On the Representation of General Interest Rate Models as Square Integrable Wiener Functionals
Lane P. Hughston, Francesco Mina

TL;DR
This paper demonstrates how general interest rate models can be represented as square integrable Wiener functionals, enabling the use of Wiener chaos expansions for model calibration and ensuring arbitrage-free, positive interest rate dynamics over infinite horizons.
Contribution
It establishes a framework linking square-integrable Wiener functionals to interest rate models, proving the finiteness of the money market account and the martingale property of the product with the pricing kernel.
Findings
The money market account process is finite at all finite times.
The product of the money market account and the pricing kernel is a local martingale, and a martingale under certain conditions.
The approach allows for model calibration using Wiener chaos expansion terms.
Abstract
In the setting proposed by Hughston & Rafailidis (2005) we consider general interest rate models in the case of a Brownian market information filtration . Let be a square-integrable -measurable random variable, and assume the non-degeneracy condition that for all the random variable is not -measurable. Let denote the integrand appearing in the representation of as a stochastic integral, write for the conditional variance of at time , and set . Then is a potential, and as such can act as a model for a pricing kernel (or state price density), where is the associated interest rate. Under the stated assumptions, we prove the following: (a) that the money market account process defined by is finite almost…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
