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Forecasting Monetary Policy Rules in South Africa

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  • R Naraidoo
  • I Paya

Abstract

This paper is the .rst one to: (i) provide in-sample estimates of linear and nonlinear Taylor rules augmented with an indicator of .nancial stability for the case of South Africa, (ii) analyse the ability of linear and nonlinear monetary policy rule speci.cations as well as nonparametric and semiparametric models in forecasting the nominal interest rate setting that describes the South African Reserve Bank (SARB) policy decisions. Our results indicate, .rst, that asset prices are taken into account when setting interest rates; second, the existence of nonlinearities in the monetary policy rule; and third, forecasts constructed from combinations of all models perform particularly well and that there are gains from semiparametric models in forecasting the interest rates as the forecasting horizon lengthens.

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Bibliographic Info

Paper provided by Lancaster University Management School, Economics Department in its series Working Papers with number 611194.

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Date of creation: 2010
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Handle: RePEc:lan:wpaper:611194

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Cited by:
  1. Kasai, Ndahiriwe & Naraidoo, Ruthira, 2011. "Evaluating the forecasting performance of linear and nonlinear monetary policy rules for South Africa," MPRA Paper 40699, University Library of Munich, Germany.
  2. Ruthira Naraidoo & Ivan Paya, 2010. "Forecasting Monetary Policy Rules in South Africa," Working Papers 189, Economic Research Southern Africa.
  3. Baaziz, Yosra & Labidi, Moez & Lahiani, Amine, 2013. "Does the South African Reserve Bank follow a nonlinear interest rate reaction function?," Economic Modelling, Elsevier, vol. 35(C), pages 272-282.
  4. Ellyne, Mark & Veller, Carl, 2011. "What is the SARB's inflation targeting policy, and is it appropriate?," MPRA Paper 42134, University Library of Munich, Germany.

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