Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach

The prime objective of this research is to analyze the spillovers and associations between the commodity markets of energy, food, and agriculture products. In doing so, the authors used the most recently available monthly data covering the period of 1960M01 to 2021M04. For empirical analysis, the authors employ the quantile coherency method of Barunik and Kley (2019) to analyze the spillovers between energy, food, and agricultural commodities. The empirical findings indicate less spillover relationships between oil and agriculture on foreign markets in the short and long term. Energy and fertilizers have strong coherency at extreme positive and negative values. During an economic boom, the intense co-movement of oil, agriculture, food, and metal sectors may be negative, highlighting the opportunity for investment diversification. (c) 2022 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.

Automated summary

The main objective of this research is to analyze the spillovers and associations between energy, food, and agricultural commodity markets. The authors used recently available monthly data from 1960M01 to 2021M04 for their empirical analysis. They employed the quantile coherency method to examine the spillovers between these commodity markets. The empirical findings suggest limited spillover relationships between oil and agriculture in foreign markets, and highlight the opportunity for investment diversification during economic booms.