2002SSRN Electronic JournalOpen access

Correlation Analysis in the LIBOR and Swap Market Model

Etienne de Malherbe

Open full text 0 citations

Abstract

In the general framework that is offered by the market model, each LIBOR interest rate is a lognormal martingale under its own probability measure. The advantage is that the approach is consistent with the way cap, floor and swaption volatilities are quoted. The joint distribution of several LIBOR or swap rates under a common probability measure is somehow more complicated because it requires the specification of a drift term structure and the specification of a correlation term structure. In this paper, the correlation between the LIBORs is represented by a function of the LIBOR maturities. The form of this function is inspired by the stochastic string theory that was recently introduced in finance for the modelling of yield curves. The function is fitted to the volatilities of the LIBOR and swap rates so that it is consistent with market observations and does not rely on statistical analysis of any historical data.

About this research paper

What this paper is about

In the general framework that is offered by the market model, each LIBOR interest rate is a lognormal martingale under its own probability measure. The advantage is that the approach is consistent with the way cap, floor and swaption volatilities are quoted. The joint distribution of several LIBOR or swap rates under a common probability measure is somehow more complicated because it requires the specification of a drift term structure and the specification of a correlation term structure. In this paper, the correlation between the LIBORs is represented by a function of the LIBOR maturities. The form of this function is inspired by the stochastic string theory that was recently introduced in finance for the modelling of yield curves. The function is fitted to the volatilities of the LIBOR and swap rates so that it is consistent with market observations and does not rely on statistical analysis of any historical data.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the general framework that is offered by the market model, each LIBOR interest rate is a lognormal martingale under its own probability measure. The advantage is that the approach is consistent with the way cap, floor and swaption volatilities are quoted. The joint distribution of several LIBOR or swap rates under a common probability measure is somehow more complicated because it requires the specification of a drift term structure and the specification of a correlation term structure. In this paper, the correlation between the LIBORs is represented by a function of the LIBOR maturities. The form of this function is inspired by the stochastic string theory that was recently introduced in finance for the modelling of yield curves. The function is fitted to the volatilities of the LIBOR and swap rates so that it is consistent with market observations and does not rely on statistical analysis of any historical data.

Key concepts: Libor, Interest rate swap, Yield curve, LIBOR market model, Econometrics, Log-normal distribution, Martingale (probability theory), Interest rate

Related papers

Back to paper searchBrowse research topicsOriginal source
Correlation Analysis in the LIBOR and Swap Market Model — Research Paper | ScholarLens