Abstract
This chapter examines the EU Emissions Trading Scheme options and futures markets dynamics during the period 2005–2011. Observations on returns, volatilities and volumes on derivative instruments are studied. In addition, spot/future correlations, term structures and option implied volatility smiles and surfaces are examined. The aim is to ascertain whether the behavior of the EU ETS derivatives markets can be compared to that of commodity markets, specifically the developed West Texas Intermediate (WTI) crude oil derivatives market. The results indicate that the EU Emissions Trading Scheme derivatives markets have matured markedly since the start of Phase 2 of the Scheme, with rising volumes and declining return volatilities. Spot/future correlations, term structures and option volatility smiles and surfaces exhibit comparable behavior over time, albeit with certain discrepancies, with that found in the developed WTI crude oil derivatives market. These results are valuable both for traders of EU allowances and for those policy makers seeking to improve the design of the EU Emissions Trading Scheme.
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Notes
- 1.
It is noteworthy that, according to Europol, the European law-enforcement agency, the marked development in these statistics, for the EU ETS derivatives markets, occurred despite a backdrop of Europe having lost about 7.4 billion euros in taxation revenue for the 18 months prior to December 2009 because of CO2 VAT trading fraud.
- 2.
The balance consisted of spot along with UN-backed credits.
- 3.
It is important to note that in Phase 1 only inter-period banking of allowances was prohibited, there were no restrictions on intra-period banking.
- 4.
Borak et al. (2006) also find evidence of a weakly increasing term structure when examining Phase 2 instruments.
- 5.
Bredin, Hyde and Muckley (Bredin et al. 2009) examine the microstructure behaviour of trading volume, return volatility and transaction duration (time between consecutive trades) for Phase 1 and the initial contract of Phase 2 using transaction level data.
- 6.
The summary statistics for WTI December futures returns are reported in the Appendix to this chapter, see Table 5.8.
- 7.
See Bredin, Hyde and Muckley (Bredin et al. 2009) for an intra-day volatility and volume analysis of Phase 1 and early Phase 2 EUA December expiry futures contracts.
- 8.
Borak et al. (2006) used prices to conduct their correlation analysis.
- 9.
Borak et al. (2006) also find that futures prices within the same Phase exhibited stronger correlations.
- 10.
The sample of data used here is considerably larger than that adopted by Borak et al. (2006).
- 11.
Qualitatively similar term structures are present in 2009. These are available from the authors on request.
- 12.
The thin range of strikes has the implication of displaying the sharp trough on the smile.
- 13.
Building volatility surfaces involves a large amount of interpolation and the surfaces would primarily consist of prices and implied volatilities that are not available in the market.
- 14.
- 15.
One interesting fact to note is how the number of strikes actively traded increases as the maturity of the options increases.
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Bredin, D., Ó Ciagáin, É., Muckley, C.B. (2013). Energy Derivatives Market Dynamics. In: Dorsman, A., Simpson, J., Westerman, W. (eds) Energy Economics and Financial Markets. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30601-3_8
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