EconPapers    
Economics at your fingertips  
 

Arbitrage-free discretization of lognormal forward Libor and swap rate models

Xiaoliang Zhao () and Paul Glasserman ()
Additional contact information
Xiaoliang Zhao: Department of Statistics, Columbia University, New York, NY 10027, USA Manuscript
Paul Glasserman: Graduate School of Business, Columbia University, Uris Hall, 3022 Broadway, Room 403, New York, NY 10027-6902, USA

Finance and Stochastics, 2000, vol. 4, issue 1, 35-68

Abstract: An important recent development in the pricing of interest rate derivatives is the emergence of models that incorporate lognormal volatilities for forward Libor or forward swap rates while keeping interest rates stable. These market models\/ have three attractive features: they preclude arbitrage among bonds, they keep rates positive, and, most distinctively, they price caps or swaptions according to Black's formula, thus allowing automatic calibration to market data. But these features of continuous-time formulations are easily lost when the models are discretized for simulation. We introduce methods for discretizing these models giving particular attention to precluding arbitrage among bonds and to keeping interest rates positive even after discretization. These methods transform the Libor or swap rates to positive martingales, discretize the martingales, and then recover the Libor and swap rates from these discretized variables, rather than discretizing the rates themselves. Choosing the martingales proportional to differences of ratios of bond prices to numeraire prices turns out to be particularly convenient and effective. We can choose the discretization to price one caplet of arbitrary maturity without discretization error. We numerically investigate the accuracy of other caplet and swaption prices as a gauge of how closely a model calibrated to implied volatilities reproduces market prices. Numerical results indicate that several of the methods proposed here often outperform more standard discretizations.

Keywords: Interest rate models; Monte Carlo simulation; market models (search for similar items in EconPapers)
JEL-codes: E43 G14 (search for similar items in EconPapers)
Date: 1999-10-29
Note: received: March 1998; final version received: January 1999
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.de/link/service/journals/00780/papers/0004001/00040035.pdf (application/pdf)
Access to the full text of the articles in this series is restricted

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:spr:finsto:v:4:y:2000:i:1:p:35-68

Ordering information: This journal article can be ordered from
http://www.springer. ... ance/journal/780/PS2

Access Statistics for this article

Finance and Stochastics is currently edited by M. Schweizer

More articles in Finance and Stochastics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:finsto:v:4:y:2000:i:1:p:35-68