Does the Baltic Dry Index predict economic activity in South Africa? A review from 1985 to 2016

Abstract

Background: The ability of the Baltic Dry Index to predict economic activity has been evaluated in a number of developed and developing countries. Aim: Firstly, the article determines the primary factors driving the dynamics of the Baltic Dry Index (BDI) and, secondly, whether the BDI can predict future share price reactions on the Johannesburg Stock Exchange All Share Index (JSE ALSI), South Africa. Setting: This article investigates the dynamics and predictive properties of the BDI in South Africa between 1985 and 2016. Methods: The article uses a review of a wide range of published data and two time-series data sets to adopt a mixed methods approach. An inductive contents analysis is used to answer the first research question and a combination of a unit root test, correlation analysis and a Granger causality model is employed to test the second research question. Results: The results show that the BDI price is primarily driven by four underlying constructs that include the supply and demand for dry bulk shipping, as well as risk, cost and logistics management factors. Secondly, the results indicate a break in the BDI data set in July 2008 that influences a fundamental change in its relationship with the JSE ALSI index. In the pre-break period (1985 to 2008), the BDI is positively correlated with the ALSI (0.837, α = 0.05) before sharply diverging in the second period from August 2008 to 2016. In the first period, the BDI showed an optimal lag period of 6 months as a predictor of the ALSI index, but this predictive ability ceases after July 2008. The article makes a two-part contribution. Firstly, it demonstrates that the BDI is a useful predictor of future economic activity in an African developing country. Secondly, the BDI can be incorporated in government and industry sector planning models as a variable to assess future gross domestic product trends. Conclusion: The study confirms that the BDI is only a reliable indicator of future economic activity when the supply of shipping capacity is well matched with the demand.

Determining the Causal Relationship Between Baltic Dry Index (Bdi) and Macroeconomic Variables by Toda-Yamamoto Analysis

“…Moreover, this indicator is an essential basis for predicting stagnations, growths, and recessions that may occur in the economy. BDI is a strongly representative indicator due to open supply and demand forces, the number of ships using it, and the fact that containers around the world stay within a certain limit (Geman and Smith, 2012;Bildirici, Kayıkçı, and Onat, 2015;Sartorius, Sartorius, and Zuccollo, 2018). BDI is known as a measure of the state of the economy (Bakshi, Panayotov, and Skoulaki, 2011), and it is accepted as an indicator of efficiency in the maritime sector, which is very important for businesses trying to compete in a capital-intensive industry (Açık and Başer, 2018;.…”