Back to search

Article

Towards Generative Interest-Rate Modelling: Neural Perturbations Within the Libor Market Model

2025-12-04

Abstract excerpt

This study proposes a neural-augmented Libor Market Model (LMM) for swaption-surface calibration that enhances expressive power while maintaining the interpretability, arbitrage-free structure, and numerical stability of the classical framework. Classical LMM parametrizations, based on exponential-decay volatility functions and static correlation kernels, are known to perform poorly in sparsely quoted and long-ten...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e528846a-476b-5bde-958f-e604420b80f6
DOI
10.20944/preprints202512.0329.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 10 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Towards Generative Interest-Rate Modelling: Neural Perturbations Within the Libor Market ModelDOI 10.20944/preprints202512.0329.v1
Select a neighboring publication to make it the new centre.