HEDGING SWING OPTIONS
Jesús F. Rodríguez ()
Additional contact information
Jesús F. Rodríguez: Mathematics Department, Rutgers University, Hill Center — Busch Campus, Piscataway, NJ 08854-8019, USA
International Journal of Theoretical and Applied Finance (IJTAF), 2011, vol. 14, issue 02, 295-312
Abstract:
We study models for electricity pricing and derivatives in the context of a deregulated market setting. In particular we value swing options, since these are the electricity derivatives that attract the most attention from market participants. These are American style options in that they allow for multiple exercises subject to a set of constraints on the consumption process. Through the use of a penalty function, we generalize the problem by allowing for the consumption restrictions to be broken. We characterize the price function as a stochastic optimal control problem, and show that the option is exercised in a bang-bang fashion. The value of the swing option is the solution to a backward stochastic differential equation, and we show how European calls, along with forward contracts, can be used to hedge them.
Keywords: Electricity derivatives; swing options; energy markets; stochastic optimal control (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S021902491100636X
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijtafx:v:14:y:2011:i:02:n:s021902491100636x
Ordering information: This journal article can be ordered from
DOI: 10.1142/S021902491100636X
Access Statistics for this article
International Journal of Theoretical and Applied Finance (IJTAF) is currently edited by L P Hughston
More articles in International Journal of Theoretical and Applied Finance (IJTAF) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().