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

Author

Listed:
  • Stefania Quaini

    (Fondazione Eni Enrico Mattei)

  • Sebastiano Saccani

    (Fondazione Eni Enrico Mattei)

  • Sergio Vergalli

    (Fondazione Eni and University of Brescia)

  • Luigi Assom
  • Marco Beria
  • Alessandro Codello

    (Instituto de Fisica, Faculdad de Ingenieria, Universidad de la Republica)

  • Maurizio Monaco
  • Riccardo Sabatini

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.

Suggested Citation

  • Stefania Quaini & Sebastiano Saccani & Sergio Vergalli & Luigi Assom & Marco Beria & Alessandro Codello & Maurizio Monaco & Riccardo Sabatini, 2020. "Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach," Working Papers 2020.15, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2020.15
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    Keywords

    Trade; Food Commodities; Resource Access and Availability; Index; Fingerprint; Data Mining;
    All these keywords.

    JEL classification:

    • F18 - International Economics - - Trade - - - Trade and Environment
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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