Organize energy risk study around tracing exposures to instruments: identify the price, basis, volume, and credit legs of each scenario, choose the instrument that fixes the relevant leg in the correct direction, and name the residual risk you have accepted. Work through scenario questions by writing the position, the hedge direction, and what remains uncovered before selecting an answer. Build fluency in forward curves, swap-versus-futures-versus-option tradeoffs, and the limits of VaR and stress testing. Scope note: GARP has retired the ERP program and no longer lists it among its current offerings, so verify credential status at garp.org; the concepts here remain core energy risk material.
Reading a Forward Curve: Contango, Backwardation, and What Each Implies
A forward curve lists prices for delivery at successive future dates. Contango means later deliveries cost more; backwardation means they cost less. The shape carries information about storage economics and near-term scarcity that spot prices alone do not show.
Contango typically reflects the cost of carrying inventory: storing a commodity, financing the purchase, and insuring it must be worth less than the spread between near and far months, or arbitrage would close the gap. Backwardation signals that prompt deliveries command a premium, often because near-term supply is tight relative to immediate demand. In energy markets these shapes shift quickly, since weather, outages, and storage levels move physical fundamentals on short timescales.
When you study, practice reading the curve as a statement rather than a list. Ask what shape the curve has, what that shape says about the relationship between current inventory and the expected supply-demand balance, and how a given hedge would interact with it. A short hedge against unsold inventory, for instance, earns or loses roll yield depending on the curve, which is a curve-shape consequence rather than a forecast. Making that link explicit turns curve terminology into a tool you can apply in scenario questions.
Price Risk, Basis Risk, and Volume Risk Are Different Problems
Price risk is uncertainty in a quoted price. Basis risk is the uncertainty in the difference between a quoted benchmark and your actual physical location or grade. Volume risk is uncertainty in the quantity you will buy, sell, or deliver.
These three risks demand different instruments, and confusing them is a central conceptual trap in energy hedging study. A liquid benchmark futures contract addresses price risk at the benchmark delivery point. It does not automatically address basis risk, because the difference between the benchmark price and your regional hub price can move independently due to pipeline constraints, local storage, or quality differentials. Volume risk sits on top of both: if the quantity you must supply changes with weather or demand, a fixed-volume hedge can leave you long or short at settlement.
Compare the three directly as you study. A gas utility facing a cold winter has price risk on its purchases, basis risk between its regional market and the benchmark hub, and volume risk from heating-degree-day variability. A single benchmark swap resolves only the first leg cleanly. In scenario questions, train yourself to label each leg before evaluating any hedge: write down which risk the proposed instrument actually fixes and which legs remain. This labeling habit converts a vague multiple-choice situation into a checkable analysis.
Swaps, Futures, and Options: Matching the Instrument and Direction to the Exposure
Forwards and swaps are customized bilateral agreements with counterparty credit exposure; futures are exchange-traded, margined, and standardized; options provide asymmetric payoffs for a premium. The right choice depends on customization needs, credit appetite, and whether the exposure is symmetric.
A swap is often the natural tool for a fixed-price physical commitment, because terms can be tailored to the delivery location, quantity, and tenor of the underlying deal. The tradeoff is bilateral credit exposure: each party relies on the other performing, which is why credit support annexes and collateral matter in energy transactions. Futures standardize the contract terms and reduce credit exposure through daily margining at a clearinghouse, but the standardized delivery point and grade create basis risk when your physical exposure sits elsewhere.
Options differ in kind, not just degree. A cap on a fuel purchase or a floor on a power sale addresses an asymmetric exposure: protection against adverse moves while retaining benefit from favorable ones, paid for with premium. A hedger buying an option carries performance risk on the writer's side, since the protection is only as good as the counterparty's obligation to pay. In scenarios, trace each candidate instrument through the full payoff: what happens at extreme prices, who bears credit risk, and what cost is embedded.
| Instrument | Terms | Credit exposure | Payoff shape | Best matched to |
|---|---|---|---|---|
| Forward/swap | Customized location, volume, tenor | Bilateral until settled | Symmetric lock of price | Physical commitments needing exact terms |
| Futures | Standardized contract, daily margin | Clearinghouse intermediated | Symmetric lock at benchmark point | Liquid exposures close to the benchmark |
| Options (cap/floor) | Premium paid up front | For the buyer: to the writer's performance on payout | Asymmetric: protection plus upside | Exposures where adverse moves only matter one way |
Worked Scenario 1: Hedging a Fixed-Price Sale — Direction Before Basis
A supplier committed to deliver gas at a fixed price must buy fuel later, so the correct benchmark hedge is a long position. The plausible mistake is shorting futures like a producer; even corrected, the regional-basis leg stays open.
Scenario: a supplier has agreed to deliver gas next winter at a regional hub for a fixed price and will purchase the gas in the regional market closer to delivery. Its exposure is to rising regional prices. The plausible first answer says: 'I have gas to deliver, so I short benchmark futures' — mirroring a producer hedge. That is inverted: a short position gains when prices fall, so if regional prices rise the supplier loses on both the physical purchase and the futures. The hedge doubles the exposure instead of locking it.
The better decision fixes direction first, then location. The supplier goes long benchmark futures or buys a fixed-for-floating swap to lock the acquisition cost, then addresses the basis: the regional hub price and the benchmark price can diverge if pipeline capacity tightens, so the supplier reviews historical basis behavior and adds a basis swap or adjusts terms to fix the location spread too. Reproduce this trace in your notes step by step — physical position, hedge direction, basis leg, residual — because an inverted hedge is a leveraged position, and an unfixed basis leaves the spread the business depends on unmanaged.
Worked Scenario 2: Fixed-Volume Hedging Against Weather-Driven Load
A power supplier serving weather-driven load hedges with fixed-volume swaps. The plausible mistake is hedging the mean forecast volume exactly; the better decision hedges the high-confidence base and uses option structures for the weather-sensitive remainder.
Scenario: the supplier must serve load whose quantity depends on winter temperatures, so it buys wholesale power to meet demand and hedges by purchasing fixed-for-floating swaps for its forecast volume. The plausible mistake is hedging exactly the mean forecast. If actual load exceeds forecast, the supplier buys the excess at spot, potentially at stressed prices during the very weather event that drove load up; if load falls short, it is overhedged and unwinds at a loss. The fixed swap fixed price but ignored the volume leg entirely.
The better decision separates the exposure: hedge the high-confidence base portion with swaps, and cover the weather-sensitive portion with options or a structured product whose volume flexes with an agreed index such as a temperature-degree measure. Why it matters: the revised structure keeps the symmetric hedge where the exposure is symmetric and buys asymmetry where the exposure is asymmetric, aligning payoff shape with risk shape. This is the volume-leg counterpart of Scenario 1's basis lesson, which is why practicing both traces together cements the framework.
VaR, Stress Testing, and Scenario Analysis: What Each Measure Can and Cannot Say
Value-at-risk estimates a loss threshold over a horizon at a confidence level under ordinary conditions. Stress testing evaluates defined extreme scenarios; scenario analysis explores hypothetical events. Each answers a different question, and none covers every exposure.
VaR is useful for communicating tail exposure in a single number, but it says nothing about how large losses beyond the threshold may be, and estimates fitted to historical data can understate risk when conditions depart from the sample period. Expected shortfall addresses the tail-severity gap by averaging losses beyond the threshold, at the cost of greater estimation uncertainty. In energy markets specifically, price spikes, negative prices, and abrupt curve shifts appear in the data, so measures fitted to calm-period behavior deserve explicit scrutiny.
Stress testing and scenario analysis complement VaR by asking structured what-if questions: a sustained supply outage, a demand shock from extreme weather, a collapse in storage capacity, or simultaneous price and volume moves. A key study habit is checking whether a scenario includes cross-effects, such as price and volume moving adversely together, which is plausible in energy because the same weather event can drive both. Practice articulating what question each measure answers and what it structurally cannot, then match each measure to the exposure in a case rather than treating them as interchangeable.
A Two-Week Curve-Tracking Exercise and an Adaptable Preparation Sequence
Track one commodity's forward curve daily for two weeks, record shape and link changes to news, and grade yourself against a rubric. Sequence preparation through market mechanics, exposure classification, instrument matching, risk measures, and case practice.
Setup: choose a commodity with a publicly quoted forward curve, and each study day record the prompt-month price, a far-month price, and the spread, labeling the curve as contango, backwardation, or flat. Note one market event each day, such as a weather forecast change or storage report, and hypothesize how it should affect the shape. After two weeks, compare your recorded shapes and events to see which links held. If public quotes are hard to access, reasonable hypothetical numbers work; the exercise is illustrative practice either way.
Sequence preparation in adaptable blocks: market mechanics and curve reading first, then the price-basis-volume classification, then instrument matching using the comparison table, then risk measures and their limits, then timed case practice with ethics and professional standards reviewed in context. Before concluding preparation, check that you can read an unfamiliar curve and state its shape and implication within a minute; label all risk legs and the residual in a two-paragraph case unaided; and explain swap-versus-futures credit and margin differences, plus what VaR, expected shortfall, and stress testing each miss, without notes.
- Day 1-3: record curve shape and spread; practice labeling only
- Day 4-7: add one-line fundamental explanations for each shape
- Day 8-11: add hedge implications for a sample long and short position
- Day 12-14: score the log against the rubric — labeling, explanation, hedge interaction including roll effects, and event linkage — and rewrite weak entries
- Treat rubric scores as learning milestones, not pass predictions
- Verify the ERP program's current status and any administrative details directly with GARP at garp.org rather than third-party summaries
References and further reading
Use these references to explore the concepts and check the latest information from the relevant organizations.