Modeling fluctuations in the global demand for commodities. (November 2018)

• Record Type: Journal Article
• Authors: Kilian, Lutz; Zhou, Xiaoqing
• Is Part Of: Journal of international money and finance. Volume 88(2018)
• Page Start: 54
• Page End: 78
• Publication Date: 2018-11
• Subjects: F44 -- Q11 -- Q31 -- Q41 -- Q43; Commodity market -- Demand -- Real economic activity -- Global economy -- Oil price -- International business cycle -- Leading indicators, BDI; International finance -- Periodicals; Foreign exchange -- Periodicals; Finances internationales -- Périodiques; Change -- Périodiques; Foreign exchange; International finance; Periodicals; 332.04205
• DOI: 10.1016/j.jimonfin.2018.07.001
• Languages: English
• ISSNs: 0261-5606

Abstract

Highlights: There are many alternative indicators of global real economic activity. New evidence and new insights help understand the differences. Indices derived from shipping rates and commodity price factors are most suitable. Pros: accurate timing, long monthly series, global coverage, robust to structural change. Systematic evidence of a global slowdown after 2011 in commodity markets. Abstract: It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity. There have been numerous proposals for quantifying global real economic activity. We discuss which criteria a measure of global real activity must satisfy to be useful for modeling industrial commodity prices, we examine which of the many alternative measures in the literature are most suitable for applied work, and we explain why some popular measures are inappropriate for modeling industrial commodity prices. Given these insights, we examine the question of whether there has been a slowdown in global real economic activity between 2011 and 2016 and by how much. Drawing on a range of new evidence, we show that the global commodity price boom of the 2000s appears to have been largely transitory and that the partial recovery after 2016 has been fueled by the strength of advanced economies rather than China. Our analysis has important implications for the design of structural models of commodity markets, for the analysis of the transmission of commodity price shocks to commodity-importing and -exporting economies, and for commodity price forecasting.