The Market Isn't Just Expensive. It's Dependent.

Valuation is the wrong frame.

Not because it doesn't matter. Because it doesn't tell you what the market is depending on.

Right now, the market is depending on earnings velocity.

Yardeni Research recently raised its 2026 year-end S&P 500 target from 7,700 to 8,250 — a 7.1% increase — citing unusually strong upward momentum in forward earnings expectations. They're not calling it a fear-of-missing-out market. They're calling it an earnings-led meltup. That's a different diagnosis.

Goldman Sachs, the custodian for our ASYMMETRY^® | Managed Portfolios,  is pointing to the same condition. In its Midday Market Intelligence note, Goldman framed the market as "Earnings or bust," with 2026 S&P 500 EPS growth estimated at 24%, driven largely by AI enablers, and 2027 EPS growth expected to slow to 13%. Its chart showed the S&P 500 price rising 10% year-to-date, forward 12-month EPS rising 15%, and the forward P/E falling 4%. This advance has been more earnings-confirmed than multiple-driven.

A market rising because investors are willing to pay more for the same earnings leans on belief. A market rising while earnings expectations are being revised higher has fundamental confirmation underneath it.

Those aren't the same risk.

The first depends on sentiment staying constructive. The second depends on earnings continuing to confirm the move. Both can fail. But they fail differently, and the distinction matters for where you draw the risk boundary.

The mistake is treating valuation as the whole story. Expensive markets can keep working longer than expected when earnings revisions are strong, liquidity is available, participation is broad enough, and underexposed investors are forced to adjust. Valuation tells you what investors are paying. Earnings velocity tells you whether the market has earnings confirmation behind it.

Right now, it does.

AI is the obvious headline, but the deeper issue is whether the earnings power tied to AI infrastructure, data centers, semiconductors, hyperscalers, power demand, and adjacent capital spending keeps translating into higher forward earnings expectations. If that continues, the market can stay stronger than valuation-only analysis would suggest.

But dependency cuts both ways.

When earnings revisions carry the market, earnings revisions become the failure point. If expectations flatten while prices keep pressing higher, the risk/reward changes quickly. The market can shift from earnings-confirmed upside to crowded exposure with less support underneath it.

That's where asymmetric risk starts building.

"Bubble" is too blunt for this. It may become one. It may not. The more useful observation is that the market's support has narrowed around a specific condition: earnings must keep validating price.

For a business owner, founder, executive, or family managing meaningful capital, that's the part worth paying attention to. The question isn't whether the S&P 500 is expensive in isolation. The question is whether the portfolio is quietly becoming more dependent on the same earnings story everyone else now believes.

That's how portfolio risk hides.

It doesn't show up as obvious leverage. It shows up as overlapping exposure — the same AI-linked earnings assumptions embedded inside growth funds, index funds, technology exposure, semiconductor exposure, and mega-cap equity. Positions may look different on a statement while depending on the same condition underneath.

That isn't diversification. It's repeated dependency.

The ASYMMETRY^® view is to respect the trend without surrendering the risk boundary. Strong earnings momentum can persist. Markets can get more expensive before they get vulnerable. But the mission is to know what would prove the exposure wrong before the market forces the answer.

If earnings revisions keep rising, price trend holds, and participation expands beyond the obvious AI beneficiaries, the risk/reward can remain constructive.

If earnings revisions stall, participation narrows, and prices keep moving on momentum alone, the risk boundary tightens fast.

That's the condition to monitor.

The market isn't just expensive. It's dependent. It depends on earnings velocity continuing to justify price. As long as that confirmation holds, fighting the trend can be costly. Once that confirmation weakens, downside can get convex quickly because investors have already crowded into the same story.

That's why portfolio management matters more here than market opinion.

For us, that means participating where price, earnings, and risk/reward remain aligned, while controlling position size, exit points, and portfolio risk. Upside matters. So does knowing exactly where the argument breaks.

Markets don't usually punish investors for being wrong in theory.

They punish investors for having too much exposure to one dependency when that dependency finally fails.

Mike Shell is the founder and chief investment officer of Shell Capital Management, LLC, a registered investment adviser. He serves as portfolio manager of ASYMMETRY® Managed Portfolios, a separately managed account program with trade execution and custody provided by Goldman Sachs Custody Solutions.

ASYMMETRY® Observations are provided for general informational and educational purposes only. They do not constitute investment advice, a recommendation, or an offer to buy or sell any security or investment strategy. The content is not intended to be a complete description of Shell Capital’s investment process and should not be relied upon as the sole basis for any investment decision.

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