Abstract
Utilities with hard coal and lignite power plants, manufacturers, and aviation companies in the EU that emit greenhouse gases must invest in emission allowances to run their operations. The buy side of the capital market (e.g. hedge funds, insurers, and pension plans) can invest in these allowances to realise an investment asset which is uncorrelated to traditional market-risk investments. Given the high volatility of the price of emission allowances, all investors in emission allowances face a challenging risk-return situation that requires a thorough risk analysis. We show that this analysis can be undertaken using extreme value theory. For the analysed extreme emission allowance price returns, we identified saliently good fits between the empirical and theoretical Pareto distributions. We further show that emission allowances present an interesting investment case.
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Notes
As we are here interested in an investment case, we corrected the monthly ECarbix time series for two extreme outlier values that had occurred on 31.01.2013 and 31.03.2014. In both cases, a substantial surplus of emission allowances and a corresponding awareness by the market participants could serve as at least one important reason for these significant negative monthly returns.
Sample kurtosis value of the ECarbix without the correction of the outliers is 6.5170; see figure 1.
For five investment portfolios of alternatively 1, 2, 5, 8, and 10% of the total volume invested in the ECarbix and the remaining fraction in the DAX index, the null hypothesis of the Andersen–Darling test, that the portfolio log returns are logistic distributed, could in all cases not be rejected for a level of significance higher than 25%.
References
Balkema, A., and L. de Haan. 1974. Residual lifetime at great age. Annals of Probability 2: 792–804.
Barclays. 2022. iPath® Series B Carbon ETN. https://ipathetn.barclays/details.app;instrumentId=369782, Accessed 20.8.2022.
Basar, Shanny. 2021. From The Markets: ICE Moves EU Emission Allowance Contracts From UK. https://www.marketsmedia.com/ice-moves-eu-emission-allowance-contracts-from-uk/. Accessed 16 Jul 2022.
Bunn, Derek, William Blyth, Janne Kettunen, and Tom Wilson. 2009. Policy interactions, risk and price formulation in carbon markets. Energy Policy 37 (12): 5192–5207.
Chamberlain, Gary. 1983. A characterization of the distribution that imply mean-variance utility functions. Journal of Economic Theory 29 (1): 185–201.
Cludius, Johanna, and Regina Betz. 2020. The role of banks in EU emissions trading. The Energy Journal 41 (2): 275–300.
Davison, A.C., and R.L. Smith. 1990. Models for Exceedances over High Thresholds. Journal of the Royal Statistical Society 52 (3): 393–425.
EEX group. 2022a. trade registration rules. Leipzig 9.5.22. https://www.eex.com. Accessed 20 Aug 2022.
EEX group. 2022b. Emission spot primary auction market report. Leipzig 2022. https://www.eex.com. Accessed 21 Aug 2022.
Embrechts, P., C. Klüppelberg, T. Mikosch. 1997. Modeling Extremal Events for Insurance and Finance. Berlin: Springer.
ESMA. 2022. Final Report Emission allowances and associated derivatives. 28 March 2022 ESMA 70-445-38. https://www.esma.europa.eu
European Commission. 2016. The EU Emissions Trading System (EU ETS). https://ec.europa.eu. Accessed 16 Jul 2022.
Extraetf. 2022. WisdomTree Carbon ETC. https://de.extraetf.com/etf-profile/JE00BP2PWW32. Accessed 16 Jul 2022.
Frankfurt exchange. 2022. SparkChange Physical Carbon EUA ETC, https://www.boerse-frankfurt.de/etf/sparkchange-physical-carbon-eua-etc. Accessed 16 Jul 2022.
German Emissions Trading Authority. 2022. Auctioning (EU ETS) German Auctioning of Emission Allowances April 2022. Publisher German Emissions Trading Authority (DEHSt) at the German Environment Agency, Berlin May 2022. www.dehst.de/English.
Gilli, Manfred, and Evis Kéllezi. 2006. An application of extreme value theory for measuring financial risk. Computational Economics 27: 207–228.
Haites, E. 2018. Carbon taxes and greenhouse gas emissions trading systems: What have we learned?. Climate Policy 18: 955–966. https://doi.org/10.1080/14693062.2018.1492897.
Hosking, J.R.M., and J.R. Wallis. 1987. Parameter and quantile estimation for the generalized pareto distribution. Technometrics 29 (3): 339–349.
KraneShares. 2022a. KRBN, KraneShares Global Carbon Strategy ETF. https://kraneshares.com/krbn/, Accessed 16 Jul 2022.
KraneShares. 2022b. KCCA, KraneShares California Carbon Allowance Strategy ETF. https://kraneshares.com/kcca/. Accessed 16 Jul 2022.
KraneShares. 2022c. KEUA, KraneShares European Carbon Allowance Strategy ETF. https://kraneshares.com/keua/. Accessed 16 Jul 2022.
Levy, H., R. Duchin. 2004. Asset Return Distributions and the Investment Horizon. Journal of Portfolio Management Spring: 47-62.
Mitzenmacher, Michael. 2003. A brief history of generative models for power law and lognormal distributions. Internet Mathematics 1 (2): 226–251.
Owen, Joel, and Ramon Rabinovitch. 1983. On the class of elliptical distributions and their applications to the theory of portfolio choice. Journal of Finance 38 (3): 745–752.
Oxera. 2022. Carbon trading in the European Union - An economic assessment of market functioning in 2021 Prepared for ICE. 15 February 2022. https://www.oxera.com.
Pickands, J. 1975. Statistical inference using extreme order statistics. The Annals of Statistics 3: 119–131.
Reuters. 2022. Refinitiv Eikon, https://www.refinitiv.com. Accessed 10 Sep 2022.
Ross, Stephen A. 1978. Mutual fund separation in financial theory – The separating distributions. Journal of Economic Theory 17 (2): 254–286.
Société Générale. 2022. Société Générale Effekten GmbH Frankfurt am Main (issuer) Final requirements from 26. March 2020 for continuation of the supply of unlimited certificates based on the ICE ECX EUA futures contract. https://www.sg-zertifikate.de. Accessed 20. Aug 2022.
UK Gov. 2022. Department for Business, Energy & Industrial Strategy, Participating in the UK ETS, updated 13 July 2022. https://www.gov.uk/government/publications/participating-in-the-uk-ets/participating-in-the-uk-ets. Accessed 20 Aug 2022.
Unicredit. 2022. Final requirements from 1. December 2021, UniCredit Bank AG Legal Entity Identifier (LEI): 2ZCNRR8UK83OBTEK2170, HVB open end certificate based on the ICE ECX EUA future based on basis prospectus for securities with single underlyings (without capital protection). https://www.onemarkets.de. Accessed 20 Aug 2022.
WisdomTree. 2022. WisdomTree Carbon. https://www.wisdomtree.eu/de-de/-/media/eu-media-files/key-documents/factsheet/etf-securities/eng-carb-ln-wisdomtree-carbon. Accessed 20 Aug 2022.
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Treptow, T.M. CO2 investment risk analysis. J Asset Manag 25, 19–30 (2024). https://doi.org/10.1057/s41260-023-00342-z
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DOI: https://doi.org/10.1057/s41260-023-00342-z
Keywords
- Investing in greenhouse gas emission allowances
- Investment risk analysis
- Extreme value theory
- Asset allocation