Parametric model risk and power plant valuation

被引:7
作者
Bannoer, Karl [1 ]
Kiesel, Ruediger [2 ]
Nazarova, Anna [2 ]
Scherer, Matthias [1 ]
机构
[1] Tech Univ Munich, Chair Math Finance, Pk Ring 11, D-85748 Garching, Germany
[2] Univ Duisburg Essen, Chair Energy Trading & Finance, Campus Essen,Univ Str 12, D-45141 Essen, Germany
关键词
Power plant valuation; Parametric model risk; Spikes; Energy markets; Spark spread option; ELECTRICITY; SPIKES; OPTIONS;
D O I
10.1016/j.eneco.2016.08.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
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); Bannor 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 Bannor and Scherer (2013). As gas-fired power plants are seen as flexible and low-carbon sources of electricity, which are important building block's 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. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:423 / 434
页数:12
相关论文
共 45 条
[1]   On the coherence of expected shortfall [J].
Acerbi, C ;
Tasche, D .
JOURNAL OF BANKING & FINANCE, 2002, 26 (07) :1487-1503
[2]   An optimal trading problem in intraday electricity markets [J].
Aid, Rene ;
Gruet, Pierre ;
Pham, Huyen .
MATHEMATICS AND FINANCIAL ECONOMICS, 2016, 10 (01) :49-85
[3]  
[Anonymous], 1995, Applied Mathematical Finance, DOI DOI 10.1080/13504869500000005
[4]  
[Anonymous], 2005, Appl Math Finance, DOI DOI 10.1080/13504860500117503
[5]  
[Anonymous], 1999, Mathematical Statistics
[6]   Coherent measures of risk [J].
Artzner, P ;
Delbaen, F ;
Eber, JM ;
Heath, D .
MATHEMATICAL FINANCE, 1999, 9 (03) :203-228
[7]   Capturing parameter risk with convex risk measures [J].
Bannör K.F. ;
Scherer M. .
European Actuarial Journal, 2013, 3 (1) :97-132
[8]   Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics [J].
Barndorff-Nielsen, OE ;
Shephard, N .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2001, 63 :167-207
[9]  
Benth F., 2007, Appl. Math. Finance, V14, P153
[10]   Stochastic modeling of financial electricity contracts [J].
Benth, Fred Espen ;
Koekebakker, Steen .
ENERGY ECONOMICS, 2008, 30 (03) :1116-1157