Analysing Quantiles in Models of Forward Term Rates

Author:

McWalter Thomas A.12ORCID,Schlögl Erik123ORCID,van Appel Jacques2ORCID

Affiliation:

1. The African Institute of Financial Markets and Risk Management (AIFMRM), University of Cape Town, Cape Town 7701, South Africa

2. Faculty of Science, Department of Statistics, University of Johannesburg, Johannesburg 2006, South Africa

3. School of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia

Abstract

The class of forward-LIBOR market models can, under certain volatility structures, produce unrealistically high long-dated forward rates, particularly for maturities and tenors beyond the liquid market calibration instruments. This paper presents a diagnostic tool for analysing the quantiles of distributions for forward term rates in a displaced lognormal forward-LIBOR model (DLFM). In particular, we provide a quantile approximation that can be used to assess whether the modelled term rates remain within realistic bounds with a high probability. Applying this diagnostic tool (verified using Quasi-Monte Carlo (QMC) simulations), we show that realised forward term rates for long time horizons may be kept within realistic limits by appropriately damping the tail of the DLFM volatility function.

Publisher

MDPI AG

Subject

Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting

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