Quantitative Modelling in Commodity Markets


Quantitative Modelling in Commodity Markets is a conference dedicated to the improvement of quantitative methods for commodity markets by incorporating technologies such as artificial intelligence, machine learning, and deep learning.

Quantitative Modelling in Commodity Markets covers topics such as:

  • Modelling of volatility and correlation between different assets in commodity markets
  • The use of machine learning, deep learning, data science and AI techniques for quantitative modelling of commodities
  • Data quality, mining and extraction to support commodity modelling and quantitative trading techniques
  • Accuracy of renewable models to better capture renewable

Quantitative Modelling in Commodity Markets brings together senior attendees with responsibilities in:

  • Risk (Management)
  • Risk Modelling
  • Quantitative Modelling (Research/Analytics)
  • Modelling
  • ETRM
  • Data Science
  • Market Risk
  • Risk and Trading
  • Data Analytics
  • Market Analysis

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Past Events


Please, check the official conference website for possible changes, before you make any traveling arrangements

Prices are for evaluation only.

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