Published November 1, 2018
| Version v1
Journal article
Research on pricing of electricity swing option
Description
Electricity non-storability leads to relatively high fluctuation range of at-sight electricity price. It is necessary to apply electricity financial derivative tool for risk management and control. Electricity swing forward option pricing widely applied in electricity financial market is mainly studied in the paper. Swing option pricing is converted into linear complementary problem for solution through finite difference, discrete transaction time and price. Meanwhile, optimal exercise behavior of swing option purchaser is further combined for establishing an optimization model. Finally, the former model and algorithm are utilized for simulation pricing of electricity swing option through actual electricity futures. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/439/5/052016Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 439
- Journal Issue
- 5
- Journal Page Range
- [8 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Conference on Advanced Electronic Materials, Computers and Materials Engineering
- Acronym
- AEMCME 2018
- Dates
- 14-16 Sep 2018
- Place
- Singapore (Singapore)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52100056
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; COMPUTERIZED SIMULATION; ELECTRICITY; OPTIMIZATION; PRICES
- Descriptors DEC
- MATHEMATICAL LOGIC; SIMULATION