    Citation: Memoona Kanwal, Hashim Khan. Does carbon asset add value to clean energy market? Evidence from EU[J]. Green Finance, 2021, 3(4): 495-507. doi: 10.3934/GF.2021023

    Related Papers:

  • This paper examines if clean energy stocks help investors in managing carbon risk. We use the price of the European Union Allowance (EUA) and European clean energy index (ERIX) for the three phases of the EU-Emission Trading Scheme. Analyzing the time-varying correlation and volatility of EUA stock and ERIX through generalized orthogonal GO-GARCH model, the empirical results reveal relative independence of the European renewable energy market from the carbon market providing diversification benefits and value addition by including carbon assets in clean energy stock portfolio. Furthermore, three portfolios with different weight allocation strategies reveal that the carbon asset provides risk and downside risk benefits when mixed with a clean energy stock portfolio. These results are useful for investors who enter the market for value maximization and the regulators striving to make strategies for managing carbon risk.



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    [1] Alexander C (2000) A primer on the orthogonal GARCH model. Manuscript ISMA Centre, University of Reading, UK, 2.
    [2] Andersson M, Bolton P, Samama F (2016) Hedging climate risk. Financ Anal J 72: 13-32. doi: 10.2469/faj.v72.n3.4
    [3] Arouri MEH, Lahiani A, Nguyen DK (2015) Cross-market dynamics and optimal portfolio strategies in Latin American equity markets. Eur Bus Rev 27: 161-181. doi: 10.1108/EBR-04-2013-0069
    [4] Bai L, Liu Y, Wang Q, et al. (2019) Improving portfolio performance of renewable energy stocks using robust portfolio approach: Evidence from China. Phys A 533: 122059.
    [5] Balcılar M, Demirer R, Hammoudeh S, et al. (2016) Risk spillovers across the energy and carbon markets and hedging strategies for carbon risk. Energ Econ 54: 159-172. doi: 10.1016/j.eneco.2015.11.003
    [6] Basher SA, Sadorsky P (2016) Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH. Energ Econ 54: 235-247. doi: 10.1016/j.eneco.2015.11.022
    [7] Benz E, Trück S (2006) CO2 emission allowances trading in Europe—specifying a new class of assets. Prob Perspect Manage 4: 30-40.
    [8] Bing X, Bloemhof-Ruwaard J, Chaabane A, et al. (2015) Global reverse supply chain redesign for household plastic waste under the emission trading scheme. J Clean Prod 103: 28-39. doi: 10.1016/j.jclepro.2015.02.019
    [9] Bunn D, Fezzi C (2007) Interaction of European carbon trading and energy prices.
    [10] Chkili W (2016) Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries. Res Int Bus Financ 38: 22-34. doi: 10.1016/j.ribaf.2016.03.005
    [11] Convery FJ, Redmond L (2007) Market and price developments in the European Union emissions trading scheme.
    [12] Creti A, Jouvet PA, Mignon V (2012) Carbon price drivers: Phase I versus Phase II equilibrium? Energ Econ 34: 327-334.
    [13] DeMiguel V, Garlappi L, Uppal R (2009) Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy? Rev Financ Stud 22: 1915-1953.
    [14] Ding Z (1994) Time series analysis of speculative returns, University of California, San Diego, Department of Economics.
    [15] Dutta A (2018) Modeling and forecasting the volatility of carbon emission market: The role of outliers, time-varying jumps and oil price risk. J Clean Prod 172: 2773-2781. doi: 10.1016/j.jclepro.2017.11.135
    [16] Dutta A (2019) Impact of carbon emission trading on the European Union biodiesel feedstock market. Biomass Bioenergy 128: 105328.
    [17] Dutta A, Bouri E, Noor MH (2018) Return and volatility linkages between CO2 emission and clean energy stock prices. Energy 164: 803-810. doi: 10.1016/j.energy.2018.09.055
    [18] Engle R (2002) Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J Bus Econ Stat 20: 339-350. doi: 10.1198/073500102288618487
    [19] Ghalanos A (2014) The rmgarch models: Background and properties.
    [20] Gronwald M, Ketterer J, Trück S (2011) The relationship between carbon, commodity and financial markets: A copula analysis. Econ Record 87: 105-124. doi: 10.1111/j.1475-4932.2011.00748.x
    [21] Jammazi R, Reboredo JC (2016) Dependence and risk management in oil and stock markets. A wavelet-copula analysis. Energy 107: 866-888. doi: 10.1016/j.energy.2016.02.093
    [22] Kara M, Syri S, Lehtilä A, et al. (2008) The impacts of EU CO2 emissions trading on electricity markets and electricity consumers in Finland. Energy Econ 30: 193-211. doi: 10.1016/j.eneco.2006.04.001
    [23] Kazemilari M, Mardani A, Streimikiene D, et al. (2017) An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach. Renewable Energy 102: 107-117. doi: 10.1016/j.renene.2016.10.029
    [24] Keppler JH, Mansanet-Bataller M (2010) Causalities between CO2, electricity, and other energy variables during phase I and phase II of the EU ETS. Energy Policy 38: 3329-3341. doi: 10.1016/j.enpol.2010.02.004
    [25] Koch N, Fuss S, Grosjean G, et al. (2014) Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence. Energy Policy 73: 676-685. doi: 10.1016/j.enpol.2014.06.024
    [26] Kroner KF, Ng VK (1998) Modeling asymmetric movement of asset prices. Rev Financ Stud 11: 844-871. doi: 10.1093/rfs/11.4.817
    [27] Kumar S, Managi S, Matsuda A (2012) Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis. Energ Econ 34: 215-226. doi: 10.1016/j.eneco.2011.03.002
    [28] Lam L, Fung L, Yu IW (2009) Forecasting a large dimensional covariance matrix of a portfolio of different asset classes. Hong Kong Monetary Authority Working Paper, (01).
    [29] Lashof DA, Ahuja DR (1990) Relative contributions of greenhouse gas emissions to global warming. Nature 344: 529-531. doi: 10.1038/344529a0
    [30] Leitao J, Ferreira J, Santibanez‐Gonzalez E (2021) Green bonds, sustainable development and environmental policy in the European Union carbon market. Bus Strat Environ 30: 2077-2090. doi: 10.1002/bse.2733
    [31] Lin B, Chen Y (2019) Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China. Energy 172: 1198-1210. doi: 10.1016/j.energy.2019.02.029
    [32] Lin B, Jia Z (2020) Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions. Appl Energy 263: 114605.
    [33] Liu L, Chen C, Zhao Y, et al. (2015) China's carbon-emissions trading: Overview, challenges and future. Renewable Sustainable Energy Rev 49: 254-266. doi: 10.1016/j.rser.2015.04.076
    [34] Luo C, Wu D (2016) Environment and economic risk: An analysis of carbon emission market and portfolio management. Environ Res 149: 297-301. doi: 10.1016/j.envres.2016.02.007
    [35] Marimoutou V, Soury M (2015) Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model. Energy 88: 417-429. doi: 10.1016/j.energy.2015.05.060
    [36] O'Mahony T (2020) State of the art in carbon taxes: a review of the global conclusions. Green Financ 2: 409-423. doi: 10.3934/GF.2020022
    [37] Papantonis I (2016) Volatility risk premium implications of GARCH option pricing models. Econ Model 58: 104-115. doi: 10.1016/j.econmod.2016.05.004
    [38] Reboredo JC (2013) Modeling EU allowances and oil market interdependence. Implications for portfolio management. Energ Econ 36: 471-480. doi: 10.1016/j.eneco.2012.10.004
    [39] Reboredo JC (2014) Volatility spillovers between the oil market and the European Union carbon emission market. Econ Model 36: 229-234. doi: 10.1016/j.econmod.2013.09.039
    [40] Reboredo JC (2015) Is there dependence and systemic risk between oil and renewable energy stock prices? Energ Econ 48: 32-45.
    [41] Reboredo JC, Ugolini A, Chen Y (2019) Interdependence Between Renewable-Energy and Low-Carbon Stock Prices. Energies 12: 4461.
    [42] Sadorsky P (2012) Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies. Energ Econ 34: 248-255. doi: 10.1016/j.eneco.2011.03.006
    [43] Tian Y, Akimov A, Roca E, et al. (2016) Does the carbon market help or hurt the stock price of electricity companies? Further evidence from the European context. J Clean Prod 112: 1619-1626. doi: 10.1016/j.jclepro.2015.07.028
    [44] Uddin N, Holtedahl P (2013) Emission trading schemes-avenues for unified accounting practices. J Clean Prod 52: 46-52. doi: 10.1016/j.jclepro.2013.03.017
    [45] Van der Weide R (2002) GO‐GARCH: a multivariate generalized orthogonal GARCH model. J Appl Econometrics 17: 549-564. doi: 10.1002/jae.688
    [46] Wen X, Bouri E, Roubaud D (2017) Can energy commodity futures add to the value of carbon assets? Econ Model 62: 194-206.
    [47] Zhang G, Du Z (2017) Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China. Energy 135: 249-256. doi: 10.1016/j.energy.2017.06.103
    [48] Zhang YJ, Sun YF (2016) The dynamic volatility spillover between European carbon trading market and fossil energy market. J Clean Prod 112: 2654-2663. doi: 10.1016/j.jclepro.2015.09.118
    [49] Zhang Y, Liu Z, Yu X (2017) The diversification benefits of including carbon assets in financial portfolios. Sustainability 9: 437.
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