Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This study analyzes the lead-lag relationship between the price indices of energy fuels and each of food, industrial inputs, agriculture raw materials, metals and beverages in the time-frequency domain. To this end, we first use the wavelet coherency and phase-differences. Next, we use the Diebold and Yilmaz (2012) and Barunik and Krehlik (2017) spillover indices to analyse the connectedness among the set of the price indices under consideration. The period of the study is 1990m1 to 2017m5. The wavelet coherency results reveal that there are important and significant relations between the fuel and food prices, the fuel and industrial prices, and the fuel and metal prices. These results also show that there are phase relationships between those paired prices. The volatility spillover results indicate that the agricultural sector is the most affected by shocks from the other markets. The return series of the industrial input prices at all frequencies appears to be the main source of volatility transmission to the prices of the other commodities over the whole period. This finding underlines the relevance of the industrial inputs to policy makers, particularly when they design policies to provide incentives related to industrial production.