New and robust drift approximations for the LIBOR market model
Mark Joshi and
Alan Stacey
Quantitative Finance, 2008, vol. 8, issue 4, 427-434
Abstract:
We present four new methods for approximating the drift in the LIBOR market model when performing very long steps. These are compared with a variety of existing methods, including PPR, Glasserman-Zhao and predictor-corrector. We find that two of them, which use correlation adjustments to better approximate the drift, are more effective than existing methods.
Keywords: Financial mathematics; Financial modelling; Financial simulation; Financial engineering; Derivatives pricing; Derivative pricing models (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/14697680701458000 (text/html)
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:taf:quantf:v:8:y:2008:i:4:p:427-434
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20
DOI: 10.1080/14697680701458000
Access Statistics for this article
Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral
More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().