Abstract
This chapter models long-term electricity forward prices with variables that influence the price of electricity. Long-term modelling requires consideration of expected changes in the demand and supply structure. The model combines high-resolution information on fuel costs from financial markets and low-resolution information on the demand/supply structure of the electricity market. We model the latter using consumption and supply capacity and the former with forward prices of fuels, emission allowances and imported electricity. The model is estimated using data from the Nordic electricity market and global long-term forward prices of energy. Owing to a lack of data on consumption and supply capacity, the estimated results provide only the broad influence of these variables on forward prices. Though extrapolation of the prices observed in Nord Pool may suffer from the influence of short-term variables, such as precipitation and temperature, the model yields robust forecasts of the prices of contracts that are not exchange traded.
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References
Bessembinder H, Lemmon ML (2002) Equilibrium pricing and optimal hedging in electricity forward markets. J Finance 57(3):1347–1382
Brooks C (2003) Introductory econometrics for finance. Cambridge University Press, Cambridge, UK
Byström HN (2003) The hedging performance of electricity futures on the nordic power exchange. Appl Econ 35:1–11
Diko P, Lawford S, Limpens V (2006) Risk premia in electricity forward prices. Stud Nonlinear Dyn Econom 10(3):1358–1358
Eydeland A, Wolyniec K (2003) Energy and power risk management. Wiley, Chichester, UK
Johnsen TA (2001) Demand, generation and price in the norwegian market for electric power. Energy Econ 23:227–251
Johnsen TA, Spjeldnæs N (2004) Electricity demand and temperature – an empirical methodology for temperature correction in Norway. Norwegian Water Resources and Energy Directorate
Longstaff F, Wang A (2004) Electricity forward prices: A high-frequency empirical analysis. J Finance 59(4):1877–1900
Lucia JJ, Schwartz ES (2002) Electricity prices and power derivatives: Evidence from the nordic power exchange. Rev Deriv Res 5(1):5–50
Myers RH (1986) Classical and modern regression with applications. Duxbury Press, Boston
Ollmar F (2003) Empirical study of the risk premium in an electricity market. Working paper. Norwegian School of Economics and Business Administration
Perron P (1989) The great crash, the oil price shock, and the unit root hypothesis. Econometrica 57:1361–1401
Pindyck RS (1999) The long-run evolution of energy prices. Energy J 20:1–27
Pirrong C, Jermakyan M (2008) The price of power: The valuation of power and weather derivatives. J Bank Finance 32(12):2520–2529
Samuelson PA (1965) Proof that properly anticipated futures prices fluctuate randomly. Ind Manag Rev 6: 41–49
Schwartz ES (1997) The stochastic behavior of commodity prices: Implications for valuation and hedging. J Finance 52:923–973
Schwartz E, Smith JE (2000) Short-term variations and long-term dynamics in commodity prices. Manag Sci 46:893–911
Skantze PL, Ilic M, Gubina A (2004) Modeling locational price spreads in competitive electricity markets: Applications for transmission rights valuation and replication. IMA J Manag Math 15:291–319
Solibakke PB (2006) Describing the nordic forward electric-power market: A stochastic model approach. Int J Bus 11(4):345–366
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Povh, M., Golob, R., Fleten, SE. (2010). Modelling the Structure of Long-Term Electricity Forward Prices at Nord Pool. In: Rebennack, S., Pardalos, P., Pereira, M., Iliadis, N. (eds) Handbook of Power Systems II. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12686-4_7
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DOI: https://doi.org/10.1007/978-3-642-12686-4_7
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