Introduction
Commodity prices are influenced by a wide range of economic, geopolitical, and environmental factors, often resulting in significant volatility. For businesses and investors, understanding and forecasting these price movements is essential for effective decision-making. This course provides a structured approach to analyzing commodity markets, identifying key drivers of price changes, and applying appropriate forecasting models. It also covers tools and techniques to help manage risk and respond to market fluctuations with greater confidence and precision.
Course Outline
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Course Objectives
- Target Audience
Commodity and Price
- Key commodity sectors: energy, metals, agriculture.
- Physical vs. financial commodities.
- Spot markets, futures markets, and derivatives.
- Key price drivers in commodity markets.
- Supply and prices under climate and natural disasters.
- Speculation and price volatility.
Commodity Price Forecasting
- Technical analysis to identify price trends and reversals.
- Time series analysis and regression models.
- Influence of inflation, interest rates, and exchange rates.
- Global economic indicators and commodity demand.
- How to adjust forecasts for seasonal variations.
Advanced Financing Techniques
- Stress testing commodity portfolios.
- How price elasticity affects demand and pricing power.
- Historical price volatility and predicting future fluctuations.
- Price indexes for benchmarking and forecasting.
- Key factors affecting energy prices.
Agricultural & Industrial Commodities
- The impact of weather, climate, and crop yields on prices.
- Forecasting agricultural commodity prices using market reports.
- Key factors influencing prices of industrial metals.
- The role of renewable energy in metal demand.
- Commodity price forecasting and international trade.
- Key drivers of commodity prices in emerging economies.
Risk Management
- Identifying risks for commodity price volatility.
- Commodity futures, options, and swaps.
- Managing price fluctuations with derivatives.
By the end of this course, participants will be able to:
- Learn about the global commodity markets and price fluctuations.
- Identify factors that affect commodity supply and demand.
- Apply various forecasting techniques to predict commodity price movements.
- Utilize econometric models and statistical tools for price forecasting.
- Identify and manage risks associated with commodity price volatility.
This course is ideal for
- Commodity Traders.
- Procurement Managers.
- Risk Managers
- Portfolio Managers.
- Supply Chain Managers
- Corporate Finance officers.
Course Schedule & Fees
- Kuala Lumpur
- Singapore
- Amsterdam
- Online
- Course Fees
This course will take place in Kuala Lumpur on the following dates:
| 19/05/2025 | 02/06/2025 | 16/06/2025 | 30/06/2025 |
| 14/07/2025 | 28/07/2025 | 11/08/2025 | 25/08/2025 |
| 08/09/2025 | 22/09/2025 | 06/10/2025 | 20/10/2025 |
| 03/11/2025 | 17/11/2025 | 01/12/2025 | 15/12/2025 |
| 29/12/2025 | 12/01/2026 | 26/01/2026 | 09/02/2026 |
This course will take place in Singapore on the following dates:
| 12/05/2025 | 02/06/2025 | 23/06/2025 | 14/07/2025 |
| 04/08/2025 | 25/08/2025 | 15/09/2025 | 06/10/2025 |
| 27/10/2025 | 17/11/2025 | 08/12/2025 | 29/12/2025 |
| 19/01/2026 | 09/02/2026 |
This course will take place in Amsterdam on the following dates:
| 05/05/2025 | 26/05/2025 | 16/06/2025 | 07/07/2025 |
| 28/07/2025 | 18/08/2025 | 08/09/2025 | 29/09/2025 |
| 20/10/2025 | 10/11/2025 | 01/12/2025 | 22/12/2025 |
| 12/01/2026 | 02/02/2026 | 23/02/2026 |
This course will take place Online the following dates:
| 27/05/2025 | 24/06/2025 | 22/07/2025 | 19/08/2025 |
| 16/09/2025 | 14/10/2025 | 11/11/2025 | 09/12/2025 |
| 06/01/2026 | 03/02/2026 |
| Kuala Lumpur | Singapore | Amsterdam | Online |
| USD$ 3,580 | USD$ 5,600 | USD$ 5,600 | USD$ 1,920 |
