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Predictive Models To Determine Market Timing Opportunities For the Jse

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  • J N Keuler
  • J D Krige

Abstract

The objective of this study is to establish whether it is possible to develop a mathematical forecasting model which can be used to out-perform the JSE All Share Index (ALSI) by switching between the ALSI and cash on a monthly basis.A number of models were formulated, using regression analysis to determine a future value and then transforming this predicted value via logit scaling to a probability that the ALSI will outperform cash in the future period. Based on this probability one of two decisions was made at the end of each month, that is to stay in the current asset or to switch to the alternate asset.The best results from these models outperformed the ALSI (dividends included) by 7 – 9 % compound per year over 15 years. The inclusion of transaction costs reduced the gain to 4 – 5 % compound per year. These results were better than the performance of both a random model and the ALSI by a statistically significant margin. Furthermore, these results compare very favourably with similar international studies which have been conducted during the past 10 years.

Suggested Citation

  • J N Keuler & J D Krige, 2009. "Predictive Models To Determine Market Timing Opportunities For the Jse," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 33(1), pages 59-83, April.
    • Handle: RePEc:taf:rseexx:v:33:y:2009:i:1:p:59-83
    DOI: 10.1080/10800379.2009.12106463
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