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: