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Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme

Author

Listed:
  • Thomas Aspinall
  • Adrian Gepp
  • Geoff Harris
  • Simone Kelly
  • Colette Southam
  • Bruce Vanstone

Abstract

This study models the term structure of the European Union Emissions Trading Scheme. The one‐factor geometric Brownian motion model of Abadie and Chamorro is replicated using the data now available and then compared with a two‐factor short‐term/long‐term (STLT) stochastic model. The STLT model has the better statistical fit to the term structure of European Union Allowances (EUAs). A real options analysis of the value of the option to retrofit carbon capture and storage shows that forecasting phase four EUAs with the STLT model almost triples the estimated project net present value and lowers investment trigger prices by approximately 24 percent.

Suggested Citation

  • Thomas Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2021. "Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3797-3819, June.
  • Handle: RePEc:bla:acctfi:v:61:y:2021:i:2:p:3797-3819
    DOI: 10.1111/acfi.12708
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    as
    1. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    2. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    3. Peter S. Reinelt & David W. Keith, 2007. "Carbon Capture Retrofits and the Cost of Regulatory Uncertainty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 101-128.
    4. Delphine Lautier & Alain Galli, 2004. "Simple and extended Kalman filters : an application to term structure of commodity prices," Post-Print halshs-00153042, HAL.
    5. Zhu, Lei & Fan, Ying, 2011. "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, vol. 88(12), pages 4320-4333.
    6. Delphine Lautier & Alain Galli, 2004. "Simple and extended Kalman filters: an application to term structures of commodity prices," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 963-973.
    7. Fuss, Sabine & Szolgayova, Jana & Obersteiner, Michael & Gusti, Mykola, 2008. "Investment under market and climate policy uncertainty," Applied Energy, Elsevier, vol. 85(8), pages 708-721, August.
    8. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
    9. Laurikka, Harri & Koljonen, Tiina, 2006. "Emissions trading and investment decisions in the power sector--a case study in Finland," Energy Policy, Elsevier, vol. 34(9), pages 1063-1074, June.
    10. Walsh, D.M. & O'Sullivan, K. & Lee, W.T. & Devine, M.T., 2014. "When to invest in carbon capture and storage technology: A mathematical model," Energy Economics, Elsevier, vol. 42(C), pages 219-225.
    11. Zhu, Lei & Fan, Ying, 2013. "Modelling the investment in carbon capture retrofits of pulverized coal-fired plants," Energy, Elsevier, vol. 57(C), pages 66-75.
    12. Delphine Lautier, 2004. "Simple and extended Kalman filters : an application to term structures of commodity prices," Post-Print halshs-00152998, HAL.
    13. World Bank & Ecofys & Vivid Economics, "undated". "State and Trends of Carbon Pricing 2016," World Bank Publications - Reports 25160, The World Bank Group.
    14. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    15. Compernolle, T. & Welkenhuysen, K. & Huisman, K. & Piessens, K. & Kort, P., 2017. "Off-shore enhanced oil recovery in the North Sea: The impact of price uncertainty on the investment decisions," Energy Policy, Elsevier, vol. 101(C), pages 123-137.
    16. Laude, Audrey & Jonen, Christian, 2013. "Biomass and CCS: The influence of technical change," Energy Policy, Elsevier, vol. 60(C), pages 916-924.
    17. Mo, Jianlei & Schleich, Joachim & Fan, Ying, 2018. "Getting ready for future carbon abatement under uncertainty – Key factors driving investment with policy implications," Energy Economics, Elsevier, vol. 70(C), pages 453-464.
    18. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
    19. Mebane Jr., Walter R. & Sekhon, Jasjeet S., 2011. "Genetic Optimization Using Derivatives: The rgenoud Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i11).
    20. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    21. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.
    22. Jian-Lei Mo & Lei Zhu, 2014. "Using Floor Price Mechanisms to Promote Carbon Capture and Storage (Ccs) Investment and Co2 Abatement," Energy & Environment, , vol. 25(3-4), pages 687-707, April.
    23. repec:dau:papers:123456789/10174 is not listed on IDEAS
    24. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    25. Eduardo Schwartz, 2013. "The Real Options Approach to Valuation: Challenges and Opportunities," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(2), pages 163-177, November.
    26. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
    27. Abadie, Luis M. & Chamorro, José M., 2008. "European CO2 prices and carbon capture investments," Energy Economics, Elsevier, vol. 30(6), pages 2992-3015, November.
    28. Audrey Laude & Christian Jonen, 2013. "Biomass and CCS: The influence of technical change," Post-Print hal-02071376, HAL.
    29. Zhou, Wenji & Zhu, Bing & Chen, Dingjiang & Zhao, Fangxian & Fei, Weiyang, 2014. "How policy choice affects investment in low-carbon technology: The case of CO2 capture in indirect coal liquefaction in China," Energy, Elsevier, vol. 73(C), pages 670-679.
    30. repec:dau:papers:123456789/876 is not listed on IDEAS
    31. Blyth, William & Bradley, Richard & Bunn, Derek & Clarke, Charlie & Wilson, Tom & Yang, Ming, 2007. "Investment risks under uncertain climate change policy," Energy Policy, Elsevier, vol. 35(11), pages 5766-5773, November.
    32. Beat Hintermann & Sonja Peterson & Wilfried Rickels, 2016. "Price and Market Behavior in Phase II of the EU ETS: A Review of the Literature," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 108-128.
    33. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    34. Hauck, Dominic & Hof, Andries F., 2017. "Abandonment of natural gas production and investment in carbon storage," Energy Policy, Elsevier, vol. 108(C), pages 322-329.
    35. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
    36. Delphine Lautier & A. Galli, 2004. "Simple and extended Kalman filters : an application to term structures of commodity prices," Post-Print halshs-00136139, HAL.
    37. repec:dau:papers:123456789/4210 is not listed on IDEAS
    38. repec:dau:papers:123456789/2437 is not listed on IDEAS
    39. Szolgayova, Jana & Fuss, Sabine & Obersteiner, Michael, 2008. "Assessing the effects of CO2 price caps on electricity investments--A real options analysis," Energy Policy, Elsevier, vol. 36(10), pages 3974-3981, October.
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