Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach
F18, Q17, C8, C43
Trade, Food Commodities, Resource Access and Availability, Index, Fingerprint, Data Mining
We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.
Suggested citation: Quaini, S., S. Saccani, S. Vergalli, L. Assom, M. Beria, A. Codello, M. Monaco, R. Sabatini, (2020), ‘Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach’, Nota di Lavoro 15.2020, Milano, Italy: Fondazione Eni Enrico Mattei