References
- Aas, K., Czado, C., Frigessi, A. and Bakken, H., Pair-copula constructions of multiple dependence. Insurance: Math. Econ., 2009, 44, 182–198.
- Avdulaj, K. and Barunikl, J., Are benefits from oil--stocks diversification gone? New evidence from a dynamic copula and high frequency data. Energy Econ., 2015, 51, 31–44.
- Bedford, T. and Cooke, R.M., Probability density decomposition for conditionally dependent random variables modeled by vines. Ann. Math. Artif. Intell., 2001, 32, 245–268.
- Bedford, T. and Cooke, R.M., Vines---a new graphical model for dependent random variables. Ann. Stat., 2002, 30, 1031–1068.
- Benth, F.E. and Kettler, P.C., Dynamic copula models for the spark spread. Quant. Finance, 2011, 11, 407–421.
- Benth, F.E., Šaltyte-Benth, J. and Koekebakker, S., Stochastic Modeling of Electricity and Related Markets, 2008 (World Scientific: Singapore).
- Berg, D., Copula goodness-of-fit testing: An overview and power comparison. Eur. J. Finance, 2009, 15, 675–701.
- Brechmann, E.C. and Czado, C., Risk management with high-dimensional vine copulas: An analysis of the Euro Stoxx 50. Stat. Risk Model., 2013, 30, 307–342.
- Burger, M., Klar, B., Muller, A. and Schindlmayr, G., A spot market model for pricing derivatives in electricity markets. Quant. Finance, 2004, 4, 109–122.
- Carmona, R. and Durrleman, V., Pricing and hedging spread options. SIAM Rev., 2003, 45, 627–685.
- Cherubini, U. and Luciano, E., Bivariate option pricing with copulas. Appl. Math. Finance, 2002, 9, 69–85.
- Coulon, M., Powell, W.B. and Sircar, R., A model for hedging load and price risk in the Texas electricity market. Energy Econ., 2013, 40, 976–988.
- Creal, D., Koopman, S.J. and Lucas, A., Generalized autoregressive score models with applications. J. Appl. Econometrics, 2013, 28, 777–795.
- Czado, C., Schepsmeier, U. and Min, A., Maximum likelihood estimation of mixed C-vines with application to exchange rates. Stat. Model., 2012, 12, 229–255.
- EEX, Eex group workshop: European power [online]. EEX.com, (2014). Available online at: http://www.eex.com/blob/7168/5c3e1637302313fe753df1c750dc3e07/2-20140523-european-power-tg-pdf-data.pdf (accessed 23 June 2016).
- Elberg, C. and Hagspiel, S., Spatial dependencies of wind power and interrelations with spot price dynamics. Eur. J. Oper. Res., 2015, 241, 260–272.
- Gatfaoui, H., Linking the gas and oil markets with the stock market: Investigating the US relationship. Energy Econ., 2016, 53, 5–16.
- Genest, C., Remillard, B. and Beaudoin, D., Goodness-of-fit tests for copulas: A review and a power study. Insurance: Math. Econ., 2009, 44, 199–213.
- Grothe, O. and Schnieders, J., Spatial dependence in wind and optimal wind power allocation: A copula-based analysis. Energy Policy, 2011, 39, 4742–4754.
- Joe, H., Multivariate Models and Dependence Concepts, Vol. 1, 1997 (Chapman and Hall: London).
- Kolos, S.P. and Ronn, E.I., Estimating the commodity market price of risk for energy prices. Energy Econ., 2008, 30, 621–641.
- McKinnon, R.I., Future markets, buffer stocks, and income stability for primary producers. J. Polit. Econ., 1967, 75, 844–861.
- Nasdaq OMX, Trading appendix 2: Contract specifications [online], nasdaqomx.com, (2015). Available online at: http://www.nasdaqomx.com/digitalAssets/101/101150_151201-joint-appendix-2–contract-specifications.pdf (accessed 19 July 2016).
- Nelsen, R.B., An Introduction to Copulas, 1999 (Springer: New York).
- Oum, Y. and Oren, S.S., VaR constrained hedging of fixed price load-following obligations in competitive electricity markets. Risk Decision Anal., 2009, 1, 43–56.
- Oum, Y. and Oren, S.S., Optimal static hedging of volumetric risk in a competitive wholesale electricity market. Decis. Anal., 2010, 7, 107–122.
- Oum, Y., Oren, S.S. and Deng, S., Hedging quantity risks with standard power options in a competitive wholesale electricity market. Naval Res. Logistics, 2006, 53, 697–712.
- Patton, A.J., Modelling asymmetric exchange rate dependence. Int. Econ. Rev., 2006, 47, 527–556.
- Patton A.J., Copula methods for forecasting multivariate time series. In Handbook of Economic Forecasting, edited by G. Elliott and A. Timmermann, Vol. 2B, pp. 899–960, 2013 (Elsevier BV).
- Pircalabu, A., Hvolby, T., Jung, J. and Høg, E., Joint price and volumetric risk in wind power trading: A copula approach. Energy Econ., 2017, 62, 139–154.
- Reboredo, J.C. and Ugolini, A., A vine-copula conditional value-at-risk approach to systemic sovereign debt risk for the financial sector. North Am. J. Econ. Finance, 2015, 32, 98–123.
- Sklar, A., Fonctions de répartition à n dimensions et leurs marges. Publ. Inst. Stat. L’Université Paris, 1959, 8, 229–231.