Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach

Stefania Quaini, Sebastiano Saccani, Sergio Vergalli, Luigi Assom, Marco Beria, Alessandro Codello, Maurizio Monaco and Riccardo Sabatini
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Stefania Quaini: Fondazione Eni Enrico Mattei
Sebastiano Saccani: Fondazione Eni Enrico Mattei
Alessandro Codello: Instituto de Fisica, Faculdad de Ingenieria, Universidad de la Republica

No 2020.15, Working Papers from Fondazione Eni Enrico Mattei

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.

Keywords: Trade; Food Commodities; Resource Access and Availability; Index; Fingerprint; Data Mining (search for similar items in EconPapers)
JEL-codes: C43 C8 F18 Q17 (search for similar items in EconPapers)
Date: 2020-10
New Economics Papers: this item is included in nep-agr and nep-int
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Working Paper: Seasonality Fingerprint on Global Trading of Food-commodities A Data-mining Approach (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:fem:femwpa:2020.15

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