An efficient pricing algorithm for swing options based on Fourier cosine expansions
Author(s) -
Baocheng Zhang,
Cornelis W. Oosterlee
Publication year - 2013
Publication title -
the journal of computational finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 14
eISSN - 1755-2850
pISSN - 1460-1559
DOI - 10.21314/jcf.2013.268
Subject(s) - swing , computer science , fourier transform , sine and cosine transforms , process (computing) , trigonometric functions , constraint (computer aided design) , algorithm , fast fourier transform , valuation of options , computational finance , mathematical optimization , fourier analysis , finance , mathematics , economics , short time fourier transform , mechanical engineering , mathematical analysis , engineering , geometry , operating system
Swing options give contract holders the right to modify amounts of future delivery of certain commodities, such as electricity or gas. In this paper, we assume that these options can be exercised at any time before the end of the contract, and more than once. However, a recovery time between any two consecutive exercise dates is incorporated as a constraint to avoid continuous exercise. We introduce an efficient way of pricing these swing options, based on the Fourier cosine expansion method, which is especially suitable when the underlying is modeled by a Levy process.
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