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Parametric model risk and power plant valuation

Karl Bannör, Rüdiger Kiesel, Anna Nazarova and Matthias Scherer

Energy Economics, 2016, vol. 59, issue C, 423-434

Abstract: The fact that model and parameter risk are important sources of uncertainty in option pricing models and for risk management procedures has recently been recognised for financial markets, see Cont (2006); Morini (2011); Bannör and Scherer (2013). In the context of energy markets, investment decisions are often based on the valuation of fossil power plants as real options — depending on various underlying processes such as the power-, carbon emission certificate-, and gas price. To capture parametric model risk inherent in the valuation procedure of fossil power plants, we use a methodology recently established in Bannör and Scherer (2013). As gas-fired power plants are seen as flexible and low-carbon sources of electricity, which are important building blocks in terms of the switch to a low-carbon energy generation, we consider the model risk in this asset class in detail. Our findings reveal that spike risk is by far the most important source of parametric model risk.

Keywords: Power plant valuation; Parametric model risk; Spikes; Energy markets; Spark spread option (search for similar items in EconPapers)
JEL-codes: C10 C40 G13 Q40 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:59:y:2016:i:c:p:423-434

DOI: 10.1016/j.eneco.2016.08.004

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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