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

No 307306, 2030 Agenda from Fondazione Eni Enrico Mattei (FEEM)

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: International; Relations/Trade (search for similar items in EconPapers)
Pages: 15
Date: 2020-11-05
New Economics Papers: this item is included in nep-agr and nep-int
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https://ageconsearch.umn.edu/record/307306/files/NDL2020-015.pdf (application/pdf)

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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:ags:feemgc:307306

DOI: 10.22004/ag.econ.307306

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