Energy Commodity Risk Management for Energy Companies Training Course

Course overview

Energy companies manage exposure across crude oil, refined products, natural gas, power, LNG, coal, emissions and renewable certificates while operational plans, contract volumes and market prices change daily. A forecast margin can be eroded by basis movements, imbalance charges, volumetric uncertainty, counterparty failure or an ineffective hedge. This course addresses the practical challenge of measuring these exposures consistently and making risk decisions that protect cash flow without removing commercially necessary market participation.

Participants learn to build an energy commodity risk framework linking physical positions, derivative instruments, credit exposure and operational constraints. They calculate mark-to-market values, realised and unrealised profit and loss, value-at-risk, stress losses and hedge effectiveness; distinguish flat-price, basis, spread, shape and volume risk; and assess futures, swaps, options and structured supply contracts. The programme also covers hedge designation principles, exposure limits, collateral mechanics, credit controls, risk reporting and escalation for energy trading and procurement environments.

Instructor-led sessions use realistic trading books and physical supply scenarios covering oil, gas and power. Participants work in Excel-based risk models, interpret price and position data, test hedge alternatives and present decisions to a risk committee. By the end of the week, each participant leaves with an Energy Commodity Risk Management Pack: an exposure map, risk appetite and limits proposal, hedge assessment, stress-test dashboard and 90-day implementation plan tailored to their business unit.

The course is designed for finance, trading, commercial, procurement and risk professionals who already work with energy contracts or commodity-linked budgets and need a disciplined, auditable approach to market and credit risk decisions.

Course objectives

By the end of this course, participants will be able to:

• Map physical and financial commodity exposures across price, basis, volume, timing and counterparty risk categories
• Calculate mark-to-market values and daily profit and loss for futures, swaps, options and physical energy positions
• Build a value-at-risk and stress-testing model for an energy trading or procurement portfolio
• Evaluate hedge alternatives using hedge ratios, correlation analysis, basis-risk analysis and residual-exposure measures
• Set risk appetite statements, position limits, stop-loss thresholds and escalation triggers for a commodity risk policy
• Assess counterparty credit exposure using potential future exposure, collateral thresholds and credit-limit utilisation
• Design a risk report that reconciles physical volumes, derivative positions, market values and limit breaches
• Produce an Energy Commodity Risk Management Pack containing an exposure map, hedge recommendation and implementation plan

Benefits of attending

Target competencies

Who should attend

• Commodity Risk Managers — who need consistent exposure measurement, limits and risk reporting across trading and commercial portfolios
• Energy Traders — who must understand how hedge decisions, position limits and mark-to-market controls affect trading activity
• Treasury and Corporate Finance Managers — who manage liquidity, collateral and earnings volatility arising from commodity contracts
• Commercial and Origination Managers — who structure supply, offtake and long-term contracts with embedded market risk
• Energy Procurement Managers — who must defend fuel, power and gas purchasing strategies against price and volume uncertainty
• Financial Controllers and Management Accountants — who reconcile commodity profit and loss, valuation movements and hedge performance

Requirements and prerequisites

Participants should have working experience with energy procurement, trading, commercial contracts, treasury, finance or risk reporting. They should understand basic financial concepts including profit and loss, cash flow, present value, market prices and the difference between a physical contract and a derivative. Familiarity with Excel formulas, charts and tables is expected because exercises use spreadsheet models. Prior experience with futures, swaps, options, value-at-risk or an energy trading and risk management system is helpful but not required. Advanced quantitative modelling, programming, accounting qualifications and prior use of Openlink Endur are not required.

Training methodology

The programme combines instructor-led analysis of energy markets and contract structures with guided modelling workshops using realistic physical and derivative position data. Participants calculate daily profit and loss, value-at-risk, stress losses, hedge ratios and collateral exposure in Excel, then discuss their findings in risk-committee style groups. Cases examine oil, gas and power portfolios where operational changes create basis, volume or liquidity risk. Each day closes with a practical output, and the final session converts these outputs into an individual implementation plan for the participant’s workplace.

Course outline

Day 1: Energy commodity exposures and risk governance

• Energy value chains and commodity price formation
• Physical versus financial exposure identification
• Flat-price, basis, spread, shape and volume risk
• Contract terms that create embedded commodity risk
• Risk appetite statements and risk tolerance metrics
• Position limits, delegated authorities and stop-loss controls
• Risk governance roles across trading, commercial, finance and risk teams

Workshop: Participants create an exposure map for a gas-and-power business, identifying risk owners, data sources and control points.

Day 2: Valuation, profit and loss, and market risk measurement

• Forward curves, discounting and mark-to-market valuation
• Realised and unrealised profit and loss attribution
• Futures, swaps, options and physical contract valuation drivers
• Daily position reconciliation between physical and derivative books
• Historical value-at-risk calculation in Excel
• Parametric value-at-risk assumptions and limitations
• Stress testing using price shocks, basis shocks and volume scenarios

Workshop: Participants build a daily market-risk dashboard for a multi-commodity portfolio and present its largest risk drivers.

Day 3: Hedging energy price and volume risk

• Hedging objectives for margin protection, budget certainty and cash-flow stability
• Hedge ratio calculation and exposure matching
• Basis risk and cross-hedging correlation analysis
• Calendar spreads, crack spreads and spark-spread hedging
• Options strategies for asymmetric price protection
• Volume uncertainty, load risk and forecast-error hedging
• Hedge effectiveness testing and residual-risk documentation

Workshop: Participants compare futures, swaps and options for a refinery feedstock exposure and produce a hedge recommendation with residual-risk analysis.

Day 4: Credit, liquidity and operational risk controls

• Counterparty credit assessment for commodity trading relationships
• Current exposure and potential future exposure measurement
• Credit limits, parent guarantees and collateral thresholds
• Margining, variation margin and liquidity-at-risk forecasting
• Master agreements, netting and close-out provisions
• Operational risk in trade capture, confirmations and settlements
• Control testing, exceptions management and audit trails

Workshop: Participants assess a counterparty portfolio, calculate limit utilisation and propose collateral and escalation actions.

Day 5: Risk reporting and implementation planning

• Executive risk dashboards for commodity portfolios
• Risk report design for trading, finance and board audiences
• Limit-breach reporting and risk committee escalation packs
• Scenario narratives linking market moves to earnings and cash flow
• Hedge performance review and post-trade challenge
• Using Openlink Endur and Excel data in risk-control workflows
• Ninety-day commodity risk management implementation planning

Workshop: Participants complete and present their Energy Commodity Risk Management Pack, including exposure map, limits proposal, stress dashboard and 90-day action plan.

Tools & standards covered

Microsoft Excel, Openlink Endur, Argus Media, ISO 31000

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions