Abstract
Pricing option contracts on electricity remains methodologically challenging, with a lack of clearly defined and robust methods. In particular, little is known about pricing options in Brazilian energy markets, despite their economic significance. Using weekly price data (R$/MWh) on four electrical subsystems from the Chamber for Commercialization of Electrical Energy, we estimate models to price Brazilian electricity energy options. This paper has three objectives: i) to identify the occurrence of change-points (regime-switching) in time series of Brazilian energy spot prices; ii) to determine the best Stochastic Differential Equation (SDE) with which to model Brazilian energy spot prices and iii) to price five types of options used to manage electricity price risk in Brazil. We show that the change-point occurred between 2002 and 2018. During this period, the long-run marginal cost of production was the most affected. Furthermore, we find that the Ornstein-Uhlenbeck/Vasicek stochastic process and resulting SDE best explains electricity prices in Brazil, even with the occurrence of structural changes. Finally, our results indicate that Asian-style options are the least costly option contracts to manage electricity price risk in Brazil.
Original language | English |
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Article number | 206 |
Pages (from-to) | 594-601 |
Number of pages | 8 |
Journal | Energy Reports |
Volume | 5 |
Early online date | 17 May 2019 |
DOIs | |
Publication status | E-pub ahead of print - 17 May 2019 |
Bibliographical note
It is the first study of its kind for energy commodities in Brazil. My contribution is in research design, estimations and the writing up of the analysis.About the Journal: Energy Reports’ is a considerably high impact journal. The impact factor of this specialized journal is 6.87 and hence it fits into the category of a ‘4 ABS’ journal publication (e.g. JCF (4 ABS) impact factor is 2.349, JFI (4 ABS) is 2.60, JMCB (4 ABS) is 2.18)
Keywords
- Energy options
- Stochastic processes
- electricity sector
ASJC Scopus subject areas
- Finance
- Economics, Econometrics and Finance (miscellaneous)
- Energy (miscellaneous)