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Tree-Structured Multiple Regimes in Interest Rates

Bibliographic Data

ID19419656
AuthorsFrancesco Audrino (0000-0002-2038-9362, Università della Svizzera italiana, corresponding author)
Year2006
Volume24
Issue3
Pages338-353
Publication date2006-07-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1198/073500106000000053
OpenAlexW2016156724
LanguageEN
Citations received1
References cited28

This article develops a generalized tree-structured (GTS) model of the short-term interest rate that accommodates regime-dependent mean reversion and regime-dependent volatility clustering and level effects in the conditional variance. The model is constructed using the idea of multivariate tree-structured thresholds and nests the popular generalized autoregressive conditional heteroscedasticity and square root processes as simple special cases. It allows us to estimate the optimal number of regimes endogenously from the data and to exploit possible additional information in the term structure and in other macroeconomic variables. We provide empirical evidence of the strong potential of the GTS model in forecasting conditional first and second moments, also in comparison with alternative models of the short rate

Autoregressive conditional heteroskedasticity · Autoregressive model · Conditional variance · Econometrics · Economics · Heteroscedasticity · Interest rate · Mean reversion · Statistics · Volatility clustering · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Citations per year0.07
Citation span2011 - 2011 (1)
Highly citedNo

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