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

Author

Listed:
  • Quaini, Stefania
  • Saccani, Sebastiano
  • Vergalli, Sergio
  • Assom, Luigi
  • Beria, Marco
  • Codello, Alessandro
  • Monaco, Maurizio
  • Sabatini, Riccardo

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

  • Quaini, Stefania & Saccani, Sebastiano & Vergalli, Sergio & Assom, Luigi & Beria, Marco & Codello, Alessandro & Monaco, Maurizio & Sabatini, Riccardo, 2020. "Seasonality Fingerprint on Global Trading of Food-commodities A Data-mining Approach," 2030 Agenda 307306, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemgc:307306
    DOI: 10.22004/ag.econ.307306
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    Keywords

    International Relations/Trade;

    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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