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Abstract

Commodity prices are volatile. Forecasting the volatility has been notoriously difficult. We propose using Internet search activity to forecast commodity futures price volatility. We show that Google search volume improves forecasts of volatility both in-sample and out-of-sample in all commodity categories (energy, metal and agriculture).

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