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Risk Management for Commodities Workshop
Excel Focused Technical Skill Development
2 DAY WORKSHOP
(Workshop is not being offered at this time)
Qualifies for CPD and 14 CPE Credits
For this intensive and highly interactive course, all delegates are strongly recommended to attend the workshop with a laptop computer loaded with Microsoft Excel.
INTRODUCTION
In recent years, commodities have emerged as an asset class of their own right. Investments in various commodity related ventures, such as ethanol production, are driven by fundamental shifts in the global markets. Various institutions ranging from hedge funds to university endowments have successfully invested in commodities related investments. The characteristics of physical commodities markets are fundamentally different from financial markets. Spot and derivatives markets for hard commodities (metals, crude oil, and coal) behave differently from markets for soft commodities (agricultural). These differences are substantial, and their effects on price formation and behavior are complex. Both risk mangers and investment managers need to understand what these differences are and how these differences impact both investment decision-making and effective risk management approaches.
Who should attend?
This intensive and interactive training course is designed for practitioners active in commodities markets. As its primary objective, the course aims to provide a practical understanding of the behavior of commodities markets and the risk management implications of commodities markets.
What will you get out of this course?
Gain understanding in the unique statistical properties of commodities markets
Apply complex forward valuation models
Analyze the impact of fundamental factors on commodity values
Structure complex derivatives trades for risk management
Estimate VaR for commodities in a banking book
Practical demonstrations of the above will be provided throughout the workshop through interactive Excel spreadsheets that the delegates will be able to use after the course.
COURSE OVERVIEW AND OUTLINE
Fundamentals of pricing commodities in practice and theory
Spot and futures trading
Storage, inventory, and convenience yield
Arbitrage pricing
Commodity price indexes
Black’s model
EXERCISE: Statistical features of commodity spot and futures series
Issues with backwardation, contango, stochastic and deterministic basis spreads
Spot and futures prices – contango and backwardation
Futures price curves – contango and backwardation
Basis spreads
EXERCISE: Modeling stochastic and deterministic basis spreads
Behavior of cyclical commodities
Metals markets and their features
Price movements in metal markets
Using futures to hedge static price risk
Using complex strategies to hedge dynamic price risk
EXERCISE: Trading the shape of the forward commodities price curve
Behavior of seasonal commodities
Agricultural markets – grains and other soft commodities
Using futures to hedge price risk
EXERCISE: Commodity quanto options
Behavior of cyclical and seasonal commodities
Gas and oil markets in a global context
Physical and financial energy markets
EXERCISE: Predicting energy demand
Use of complex contracts in the energy sector to manage risk
Common risk management practices in the energy sector
EXERCISE: Crack, black, and spark spreads
Measurement issues in commodities price modeling
Price transparency
Volatility issues
Rolling contracts forward
Creating a maturity consistent futures price series
EXERCISE: Creating maturity consistent futures prices series
Towards a commodities VaR
Commodities in the banking book
Principles of VaR estimation applied to commodities