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On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data

Author

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  • Christian Pierdzioch

    (Helmut-Schmidt-University, Department of Economics, Holstenhofweg 85,P.O.B. 700822, 22008 Hamburg, Germany)

  • Monique B. Reid

    (Stellenbosch University, Department of Economics, Private Bag X1, Matieland, South Africa, 7602.)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

We study the directional accuracy of South African survey data of short-term and longer-term inflation forecasts. Upon applying techniques developed for the study of relative operating characteristic (ROC) curves, we find evidence that forecasts contain information with respect to the subsequent direction of change of the inflation rate.

Suggested Citation

  • Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data," Working Papers 201463, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201463
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    References listed on IDEAS

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    Cited by:

    1. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    2. Mr. Ken Miyajima & James Yetman, 2018. "Inflation Expectations Anchoring Across Different Types of Agents: the Case of South Africa," IMF Working Papers 2018/177, International Monetary Fund.
    3. Liu, Weiling & Moench, Emanuel, 2016. "What predicts US recessions?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1138-1150.
    4. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    5. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Forecasting the South African inflation rate: On asymmetric loss and forecast rationality," Economic Systems, Elsevier, vol. 40(1), pages 82-92.
    6. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    7. Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.

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    More about this item

    Keywords

    Inflation rate; Forecasting; Directional Accuracy;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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