There is one type of failure in hedging post-mortems that is especially frustrating: the direction was right, the ratio was right, even the entry point was right — and the hedge still lost money. The cause usually sits in a step that looks minor: the contract rollover.
This sounds like blaming execution, but it is not. Rollover is a structural step in hedging: not an appendage of hedging strategy, but the only precondition on which a cross-period hedge can remain continuous. Contracts expire; exposure does not. Get the rollover wrong once and exposure is naked at some moment.
"Hedging strategy" is often used as a synonym for position ratio. In practice at least three meanings get mixed together, and while you cannot tell them apart, the policy cannot be written.
The first layer is how you hedge: long hedge or short hedge. A company buying raw material buys futures to lock its cost; a producer or a trader sells futures to lock its price. This layer depends on whether you are the buyer or the seller, and leaves no room for choice.
The second layer is coverage strategy: static, rolling or dynamic. This layer is a choice, and it is the part most policies should actually specify.
The third layer is instrument mix: futures only, or futures plus options, basis pricing and bespoke OTC. This layer decides in which direction you give up return.
Static hedging means: at contract signing, establish a futures position of equal volume and equal tenor, and do not adjust it afterwards.
Its advantage is very real — the result is explainable. At any point in time, "is the cost of this batch locked?" is a number you can compute directly, with no strategy discussion and no judgement required. That is friendly both to a board internally and to an audit externally.
Its cost is giving up optionality. When price moves in your favour, you can only watch. When price moves against you, you can also only watch. A common example: a steel mill signed a 10,000-tonne iron ore procurement contract in May 2023 and ran a static long hedge; iron ore rose by around 8% during the procurement period. The company locked its cost successfully, and the price was giving up all the upside if prices fell.
Static hedging suits one clear situation: exposure that is highly certain in both timing and quantity, at a company with neither the willingness nor the capacity to absorb price moves. If a company has not yet built basic exposure management, static hedging is usually the right first step — it is simple enough to be hard to get wrong.
When exposure is continuous — a standing need to buy raw material, a standing inventory exposure — positions must be moved repeatedly from the near month to the far month. That is rolling hedging.
Its value is continuity of the hedge: at any point there is a matching futures position, so there is no hole where this month is locked and last month was not. The price is that the rollover action itself introduces three purely operational risks, none of which has anything to do with reading the market.
In the instant between closing the old position and building the new one, the physical exposure is completely naked. If the rollover is scheduled at the tail of the night session or before a holiday, that window can run for hours, even across a day boundary.
Opening the new position before closing the old one pushes the effective hedge ratio above the exposure. The subtler case is the wrong direction: the intention was a long hedge and the new position is opened short, so the cost is not locked and an additional directional position has been layered on.
This is the one most often misdiagnosed. The basis between the near and far contract is not continuous, and the moment of rollover generates an unplanned spread P&L. That P&L has nothing to do with how well you hedged — it is purely the basis difference between two contracts. But if a company does not identify it separately, the review treats it as a hedging failure and reaches the wrong conclusion: better not to hedge at all.
Dynamic hedging is driven by actual changes in inventory and exposure: add hedge positions as inventory rises and reduce them as it falls; raise the ratio as orders come in and lower it as orders slow. It fits the real risk exposure most closely and works best in theory.
But it has one fatal precondition: the exposure data itself must be accurate and timely. If the exposure data is wrong, dynamic hedging is precise arithmetic on wrong inputs. The more practical problem is a human one — dynamic strategy means frequent adjustment, and frequent adjustment is counter-trend in the short run (add when prices fall, cut when prices rise), which runs directly against instinct. Without firm rules to hold it, dynamic hedging is easily pulled off course by emotion and ends up as a speculative position wearing a hedge's label.
So dynamic hedging, like static hedging, has to specify trigger conditions, adjustment thresholds and exception handling. The difference is that the rules are more complex, which puts a higher demand on data quality and execution discipline.
| Strategy | Trigger logic | Suitable exposure | Advantage | Main risk |
|---|---|---|---|---|
| Static hedge | Equal volume and tenor at contract signing | Confirmed long-term contracts | Simple, controllable, explainable | Slow to adjust when the market reverses |
| Rolling hedge | Roll from the near month to the far month before expiry | Continuous, cross-period exposure | Keeps the hedge continuous | Rollover gap / duplication / basis jump |
| Dynamic hedge | Ratio adjusted to inventory and market conditions | Volatile demand, uncertain exposure | Fits the real exposure | High discipline, easily swayed by emotion |
One additional judgement: if the exposure structure is signed, priced and fixed in quantity, static hedging is enough. If exposure is continuous and spans periods, rolling has to be introduced. If the quantity itself swings widely, dynamic is the only rational choice — but only after exposure data has been fixed, otherwise dynamic hedging is just a more precise error.
Industry practice falls into roughly three rollover rules. Which one you pick depends on your exposure structure and your execution capacity.
Rule 1: roll in one block N days before expiry. Complete the whole rollover within a fixed number of days before expiry (commonly 7). The advantage is simplicity: done in one go and easy to check. The disadvantage is that trading volume concentrates on that day, so slippage appears, and if something goes wrong on the day, you enter delivery carrying a gap. This suits concentrated exposure, a single commodity and a lean team.
Rule 2: roll in tranches following the delivery rhythm. Move positions from the near month to the far month in batches matched to the delivery schedule of the physical contracts. The advantage is low daily pressure and a smooth transition. The disadvantage is that the whole process runs in a mixed state where old and new coexist, with two contracts held in the account at once — a clear increase in the complexity of exposure calculation and P&L attribution. This suits dispersed exposure and long delivery cycles.
Rule 3: system-triggered. The system monitors expiry dates, generates a rollover action list and issues notifications, then attributes and recalculates after execution. This rule does not solve strategy questions. It solves "it must not be forgotten" — the root cause of many rollover incidents is not a strategy error, it is that nobody remembered.
In practice the third is usually combined with the first two: the rules decide how, the system makes sure it is not forgotten.
When a rollover goes wrong, the post-mortem almost always lands on the same point: no named owner.
"Roll seven days before expiry" is a correct piece of nothing, because: who generates the rollover list? who confirms the exposure quantity? who places the orders? after the order, who confirms the new position was built? if the quantity does not tie, do you carry on or stop and wait for instructions? and what if that person is on leave?
All of this has to be written into the policy. The experience figures from industry practice are: rollover handling time compressed from about 20 minutes per batch to 3 minutes per batch or less, automated prompts and bulk actions cut manual checking time by more than 70%, and mistake rates held below 0.5%. The point of these numbers is not speed. It is turning a step that demands concentrated attention into a process node that cannot be missed.
If you can answer all three immediately, the rollover is a process at your company. If you cannot, it is still a habit — and habits fail first on the day staff change or the market gets tense.
The practice data in this article — the conditions under which static, rolling and dynamic hedges apply; the three common rollover rules (roll in one block N days before expiry, roll in tranches following the delivery rhythm, system-triggered execution); the rollover time comparison (about 20 minutes per batch compressed to 3 minutes per batch or less); manual checking time cut by more than 70%; mistake rates held below 0.5%; and the roughly 15% reduction in period-versus-futures exposure volatility under dynamic hedging — come from RMC's own observations in hedging system build-out and advisory projects for steel, building materials and chemicals companies. Case descriptions are anonymised rewrites of typical situations rather than identifiable clients. Nothing here constitutes an endorsement or evaluation of any specific software product.
The above comes from what we see in real corporate diagnostics. If your company recognises itself here, we suggest a structured diagnostic session: two hours to map your exposure structure, policy gaps, instrument fit and funding arrangements in one pass, and to hand you an actionable sequence of next steps.
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