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On the Deterministic-Shift Extended CIR Model in a Negative Interest Rate Framework
UnipolSai Assicurazioni, Bologna, Italy.ORCID iD: 0000-0003-1564-440X
Dipartimento di Matematica, Università di Bologna, Bologna, Italy.ORCID iD: 0000-0003-2881-0905
2022 (English)In: International Journal of Financial Studies, E-ISSN 2227-7072, Vol. 10, no 2, p. 38-38Article in journal (Refereed) Published
Abstract [en]

In this paper, we propose a new exogenous model to address the problem of negative interest rates that preserves the analytical tractability of the original Cox–Ingersoll–Ross (CIR) model with a perfect fit to the observed term-structure. We use the difference between two independent CIR processes and apply the deterministic-shift extension technique. To allow for a fast calibration to the market swaption surface, we apply the Gram–Charlier expansion to calculate the swaption prices in our model. We run several numerical tests to demonstrate the strengths of this model by using Monte-Carlo techniques. In particular, the model produces close Bermudan swaption prices compared to Bloomberg’s Hull–White one-factor model. Moreover, it finds constant maturity swap (CMS) rates very close to Bloomberg’s CMS rates.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 10, no 2, p. 38-38
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-207732DOI: 10.3390/ijfs10020038ISI: 000817456500001Scopus ID: 2-s2.0-85130866394OAI: oai:DiVA.org:umu-207732DiVA, id: diva2:1753875
Funder
EU, Horizon 2020, 813261Available from: 2023-05-01 Created: 2023-05-01 Last updated: 2024-06-28Bibliographically approved

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Kamm, Kevin

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CiteExportLink to record
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Cite
Citation style
  • apa
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