Date of This Version
10-22-2020
Abstract
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.
Recommended Citation
Quaini, Stefania; Saccani, Sebastiano; Vergalli, Sergio; Assom, Luigi; Beria, Marco; Codello, Alessandro; Monaco, Maurizio; and Sabatini, Riccardo, "Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach" (October 22, 2020). Fondazione Eni Enrico Mattei Working Papers. Paper 1303.
https://services.bepress.com/feem/paper1303