Scenario Valuation: Bear, base, and bull instead of a single guess
Worked example: Meta Platforms — 2022
By James Ward
TL;DR: Scenario valuation runs your methods under three coherent cases, bear, base, and bull, instead of producing a single point estimate. Every valuation input is really a range, and a point estimate hides that range behind false precision. The bear case assumes conservative growth, margin compression, and a lower exit multiple; the base case is the most likely path grounded in the company's history; the bull case assumes the advantages play out but stays plausible. The read is what matters. If even the bear case comes in below the current price, there is a wide margin of safety and you are protected when things go wrong. If only the bull case reaches the current price, the stock is pricing in best-case outcomes across every input at once, with no room for error. The discipline is keeping each case coherent: a bear case is not just lower numbers dropped into every cell independently, it is a believable world where slower growth brings the margin pressure that naturally comes with it. Size the position to the bear case, not the bull, because the downside case is where the margin of safety earns its keep.
A single valuation number is a quiet lie. It takes a dozen uncertain assumptions, growth, margins, the multiple, the discount rate, and collapses them into one confident figure that conceals how much could go differently. Scenario valuation refuses the collapse. Instead of asking "what is this business worth," it asks "what is this business worth if things go badly, if things go as expected, and if things go well," and then reads the spread between those answers. The spread is the real information. It tells you how much the market has already priced in, how much room there is for error, and where, exactly, your protection lives.
The concept in 60 seconds
Run the valuation methods three times under three coherent cases:
| Case | What it assumes |
|---|---|
| Bear | Conservative growth, margin compression, a lower exit multiple |
| Base | The most likely path, grounded in the ten-year history |
| Bull | The advantage plays out, but the assumptions stay plausible |
Then read the output:
- If the bear case still comes in below the current price, there is a wide margin of safety. You are protected even if things go wrong.
- If the bull case barely reaches the current price, the stock is pricing in best-case outcomes across every input at once, with little room for error.
- The gap between bear and bull is the realistic valuation range. A point estimate hides it entirely.
Mental model
Think of a weather forecast. A responsible forecaster does not tell you it will be exactly seventeen degrees next Tuesday. They give you a range and a most-likely value, because the further out the forecast, the wider the honest range becomes. Pretending to a single precise temperature would be less useful, not more, because it would hide the uncertainty you actually need to plan around.
A valuation is a forecast of cash flows, and it deserves the same honesty. The bear, base, and bull cases are the range; the base is the most likely value within it. What you do with the range is the whole point. You do not pack for the most likely temperature and ignore the chance of a storm. You prepare for the bad case, which in investing means sizing your position so that even the bear outcome leaves you intact. The forecast informs the decision; the downside case sizes it.
Worked example: Meta Platforms, 2022
In late 2022, Meta's stock had fallen by roughly two-thirds. The market was effectively pricing a bear case: that heavy spending on an unproven metaverse vision would burn cash indefinitely while the core advertising business stagnated or declined.
Scenario valuation at that moment would have laid the cases out explicitly. The bear case assumed continued ad weakness and uncontrolled spending; even so, the enormous, cash-generative advertising franchise underneath put a floor on the value. The base case assumed advertising stabilized and spending came under some discipline, grounded in the company's long history of high margins and growth. The bull case assumed advertising reaccelerated and the spending either paid off or was reined in.
The instructive part was the spread. The price sat near the bear case, which meant the base and bull outcomes were largely unpriced. An investor did not need to believe the bull case to find the situation attractive; they only needed to judge that the bear case was too pessimistic about a dominant advertising business. Pairing this with a reverse DCF would have shown the same thing from the other side: the implied expectation embedded in the price was a near-permanent impairment that the business's history did not support.
Historical pattern
The widest margins of safety in market history have appeared exactly when prices collapsed to the bear case while the base and bull outcomes went unpriced. Fear compresses a stock to its worst plausible scenario, and occasionally past it, and the investor who has laid out the cases in advance can see that the downside is already in the price. The discipline is having done the work before the panic, so that when the price arrives at the bear case you recognize it rather than joining the panic.
The opposite pattern is the bull-case purchase. A stock is bought because the optimistic scenario is exciting, with no examination of what happens if the base or bear case plays out instead. When the merely-ordinary outcome arrives, the price falls, because it had been set to the bull case and only the bull case. Most permanent losses on good businesses trace back to paying the bull-case price.
Decision framework
- Run intrinsic value and DCF and earnings power value under each case, not once.
- Weight the cases informally by plausibility. If the base and bear both clear the price, conviction is high. If only the bull clears it, the thesis depends on perfection.
- Pair with a reverse DCF. The market's implied expectation is effectively the scenario the current price is betting on.
- Size the position to the bear case, not the bull. The downside case is where the margin of safety earns its keep.
Common mistakes
- Bull-anchoring. Setting the base case just a notch below the bull and labeling the bull "upside" quietly imports optimism throughout. The base should be the genuine most-likely path, not a lightly discounted dream.
- Uncorrelated optimism. Assuming best-case growth and best-case margin and best-case multiple all at once. These rarely converge in reality; a coherent bull case does not stack every favorable assumption independently.
- Treating the base as certainty. The base case is the most likely single path, not a guarantee. The bear case is not a formality; it is the scenario you size against.
- Incoherent cells. A real bear case is a believable world, where slower growth brings the margin pressure that accompanies it, not just lower numbers dropped into each cell at random.
How VI Stack uses this
VI Stack runs valuations as bear, base, and bull cases rather than single point estimates in Gate 4. The system keeps each case coherent, so a bear case carries the margin pressure that slower growth implies rather than independently lowered cells, and it sizes the resulting position against the bear case rather than the base or bull. Paired with the reverse DCF, which reveals the scenario the current price is already betting on, this makes the margin of safety explicit: a thesis qualifies for a full position only when the downside case is survivable.
What's next
Scenario valuation shows you the range and where the downside sits. Margin of Safety is the discipline of sizing and pricing against that bear case, and Reverse DCF reveals the scenario the market itself is pricing in. To see how all the methods combine into one process, return to the Valuation Framework.
FAQ
What is scenario valuation?
Scenario valuation is the practice of valuing a business under three coherent cases, bear, base, and bull, instead of producing a single point estimate. The bear case assumes conservative growth and margin pressure, the base case is the most likely path grounded in the company's history, and the bull case assumes its advantages play out while staying plausible. Running the methods under each case produces a realistic valuation range rather than one falsely precise number, and the spread between the cases reveals how much the market has already priced in.
How do I read a bear, base, and bull valuation?
Compare each case to the current price. If even the bear case sits below the price, there is a wide margin of safety and you are protected when things go wrong. If only the bull case reaches the price, the market is pricing in best-case outcomes across every input, leaving no room for error. The base case tells you the most likely value, but the bear case is the one to act on, because it shows what you are exposed to if the optimistic assumptions fail.
Should I weight the scenarios by probability?
Informally, yes. You can assign rough probabilities to each case to produce a weighted value, but the more important judgment is qualitative: do the base and bear cases both clear the price, or does only the bull? When the conservative cases already justify the price, conviction is high. When only the optimistic case does, the thesis depends on perfection. Precise probability weights add a veneer of accuracy that the underlying uncertainty does not support, so use them as a guide, not a formula.
What does it mean to keep a scenario coherent?
A coherent scenario is a believable world, not a spreadsheet with independently adjusted cells. A real bear case assumes slower growth and the margin compression and lower multiple that naturally accompany it, because those things tend to move together. Incoherent scenarios, such as a bull case that stacks best-case growth, best-case margins, and a best-case multiple all at once, produce ranges that overstate both the upside and the downside, because such combinations rarely occur together in reality.
Why size a position to the bear case?
Because the bear case is what you are exposed to if your optimistic assumptions are wrong, and protecting against that exposure is the entire purpose of a margin of safety. Sizing to the base or bull case means a disappointing but realistic outcome can cause a serious loss. Sizing to the bear case means that even when things go badly, the position is survivable, which keeps you solvent and able to compound through the cycles that eventually arrive.
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