Forecasting output growth using a DSGE-based decomposition of the South African yield curve

dc.contributor.authorGupta, Rangan
dc.contributor.authorHollander, Hylton
dc.contributor.authorSteinbach, Rudi
dc.date.accessioned2019-09-16T08:30:03Z
dc.date.issued2020-01
dc.description.abstractEvidence in favour of the ability of the term spread to forecast economic growth of the South African economy is non-existent. This could be due to the term spread aggregating information contained in the expected spread and the term premium. To decompose the term spread into its subcomponents, we develop an estimable small open economy new Keynesian dynamic stochastic general equilibrium (SOENKDSGE) model of the inflation targeting South African economy. The SOENKDSGE model is estimated with Bayesian methods over the quarterly period of 2000:01–2014:04. We then use a linear predictive regression framework to analyse the out-of-sample forecasting ability of the aggregate term spread, as well as the expected spread and term premium. Our forecasting results fail to detect forecasting gains from the aggregate term spread and also the term premium, but the expected spread is found to contain important information in forecasting output growth over short- to medium-run horizons, over the period of 2004:01–2014:04, using an in-sample period of 2000:01–2003:04. The results therefore highlight the importance of the forward-looking component of the term spread—the expected spread—in forecasting the output growth of South Africa.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.embargo2019-11-30
dc.description.librarianhj2019en_ZA
dc.description.urihttp://link.springer.com/journal/181en_ZA
dc.identifier.citationGupta, R., Hollander, H. & Steinbach, R. Forecasting output growth using a DSGE-based decomposition of the South African yield curve. Empirical Economics 58, 351–378 (2020) doi:10.1007/s00181-018-1607-4.en_ZA
dc.identifier.issn0377-7332 (print)
dc.identifier.issn1435-8921 (online)
dc.identifier.other10.1007/s00181-018-1607-4
dc.identifier.urihttp://hdl.handle.net/2263/71352
dc.language.isoenen_ZA
dc.publisherSpringeren_ZA
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2018. The original publication is available at http://link.springer.comjournal/181.en_ZA
dc.subjectStructural decompositionen_ZA
dc.subjectTerm spreaden_ZA
dc.subjectDynamic stochastic general equilibrium (DSGE)en_ZA
dc.subjectSmall open economy new Keynesian dynamic stochastic general equilibrium (SOENKDSGE)en_ZA
dc.subjectPredictive regression frameworken_ZA
dc.subjectForecasting output growthen_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.titleForecasting output growth using a DSGE-based decomposition of the South African yield curveen_ZA
dc.typePostprint Articleen_ZA

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