Abstract
The present study investigates the relation between different measures of price volatility (conditional, historical and implied) and different types of speculation (short-run, long-run and excessive) in futures commodity markets for the period 2000–2015. To this purpose, we first use a pairwise Granger causality analysis for 28 individual commodities belonging to energy, agricultural and metal markets. Then, we implement a novel combination of combinations of p-values test to assess whether lead-lag relations exist between speculation and price volatility for broad categories of commodities. The results of both testing procedures show that the majority of significant relations refer to agricultural commodities and that tendentially short-run speculation leads volatility. This means that noise trading has a leading power on market volatility and scalpers are a class of volatility-drivers.
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