Forecasting negative yield‐curve distributions
Jae‐yun Jun,
Victor Lebreton and
Yves Rakotondratsimba
Additional contact information
Jae‐yun Jun: Ecole Centrale d'Electronique
Victor Lebreton: Ecole Centrale d'Electronique
Yves Rakotondratsimba: Ecole Centrale d'Electronique
Post-Print from HAL
Abstract:
Negative interest rates have been present in various marketplaces since mid‐2014, following the negative interest rate policy (NIRP) adopted by the European Central Bank to raise economic growth. The well‐known historical approach (HA) appears to be a good resource. By tweaking the HA, we derive a very tractable data‐driven tool that allows practitioners to generate yield‐curve distributions at future discrete time horizons. We thereby provide a robust and easy‐to‐understand forecasting model, suitable for the NIRP context, allowing an appreciation of its predictive power. Besides the methodological development herein, various numerical illustrations are presented to shed light on the benefits (and limitations) of this forecasting approach.
Keywords: Interest rate; Forecasting Model; Yield curve (search for similar items in EconPapers)
Date: 2020-09-16
References: Add references at CitEc
Citations:
Published in Journal of Forecasting, 2020, 40 (3), pp.367-386. ⟨10.1002/for.2727⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05240516
DOI: 10.1002/for.2727
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().