Quantitative Modelling in Commodity Markets

"Incorporating evolution in quantitative methods such as artificial intelligence, machine learning"
Increasingly, trading houses and financial institutions are searching for a competitive edge to stay relevant in the business, frequently that edge has been found in robotics and AI techniques, either replacing or being used in combination with the traditional methods of quantitative modelling. Commodity trading is no different; firms are increasingly looking to enhance their models and better their risk management techniques through the use of AI methodologies. This marcus evans event will assess how financial institutions are utilising AI, ML and data science to enhance the predictive and risk modelling of their commodities in order to gain a competitive edge.


08:30 AM - 05:30 PM (General)

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upto 100 DelegatesEstimated Count

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Banking & Finance
IT & Technology


23-25 Sep 2019 Interested

Frequency Annual

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Marcus Evans (EMEA) UK

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