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Variance risk-premia in CO2 markets

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Listed author(s):
  • Chevallier, Julien

Abstract

This paper proposes a new methodology to measure the volatility of CO2 assets computed as the difference between model-free implied volatility (from option prices) and model-free realized volatility (from high-frequency intraday data), coined as ‘variance risk-premia’ (Carr and Wu, 2009; Bollerslev et al., 2009; Trolle and Schwartz, 2010), during 2008–2011. We find that variance risk-premia are equal to a daily sample average of 0.79 for European Union Allowances and 0.18 for Certified Emissions Reductions. In the spirit of the CAPM, we show that the beta can only explain a small portion, and that macro risk factors specific to CO2 markets and energy volatilities can improve this result. Hence, there exists a systematic variance risk factor in CO2 markets that asks for a highly risk premium. Further analysis shows that variance risk-premia are time-varying, and can be used as strong predictors for forecasting CO2 returns.

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File URL: http://www.sciencedirect.com/science/article/pii/S0264999312004452
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Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 31 (2013)
Issue (Month): C ()
Pages: 598-605

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Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:598-605
DOI: 10.1016/j.econmod.2012.12.017
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/30411

Keywords: Variance risk-premia; CO2 market; Model-free implied volatility; Realized volatility; Forecasting; EUA; CER; EU ETS; CDM; Energy volatilities;

Find related papers by JEL classification:

  • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
  • G1 - Financial Economics - - General Financial Markets
  • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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