A TWO-REGIME, STOCHASTIC-VOLATILITY EXTENSION OF THE LIBOR MARKET MODEL
Riccardo Rebonato and
Dherminder Kainth
Additional contact information
Riccardo Rebonato: Royal Bank of Scotland Quantitative Research Centre (QUARC), 135 Bishopsgate, EC2M 3UR, London, UK;
Dherminder Kainth: Royal Bank of Scotland Quantitative Research Centre (QUARC), 135 Bishopsgate, EC2M 3UR, London, UK
International Journal of Theoretical and Applied Finance (IJTAF), 2004, vol. 07, issue 05, 555-575
Abstract:
We propose a two-regime stochastic volatility extension of the LIBOR market model that preserves the positive features of the recently introduced (Joshi and Rebonato 2001) stochastic-volatility LIBOR market model (ease of calibration to caplets and swaptions, efficient pricing of complex derivatives, etc.) and overcomes most of its shortcomings. We show the improvements by analyzing empirically and theoretically the real and the model-produced change sin swaption implied volatility.
Keywords: LIBOR market model; stochastic volatility; regime shift; Markov processes; fitting to caplet prices (search for similar items in EconPapers)
Date: 2004
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/S0219024904002591
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:07:y:2004:i:05:n:s0219024904002591
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219024904002591
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 ().