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Assessing the 2013 and 2017 Business Cycle Turning Points Signalled by the SARB’s Composite Leading Business Cycle Indicator

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Business Cycles and Structural Change in South Africa

Abstract

In the 10 years following the global financial crisis, the South African economy was characterised by various structural supply-side constraints, heightened uncertainty and fairly volatile output growth. This chapter employs the indicator approach to business cycle analysis, in particular, the SARB’s composite leading business cycle indicator, to establish whether the current downward phase in the South African business cycle could reasonably have been predicted, and also whether the recent strong increase in the composite leading business cycle indicator provided a clear signal that the downward phase might have ended. The results show that the leading indicator and its subcomponents predicted a broad slowdown in the South African economy from 2012. Also, the recent upward trend in the leading indicator did initially signal the end of the current downward phase in the business cycle in an unambiguous manner. However, the strength of the lower turning point signal was weakened by idiosyncratic exogenous factors.

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Notes

  1. 1.

    The chronology of turning points determined by the South African Reserve Bank refers to growth cycles. See the earlier chapter by Boshoff and Du Plessis (2020) for an overview of cyclical concepts and subsequent discussion in the next section.

  2. 2.

    The chronology of business cycle turning points regularly published on the last page of the SARB’s Quarterly Bulletin represents growth cycle turning points, i.e. trend-adjusted business cycle turning points.

  3. 3.

    For 2015, the consensus forecast for April was used instead of January, since that was the first month in that year for which annual average forecasts for the current year (2015) and the subsequent 2 years were available.

  4. 4.

    See also Boshoff (2005), showing that no individual financial variable can act as a consistent leading indicator for the South African business cycle.

  5. 5.

    The 6MSAR in the leading indicator dipped below zero in July 2011 already, and remained below zero in all but 2 months up to September 2012.

References

  • Achutan, L., & Banerji, A. (2004). Beating the business cycle (1st ed.). New York: Currency Doubleday.

    Google Scholar 

  • Ahir, H., & Loungani, P. (2014). There will be growth in the spring: How well do economists predict turning points? [online]. Retrieved from http://www.voxeu.org/article/predicting-economic-turning-points

  • Banerji, A. (1999a, March 17–20). The lead profile and other non-parametric tools to evaluate survey series as leading indicators. Paper Presented at the 24th CIRET Conference, Wellington.

    Google Scholar 

  • Banerji, A. (1999b, October). The three Ps: Simple tools for monitoring economic cycles. In Business economics. The Statistics Corner [online]. Retrieved from http://www.freepatentsonline.com/article/Business-Economics/56973863.html

  • Banerji, A., & Hiris, L. (2001). A framework for measuring international business cycles. International Journal of Forecasting, 17, 333–381.

    Article  Google Scholar 

  • Boshoff, W. H. (2005). The properties of cycles in South African financial variables and their relation to the business cycle. Working Paper 2/2005. Department of Economics, University of Stellenbosch.

    Google Scholar 

  • Boshoff, W. H., & du Plessis, S. A. (2020). What do we know about the South African business cycle? In W. Boshoff (Ed.), Business cycles and structural change in South Africa. Heidelberg: Springer.

    Google Scholar 

  • Bry, G., & Boschan, C. (1971). Cyclical analysis of time series: Selected procedures and computer programs. Technical Paper 20. New York: NBER.

    Google Scholar 

  • Burns, A. F., & Mitchell, W. C. (1946). Measuring business cycles (1st ed.). New York: NBER.

    Google Scholar 

  • Du Plessis, S. A. (2006). Business cycles in emerging market economies: A new view of the stylised facts. Working Paper 2/2006. Department of Economics, University of Stellenbosch.

    Google Scholar 

  • Fabricant, S. (1972). The recession of 1969–70. In V. Zarnowitz (Ed.), The business cycle today (pp. 89–136). New York: NBER [online]. Retrieved from http://www.nber.org/chapters/c4394.pdf

  • Harding, D., & Pagan, A. (2002). Dissecting the cycle: A methodological investigation. Journal of Monetary Economics, 49, 365–381.

    Article  Google Scholar 

  • Hollander, H., & van Lill, D. (2020). On the estimation and application of structural decompositions of the South African business cycle. In W. Boshoff (Ed.), Business cycles and structural change in South Africa. Heidelberg: Springer.

    Google Scholar 

  • Laubscher, P. (2020). A history of South Africa’s modern business cycle. In W. Boshoff (Ed.), Business cycles and structural change in South Africa. Heidelberg: Springer.

    Google Scholar 

  • Loungani, P. (2000, April). How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth. IMF Working Paper No 00/77. IMF [online]. Retrieved from http://www.imf.org/en/Publications/WP/Issues/2016/12/30/How-Accurate-Are-Private-Sector-Forecasts-Cross-Country-Evidence-From-Consensus-Forecasts-of-3543

  • Moore, G. H. (1950). Statistical indicators of cyclical revivals and recessions. NBER Occasional Paper No 31. New York: NBER.

    Google Scholar 

  • Moore, G. H. (1982, May–June). How much inflation depends on how you measure it. Inflation Watch (pp. 7–8).

    Google Scholar 

  • Moore, G. H. (1983). Business cycles, inflation and forecasting. NBER Studies in Business Cycles No 24. Cambridge, MA: Ballinger Publishing.

    Google Scholar 

  • SARB. (2015, June). Quarterly Bulletin, No 276 (pp. 14–17). Pretoria: South African Reserve Bank.

    Google Scholar 

  • The Economist. (2005, January 15). Divining the future (p. 63).

    Google Scholar 

  • Van der Walt, B. E. (1983, March). Indicators of business cycle change in South Africa. Quarterly Bulletin, No 147 (pp. 53–63). Pretoria: South African Reserve Bank.

    Google Scholar 

  • Venter, J. C. (2005, September). Reference turning points in the South African business cycle: Recent developments. Quarterly Bulletin, No 237 (pp. 61–69). Pretoria: South African Reserve Bank.

    Google Scholar 

  • Venter, J. C. (2011, June). Business cycles in South Africa during the period 2007 to 2009. Quarterly Bulletin, No 260 (pp. 61–66). Pretoria: South African Reserve Bank.

    Google Scholar 

  • Venter, J. C. (2016, March). Business cycles in South Africa from 2009 to 2013. Quarterly Bulletin, No 279 (pp. 102–112). Pretoria: South African Reserve Bank.

    Google Scholar 

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Venter, J.C. (2020). Assessing the 2013 and 2017 Business Cycle Turning Points Signalled by the SARB’s Composite Leading Business Cycle Indicator. In: Boshoff, W. (eds) Business Cycles and Structural Change in South Africa. Advances in African Economic, Social and Political Development. Springer, Cham. https://doi.org/10.1007/978-3-030-35754-2_9

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