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.
Quantitative Modelling in Commodity Markets 2019 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 2019 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