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Forecasting the Probability of Recessions in South Africa: the Role of Decomposed Term Spread and Economic Policy Uncertainty

机译:预测南非经济衰退的概率:分解术语传播与经济政策不确定性的作用

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This paper decomposes the term spread into the expectation and the term premium components using a fractional integration approach and subsequently uses same with the economic policy uncertainty index to forecast the probability of recession in South Africa. We use different specifications of the probit model and quarterly data from 1990:1 to 2012:1. Our out-of-sample results show that the model that incorporates the expectation component and economic policy uncertainty provides the best forecast of recession. All three recession periods in our sample were accurately dictated by the prediction models and the best forecast occurred at the four quarters ahead horizon. A robustness check with a longer sample from 1946q1 to 2017q4 but excluding the factors and economic policy uncertainty due to data limitation provided justification for decomposing the term spread as the model with the expected spread turned out to be the best. We draw the implications of these findings. (c) 2018 John Wiley & Sons, Ltd.
机译:本文分解了使用分数一体化方法的期望和术语优质部件的术语,随后与经济政策不确定性指数相同,以预测南非经济衰退的可能性。我们使用1990年的概率模型和季度数据规格及季度数据:1至2012:1。我们的样本结果表明,该模型包含期望部件和经济政策不确定性提供了衰退的最佳预测。我们样本中的所有三个经济衰退期由预测模型准确地决定,并且在前面的四个季度发生了最佳预测。稳健性检查从1946Q1到2017Q4的更长的样本,但不包括数据限制因数据限制的因素和经济政策不确定性提供了分解的理由作为与预期传播的模型分解的术语,结果是最好的。我们借鉴了这些发现的影响。 (c)2018 John Wiley&Sons,Ltd。

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