Published November 1, 2018 | Version v1
Journal article

Research on pricing of electricity swing option

Creators

  • 1. Management School of Shanghai University, Shanghai 200444 (China)

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/439/5/052016

Additional details

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