scholarly journals A Markov switching regime model of the South African business cycle

Author(s):  
E Moolman
1986 ◽  
Vol 17 (3) ◽  
pp. 143-148
Author(s):  
E. Smit

In this article a leading indicator of the South African business cycle is proposed which combines the traditional quantitative data inputs with qualitative data. The integration is achieved via the Kalman filter technique. It is shown that this model surpasses the traditional approaches in accuracy.


2003 ◽  
Vol 6 (2) ◽  
pp. 289-303 ◽  
Author(s):  
Elna Moolman

Despite the existence of macroeconomic models and complex business cycle indicators, it would be beneficial to policymakers and market participants if they could look at one well-chosen indicator in predicting business cycle turning points. If one indicator accurately predicts business cycle turning points, it provides an easy way to confirm the predictions of macroeconomic models, or it can eliminate the need for a macroeconomic model if the interest is in the turning points and not in the levels of the business cycle. The objective of this paper is to investigate whether turning points of the South African business cycle can be predicted with only one economic indicator.


2004 ◽  
Vol 21 (4) ◽  
pp. 685-701 ◽  
Author(s):  
S.A. du Plessis

2001 ◽  
Vol 4 (1) ◽  
pp. 204-215 ◽  
Author(s):  
Ashley G. Frank

This study is concerned with the South African business cycle and makes use of the hazard function to determine the importance of duration for its analysis. This function gives the conditional probability that a state sustained through a previous period will end in the current one. The study estimates this probability for both economic downturn and expansion. At the 95 per cent confidence level, there is no statistical underpinning found for conventional ideas about the likelihood of an upturn or downturn in the economy over time. The duration of a business cycle does not help predict the turning point


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