Abstract
In part IV we develop a continuous-time pricing model for one of the latest cash markets to be transformed by derivative securities — the electricity market. Based on available data on electricity derivatives we focus our attention on the valuation of short-term electricity forwards. First, we investigate the more mature futures markets contracted on established commodity underlyings and describe proposed pricing models for traditional commodity futures contracts from the literature. Thereby, we gather relevant information about the commodity electricity in order to build an appropriate valuation model to price electricity forwards in chapter 15. From given model assumptions we derive a closed-form valuation model for electricity forwards using the risk-neutral pricing technique of the EMM-approach. The suggested model especially captures the high and time varying volatility seen in electricity prices. In chapter 16 we present an empirical adaptation of the theoretical pricing model in state space form. Using maximum likelihood estimation based on extended Kalman filtering we report empirical results on electricity data from the largely deregulated Californian electricity market. In the last chapter we conclude.
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References
For historical, institutional and regulatory issues of futures exchanges see, for example, Markham (1987).
See, for example, Duffie (1989).
See Johnson and Sogomonian (1997)
See, for example, Duffie (1989) and Stoll and Whaley (1993).
This modeling approach can be taraced back to Ho and Lee (1986) and Heath, Jarrow, and Morton (1992).
Schwartz and Smith (2000) show that their model is equivalent to the convenience yield model of Gibson and Schwartz (1990)
On the isssue of rationalising the US power transmission business see, for example, Barber (1997).
For suggestions of different pricing models see, for example, Eydeland and Geman (1998).
For the marked volatility in energy prices that is both high and variable over time see, for example, Duffie and Gray (1995) and Pokalsky and Robinson (1997).
See, for example, Pokalsky and Robinson (1997) and Leong (1997).
See, for example, Wolak (1997) and Borenstein (2002).
For an examination of seasonal patterns in agricultural commodities see, for example, Sorensen (2002).
See, for example, Jameson (1997).
In applying these models for pricing purposes it needs to be ensured that power derivatives are valued risk neutrally. Leong (1997), for example, sees the need of properly distinguishing between power forward prices and forecasts of power prices.
For the stochastic specifications see table 14.2.
For Fourier analysis techniques applied to problems of financial asset pricing see, for example, Zhu (2000).
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© 2004 Springer-Verlag Berlin Heidelberg
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Kellerhals, B.P. (2004). Introduction and Survey. In: Asset Pricing. Springer Finance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24697-8_14
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DOI: https://doi.org/10.1007/978-3-540-24697-8_14
Publisher Name: Springer, Berlin, Heidelberg
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