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Erschienen in: Mathematics and Financial Economics 3/2021

09.01.2021

Multiple yield curve modelling with CBI processes

verfasst von: Claudio Fontana, Alessandro Gnoatto, Guillaume Szulda

Erschienen in: Mathematics and Financial Economics | Ausgabe 3/2021

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Abstract

We develop a modelling framework for multiple yield curves driven by continuous-state branching processes with immigration (CBI processes). Exploiting the self-exciting behavior of CBI jump processes, this approach can reproduce the relevant empirical features of spreads between different interbank rates. In particular, we introduce multi-curve models driven by a flow of tempered alpha-stable CBI processes. Such models are especially parsimonious and tractable, and can generate contagion effects among different spreads. We provide a complete analytical framework, including a detailed study of discounted exponential moments of CBI processes. The proposed approach allows for explicit valuation formulae for all linear interest rate derivatives and semi-closed formulae for non-linear derivatives via Fourier techniques and quantization. We show that a simple specification of the model can be successfully calibrated to market data.

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Fußnoten
1
The most relevant Ibor rates are represented by the Libor rates in the London interbank market and the Euribor rates in the Eurozone.
 
2
The Java language has been used for the whole calibration procedure. The source code is available on the website https://​github.​com/​AlessandroGnoatt​o/​CBIMultiCurve.
 
3
This truncation of the jump measure \(\pi \) serves the achieve integrability, at the expense of eliminating very small jumps. Along the lines of [1], the small jump component can be approximated by introducing a suitably rescaled Brownian motion \(B'\), independent of the Brownian motion B appearing in (B.1).
 
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Metadaten
Titel
Multiple yield curve modelling with CBI processes
verfasst von
Claudio Fontana
Alessandro Gnoatto
Guillaume Szulda
Publikationsdatum
09.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Mathematics and Financial Economics / Ausgabe 3/2021
Print ISSN: 1862-9679
Elektronische ISSN: 1862-9660
DOI
https://doi.org/10.1007/s11579-020-00289-4

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