Quantitative Modelling in Commodity Markets 2019 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.
Topics
- 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
Who should Attend
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
