The mean field market model revisited

In this paper, we present an alternative perspective on the mean-field LIBOR market model introduced by Desmettre et al. (Int J Theor Appl Finance, 2022. https://doi.org/10.1142/S0219024922500054). Our novel approach embeds the mean-field model in a classical setup, but retains the crucial feature of controlling the term rate's variances over large time horizons. This maintains the market model's practicability, since calibrations and simulations can be carried out efficiently without nested simulations. In addition, we show that our framework can be directly applied to model in-arrear term rates derived from SOFR, ESTR or other nearly risk-free overnight short-term rates-a crucial feature since many IBOR rates are gradually being replaced. These results are complemented by a calibration study and some theoretical arguments which allow to estimate the probability of unrealistically high rates in the presented market models.

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Publication Details

Journal
European Actuarial Journal
Published
2025-02-07
DOI
https://doi.org/10.1007/s13385-025-00408-9
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The mean field market model revisited

Stefan Thonhauser, Manuel Hasenbichler, W. Müller
European Actuarial Journal
Stochastic processes and financial applications
article

The mean field market model revisited

Stefan Thonhauser, Manuel Hasenbichler, W. Müller
article en

Abstract

In this paper, we present an alternative perspective on the mean-field LIBOR market model introduced by Desmettre et al. (Int J Theor Appl Finance, 2022. https://doi.org/10.1142/S0219024922500054). Our novel approach embeds the mean-field model in a classical setup, but retains the crucial feature of controlling the term rate's variances over large time horizons. This maintains the market model's practicability, since calibrations and simulations can be carried out efficiently without nested simulations. In addition, we show that our framework can be directly applied to model in-arrear term rates derived from SOFR, ESTR or other nearly risk-free overnight short-term rates-a crucial feature since many IBOR rates are gradually being replaced. These results are complemented by a calibration study and some theoretical arguments which allow to estimate the probability of unrealistically high rates in the presented market models.

European Actuarial JournalVol. 15(2)
Graz University of Technology (AT)
TU Graz, Internationale Beziehungen und Mobilitätsprogramme, Austrian Science Fund
Openalex Percentile: Top 97%
Stochastic processes and financial applications
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