Electricity Futures

Also known as: Power futures, Baseload/peakload contracts, PPA (cousin)

Futures on the one commodity that cannot be stored — where prices go negative at noon and 100× at dinnertime.

5 min read · 978 words · Updated

1 · SnapshotThe one idea to remember
Key intuition: no storage means no cost-of-carry arbitrage tying futures to spot. A power future is not "spot plus interest" — it is a pure expectation of future scarcity, which is why power curves have shapes no oil trader would recognise.
2 · BeginnerWhat is it, really?

Electricity breaks the rule every other commodity obeys. You cannot store it — not at any sensible cost — so it has to be made in the same second somebody uses it. Supply and demand cannot be balanced by a warehouse. They have to match continuously, all day, every day.

That does strange things to the price. On a sunny, windy Sunday lunchtime there is more power than anyone needs, and the price goes below zero: producers pay you to take it away. In a cold snap the opposite happens. In Texas in February 2021 the price went from about $30 to the market's ceiling of $9,000 per megawatt-hour, and stayed there for days.

Nobody can trade that. So the real market is built on averages instead. A power future settles against the average price over a whole month, quarter or year of delivery. There are two standard shapes. Baseload covers every hour. Peakload covers only business hours, when demand and prices bunch up. A German "Cal-26 baseload" contract fixes today what the average of every single hour of 2026 will cost.

Everyone along the chain needs this. Power stations sell years of output ahead of time — the same instinct as the carbon allowance hedging story. Factories fix their electricity bill so they can price their own products. Energy suppliers who sold customers a fixed tariff have to buy the power to honour it. And since prices went up roughly tenfold in the 2021–22 energy crisis, so does every finance director who was not paying attention before.

Settles on the average spot price over the delivery period — linear like any future, on an underlying wilder than any other.
F₀Long baseload futureUnderlying price at expiryProfit / loss

Point at a line to pick it out from the others.

Fixing the price of power you have already promised to sell
The suppliersells to householdsThe generatorsells forward1A price for a block ofhours2The difference against thespot price3The difference, when poweris cheap4Customers do not use theblock you bought

a paymentonly if a condition is metnot a payment

A retail supplier sells at a fixed tariff and buys at a price that can go anywhere. This is how it closes that gap — and how the gap reopens.

At the trade

  1. The supplier → The generator The unit is megawatt hours delivered evenly across a defined period — every hour of it for baseload, working daytime hours only for peak.

Through the delivery period

  1. The generator → The supplier Settled hour by hour. When power is dear the supplier is paid, which is exactly what its fixed tariff needs.
  2. The supplier → The generator The hedge costs money in the good months. That is not a failure of the hedge; it is the price of the certainty.

Where the gap reopens

  1. The supplier → The generator Hedges are bought in shaped blocks; consumption is weather and behaviour. The unhedged remainder is bought at the imbalance price, which is where retail energy suppliers fail.
Why the physical system still has to balanceafter the trade
The supplierGrid operatorbalances in real timeThe generator2Imbalance charges1Generation must equalconsumption

only if a condition is metnot a payment

Every second

  1. The generator → Grid operator Electricity cannot be stored in any useful quantity, so somebody has to produce exactly what is used. The financial contract does not do that.

After the fact

  1. The supplier → Grid operator A supplier whose position did not match what its customers actually used pays the difference at the imbalance price, which can be extreme and, in some markets, negative.
Asset class
Commodities (energy)
Instrument type
Futures on average power prices per delivery period
Traded
EEX, Nasdaq Commodities, ICE; national hubs
Typical users
Utilities, industrials, energy traders, funds

Which risks decide the outcome

Not how risky this is, and not a rating — there is deliberately no total. It says which of five failure modes drives what happens here, in the same order on all 129 products so they can be compared. This publication's own reading; see the notice below.

  • Marketdecides it
  • Creditbarely applies
  • Liquiditymatters
  • Fundingmatters
  • Operationaldecides it

What decides it here. Power cannot be stored, so the contract is on a block of hours and the remainder is bought at an imbalance price that can be extreme — or negative.

What the five mean, and which one decides where →

3 · IntermediateHow it works in practice

Pricing without storage

For storable commodities, cash-and-carry pins the curve. For power, the future prices expected spot plus a risk premium:

$$ F_{T} = \mathbb{E}[\bar{S}_{T}] + \pi_{\text{risk}}, \qquad \bar{S}_T = \text{average spot over delivery} $$
What the symbols mean
  • Fthe forward or futures price
  • Tmaturity, in years
  • Ean expected value
  • Sthe price of the underlying today
  • pia probability, or a profit, depending on the line above

with the expectation built from fundamentals: the merit order (which plant sets the marginal price at each demand level), fuel and carbon costs, renewable buildout, plant retirements, interconnector flows. The marginal-cost anchor makes power a derivative of other commodities: in most European hours a gas plant sets the price, so power ≈ gas/efficiency + carbon×intensity — the spark spread arithmetic from the fuel-switching calculator, running the grid in real time.

The spreads that organise the market

  • Spark / dark spread: power price minus gas/coal cost — a gas or coal plant's margin, tradable as a package; "clean" versions subtract carbon.
  • Peak/off-peak: the daily shape. Solar buildout has famously hollowed out midday prices (the "duck curve"), turning the old peak into a valley.
  • Geographic spreads: national hubs (German, Nordic, French power) diverge with interconnector limits — France's 2022 nuclear outages sent French-German spreads to historic extremes.
  • Cap products: futures on price caps/spikes for retailers hedging scarcity events.

The margin-call lesson of 2022

Futures hedging works on margin — and when European power rose 10×, utilities' short hedges (against physical generation they genuinely owned) generated margin calls in the tens of billions before the offsetting physical revenue arrived. Governments extended emergency credit lines to solvent-but-illiquid utilities across Europe. The hedge was right; the liquidity design wasn't.

Worked example: a municipal utility fixed customer tariffs for 2023 and hedged by buying Cal-23 baseload at €90/MWh in 2021. Through 2022 the contract marked up to €500+ — paper gains, margin received. A competitor that skipped the hedge had to buy 2023 power at €300+ against €120 tariffs: insolvency. Same tariffs, same market — the futures position was the entire difference between embarrassment and bankruptcy.
4 · AdvancedPricing & valuation

Modelling an unstorable underlying

Power spot demands its own process family: mean-reverting diffusions with jumps and spikes (fast reversion after scarcity events), regime-switching models (normal vs. scarcity states), and structural "stack" models that simulate the merit order directly. The workhorse reduced form:

$$ dS_t = \kappa(\mu_t - S_t)\,dt + \sigma\,dW_t + J\,dN_t $$
What the symbols mean
  • Sthe price of the underlying today
  • ta point in time
  • muthe average, or expected, return
  • sigmavolatility, the standard deviation of returns
  • Nthe normal distribution, or a count

with seasonal mean \(\mu_t\) (daily, weekly, annual cycles) and jump process \(N\). Negative prices force arithmetic rather than geometric dynamics. Averaging into delivery periods tames the spikes at the futures level — but option books on hourly shapes live with the full distribution, which is why power optionality (physical assets, cap contracts) is priced with structural models, not Black–Scholes cosplay.

The renewables transformation of the curve

  • Cannibalisation: solar depresses prices exactly when solar produces — each added panel lowers the capture price of all panels. Capture rates (achieved/baseload price) are now the key number in renewable finance.
  • Shape risk migration: as intermittency grows, value shifts from average price to flexibility — batteries and peakers monetise spreads between hours, and intraday/balancing markets trade what futures can't reach.
  • Negative-price economics: subsidised generation with production-based payments bids negative rationally; hours below zero (record-setting each year in Germany) redistribute value to flexible demand and storage.

PPAs — the futures market's shadow twin

Corporate power purchase agreements (a datacenter buying 15 years of a wind farm's output at fixed price) are bespoke long-dated forwards beyond exchange horizons. They price off the futures curve where it exists, plus basis (location, profile/shape, volume risk) modelled off it where it doesn't — the liquid curve is the pricing spine for a contract market now financing most new renewable construction. The AI-datacenter demand wave has turned long-dated power — for two decades a sleepy market — into one of the most-watched curves in commodities.

The formulas above are standard textbook formulations, simplified for teaching. They explain the mechanism — they are not a valuation tool, and they will not reproduce a dealer’s price.

5 · Desk notesHow practitioners think about it
Practitioner note: never analyse a power future like a storable commodity. The questions are: what sets the marginal price in the delivery hours (fuel + carbon math), what's the capture/shape exposure versus baseload, and who bears the volume risk when the wind doesn't blow. Average price is the headline; shape and scarcity are the P&L.

Now say it back

Close the page and give Electricity Futures in four sentences. It takes a minute and it is the only way to find out whether reading it was enough.

  1. Who wants what — two parties wanted opposite things badly enough to write it down.
  2. What the contract obliges, and when — not the payoff; the obligation.
  3. Where the money comes from — name the source, or you have described a hope.
  4. What makes it lose — the ordinary way, not the dramatic one.

Do it with a clock → · why these four

Put Electricity Futures beside any other instrument →

Where this instrument shows up elsewhere

  • MediumNegative Oil, April 2020Case StudiesFor one afternoon a barrel of oil was worth minus thirty-seven dollars — not because demand vanished, but because…
  • MediumWhich Desk Trades WhatPrepEleven trading seats and six that sit next to them: what each one actually touches, the single number it lives by,…

Information and education only. Every page, figure and calculator on this site exists to explain how financial instruments work. Nothing here is investment, tax or legal advice, a recommendation, or a valuation you can rely on. Full disclaimer