PARAMETER ESTIMATION FOR A REGIME-SWITCHING MEAN-REVERTING MODEL WITH JUMPS
Ping Wu () and
Robert J. Elliott ()
Additional contact information
Ping Wu: RBC Capital Markets, Royal Bank of Canada, Toronto, Ontario, Canada M5J2W7, Canada
Robert J. Elliott: Faculty of Management, University of Calgary, Alberta, Canada T6G2E1, Canada
International Journal of Theoretical and Applied Finance (IJTAF), 2005, vol. 08, issue 06, 791-806
Abstract:
In this paper we propose a type of mean reverting model with jumps, where the mean reverting level changes according to a continuous time, finite state Markov chain. This model could be applied to the interest rate and energy markets. We apply filtering techniques and obtain finite dimensional filters for the unobservable state of the Markov chain based on observations of the mean reverting diffusion. Various auxiliary filters are developed that allow us to estimate the parameters of the Markov chain by the EM algorithm. A simulation study is done for a concrete example.
Keywords: Reference probability; martingales; filtering equations; jump process (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219024905003268
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:08:y:2005:i:06:n:s0219024905003268
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219024905003268
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 ().