Jon Moshier
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Ski Industry Risk Management

How large ski operators like Vail and Alterra manage weather risk, and why the dominant tool is a pre-sold season pass rather than weather derivatives or insurance.

budding Started June 21, 2026 economicsmarketsplanning

A ski resort sells a product made of weather it does not control. Revenue tracks cumulative snowfall, the season is roughly 150 days, and a warm December can erase the most profitable weeks before they happen. The textbook answer to this is a weather derivative. The actual answer the largest operators reached is stranger: sell the whole season, non-refundable, in spring, before anyone knows whether it will snow.

The natural hedge is the season pass

Vail Resorts (NYSE: MTN) calls its core strategy “advance commitment.” Guests buy an Epic Pass at a steep discount in March for a season that starts in November, and the pass is non-refundable except under a separately purchased protection plan. For the 2025/26 season Vail entered the winter with roughly 2.3 million guests committed in advance, expected to generate about $1 billion of revenue and around 74% of all skier visits before the first lift spun.

That converts a weather bet into a subscription. The cash is collected and the visit is committed regardless of conditions, so a bad snow year hits visitation without fully hitting lift revenue. The 2025/26 season tested it directly: visitation fell about 13% on poor early conditions while net revenue fell only 4.7%, a gap consistent with the hedge working though price increases and spending mix account for part of it. Management’s reading was that “weather variability has reinforced our commitment to our advance commitment strategy.” This is a behavioral hedge, not a financial one. It works by moving the customer’s purchase decision to a date before the weather is known, the same logic as matching a known obligation in reverse: lock the cash flow first, let the weather land where it will.

What the pass does not cover

The hedge is partial and the gap is specific. A pass covers lift access. It does not cover the spending that only happens when a person is physically on the mountain. In the weak 2025/26 season Vail’s ski school revenue dropped about 12% and dining fell about 11.7% even as pass revenue held. Lessons, rentals, food, and lodging are the unhedged tail, and they are high-margin.

There is a second cost the model hides: it transfers weather risk to the customer. A passholder who paid in March and skied four bad days absorbed the loss. The pass is cheap because the buyer is now short the weather. Whether that is sustainable depends on whether buyers keep renewing after burned seasons, which is why pass renewal rate, not snowfall, is the metric Vail watches.

Diversification and its limit

Geography is the second tool, and the two giants pull it in opposite directions. Vail runs a breadth model: more than 40 owned-and-operated mountains feeding a pass that spans the Rockies, the Northeast, the Midwest “feeder” hills, Whistler Blackcomb in Canada, Crans-Montana in Switzerland, and three Australian resorts (Perisher, plus Falls Creek and Hotham acquired in 2019). The Australian holdings are genuinely counter-seasonal: they earn in the Northern Hemisphere’s summer. Alterra Mountain Company, private and owned by KSL Capital and the Henry Crown family, runs fewer, deeper destination resorts behind the Ikon Pass and adds targeted pieces like Arapahoe Basin in late 2024.

Diversification has a hard ceiling called basis risk, and the reason is a distinction worth keeping straight: diversifying is not hedging. Spreading across resorts lowers the variance of average snowfall, but only a payout that lands in your bad year actually offsets a loss, and that needs negative correlation. Three cases. Two mountains in the same range share storms, strongly positively correlated, so owning both barely diversifies. A Colorado resort and a Vermont resort are roughly uncorrelated: Vermont lowers portfolio variance but is a coin flip in any given dry-Colorado January, so it does not reliably offset the loss. The prize is a resort whose snow is negatively correlated with yours, snowy exactly when you are dry, which is what the ski-weather study means by the most valuable acquisition. Weather rarely supplies it, because the dominant risk is a broad warm winter that suppresses snow everywhere at once, pushing correlations toward positive in precisely the years you needed them negative. That same study concluded financial hedging may be the more effective tool for a multi-resort conglomerate, for exactly this reason: more mountains lowers variance but does not buy the negative correlation a real hedge requires.

Financial hedging: the path mostly not taken

Weather derivatives exist and fit the problem. They emerged in the US energy industry in 1996-97 and pay on an index, not a loss. A resort can buy a contract that pays out if cumulative January snowfall at a reference station falls below a strike, collecting cash exactly when low snow depresses ticket sales. Because the payout keys off measured snowfall rather than a damage claim, it is parametric: fast, no adjuster, no proof of loss.

The catch is the same basis risk. The payout is tied to a measuring station, not to the resort’s actual receipts. Snow can fall on the gauge and miss the slopes, or fall everywhere yet not on a weekend, leaving the hedge to pay nothing in a bad-for-business year or pay out in a good one. Research suggests narrower contracts, a single month rather than the whole season, hedge more precisely because they target the weeks that actually carry the revenue. The large public operators have largely chosen the advance-commitment model over standing derivative programs, partly because a pre-sold pass has no basis risk at all: it pays the resort’s exact revenue because it is the resort’s revenue.

Snowmaking is the physical hedge

The oldest answer is to manufacture the input. Snowmaking lets a resort open terrain and hold a base through warm spells, converting weather risk into a known cost of water, power, and capital. Coverage is the tell: Vail Mountain makes snow on only about 9% of its terrain, concentrated on the trails that get skiers from the village to the lifts. Snowmaking is a hedge against marginal weather, not against a warming climate, because it needs cold air to work. As wet-bulb temperatures rise, the window for making snow narrows, which is why snowmaking is a capital line item and not a solution.

Try it

Backtest the basis risk in a “diversified” portfolio (an afternoon, Python + NOAA data). Pull daily snowfall for two NOAA stations near real resorts from the NCEI GHCN-Daily archive: pick one pair in the same range (say two Colorado stations) and one pair across regions (Colorado vs Vermont). Aggregate to monthly totals and compute the correlation of December-March snowfall across years. You are looking for how weak the cross-region offset is and how strong the same-range correlation is. If the in-range pair correlates above ~0.6 and the cross-region pair sits near zero, you have reproduced the paper’s core point: owning two nearby mountains barely diversifies because their snow moves together, while distant ones are nearly uncorrelated, which spreads exposure but never pays you back in your own bad year. The hedge you actually want, snow that falls when yours fails, needs negative correlation, and that is rare.

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