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Actionable insights — Has the Sun Already Set on American Market Exceptionalism?

The repeatable analysis behind a short allocation Daily: not that Hay prefers international equities, but how to concede the opposing case before arguing against it, how to read cross-style manager underperformance as a statement about index concentration, how to audit a relayed performance table before quoting it, how to use the "underperformed despite record support" test to isolate flow as the only prop, and how to locate the forced seller before sizing the downside — written so each step can be rerun on the next crowded market.
2026-SEP-02 · Haymaker (Substack newsletter, paid) · The Haymaker Team / David Hay · Haymaker Daily · ↗ Read · full analysis · article text
How to read this page: each insight is a method — how a relative-performance observation and a flow chart get turned into an allocation shift out of a home index and into foreign markets. The boxed line shows how it played out in this Daily. (Written newsletter — the "read" link opens the source post, and there are no timestamps.) The organising idea is argument by anomaly: grant every supportive fact about the asset you are cautious on, then build the case entirely out of the things that should be true and aren't.

1. Concede the strongest version of the bull case before you argue — and test breadth with the equal-weight index, not with intuition

The repeatable method
  1. Before making a cautionary case on an index, write down the two or three facts a defender would lead with, and check each one on data rather than assuming it favours you.
  2. Test breadth specifically, because "it's only a few stocks" is the most-used and least-checked bearish claim. Compare the cap-weighted index against its equal-weighted twin over the same period: if equal-weight is level or ahead, the advance is genuinely broad and the narrowness argument is unavailable to you.
  3. State the concession plainly and in the bulls' own units — total return, not price return — so it cannot be read as a grudging aside.
  4. Now build the case only from what survives. An argument that has already given away the easy points is much harder to dismiss, and it forces you onto the evidence that actually matters.
  5. Treat the concession as a live falsifier, not rhetoric: if breadth were to keep improving while the relative trend against foreign markets reversed, the thesis is wrong and should be dropped.
Here: everything a bull would say, granted up front — "the S&P 500 is up roughly 12 ½% this year on a total return basis. Moreover, this year's advance has been broader than in the past. The equally weighted S&P index is actually slightly ahead of that most respectable number." That single equal-weight check retires the narrow-breadth objection before it is raised, so the rest of the note has to run on relative performance and flows — which it does.
Watch for

2. When every investing style underperforms at once, the finding is about the index, not about the managers

The repeatable method
  1. Assemble a sample of well-known managers whose results are publicly observable, chosen to span approaches — growth, deep value, quality-compounding, activist, levered proxy — not chosen for being wrong.
  2. Compare each to the benchmark over the same window. Note whether the shortfalls cluster by style.
  3. If they cluster, the explanation is a style rotation and says little about the index. If they do not cluster — if every style trails — the common factor is something only the benchmark holds. That is the informative case.
  4. Name the thing the index has that discretionary portfolios structurally cannot match: normally a concentration in a handful of names that would breach any active manager's risk limits or valuation discipline.
  5. Convert that into a fragility statement rather than a performance complaint. The index is winning because of a concentration, which means its lead depends on that concentration continuing to work.
Here: the sample spans the map — growth (ARKK, Cathie Wood), value (GLRE, David Einhorn; PSH, Bill Ackman), quality compounding (BRK.B), activist (IEP, Carl Icahn) and levered proxy (MSTR, Michael Saylor) — and Hay draws attention to exactly the non-clustering: "it is interesting that both growth- (Cathie Wood) and value-oriented investors (David Einhorn and Bill Ackman) are lagging." Every one of them trails SPY's +12.6%, by 4 to 32 points. The unstated inference is the one that matters: the index's edge is a position size no active manager would take.
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3. Audit a relayed performance table before you quote it — share price is not NAV, and the gap is the story

The repeatable method
  1. Establish provenance explicitly: who compiled the data, who relayed it to you, and as of what date. Put all three in the text so a reader can re-derive it.
  2. Read the footnotes before the numbers. For listed funds and holding companies, ask whether the return quoted is the share/unit price return or the net asset value return — they are different figures and can move in opposite directions.
  3. Where both are available, quote the divergence rather than picking the flattering one. A share return better than NAV means the discount narrowed; worse means it widened. That is information about sentiment toward the vehicle, separate from the manager's results.
  4. Note listing venue and structure — a Euronext-listed closed-end fund, a Nasdaq-listed LP and an NYSE-listed reinsurer are not comparable instruments even when the table lines them up.
  5. Label the sample honestly. A handful of celebrity vehicles is an illustration; do not present it as a study, and do not draw a stance on any individual name from it.
Here: provenance is given in full — the table is from @AskLivermore, "relayed to Team Haymaker by our Kiwi friend Trader Ferg," as of Aug 28, 2026 — and disclaimed as "a small sampling of celebrity investors." Its footnote carries the audit: "fund NAV returns may differ from stock price returns due to discounts/premiums," with the worked case being Ackman — "Pershing Square NAV return was −7.1% as of Aug 18" against a quoted −0.8% unit return, i.e. the discount narrowed while the portfolio fell. Venue is disclosed too (PSH on Euronext Amsterdam, IEP and MSTR on Nasdaq, BRK.B and GLRE on NYSE).
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4. The strongest bear signal is an asset that underperforms while receiving its largest-ever support — state the anomaly as a surprise, then treat the support as the only prop

The repeatable method
  1. Identify the asset's principal source of support and quantify it — flows, buybacks, official purchases, index inclusion — over the same window as the performance you are measuring.
  2. Measure relative performance against the obvious alternative over that window, and date the turn rather than describing it loosely.
  3. Now check the sign of the relationship. Outperformance on record support tells you nothing. Underperformance on record support is the anomaly, and it is the one worth acting on.
  4. Say out loud that it is surprising. Flagging the fact that undercuts the easy narrative is what makes the inference credible — and it forces you to consider whether the measurement is wrong before concluding the market is.
  5. Draw the conclusion in the correct direction: if the asset can only tread water while its largest-ever inflow arrives, the inflow is doing all the work, and the fair question is what the price is without it.
  6. Size the reversal risk from the flow's own scale — the bigger the inflow that was required to produce a flat relative line, the bigger the outflow's effect.
Here: the performance leg — per Gerard Minack, "the U.S. market itself has been lagging overseas indexes since the start of 2025" (MSCI US vs MSCI All Country ex-US, total return, with the relative peak in early 2025). The support leg — "mammoth inflows into U.S. equities due to the AI boom/mania" and, via Michael Hartnett's BofA chart, tech-fund flows on pace for a record ~$216bn in 2026 against a prior ceiling near $80bn. And the anomaly named as such: "this is surprising." The conclusion falls straight out — "already underperforming U.S. shares will trail overseas markets to an even greater extent should — we'd argue, when — these epic inflows shift into outflows."
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5. Before sizing a downside, find the holder who cannot choose — the forced seller sets the shape of the decline

The repeatable method
  1. Ask who owns the marginal share, and what that owner's mandate permits when money is withdrawn. Discretionary holders can raise cash, delay, or sell something else; passive vehicles cannot.
  2. Check whether the vehicle that absorbed the inflow is the same one that must liquidate on the outflow. When it is, the flow is reflexive in both directions and the reversal is not symmetric with an ordinary correction.
  3. Check what that vehicle holds most of. A cap-weighted fund sells in proportion to weight, so the largest and most crowded positions take the largest absolute selling.
  4. Overlay the crowding: if the same names are the largest weight in the passive vehicle and the consensus overweight elsewhere, there is no natural buyer at the margin.
  5. Position on the relative trade rather than an outright short — the mechanism argues that the concentrated home index underperforms the alternative, which is a cleaner expression than betting on the timing of a decline.
Here: the forced seller is named precisely — the pressure lands on "the fully invested U.S. index funds which are also highly concentrated in AI-related shares." Both halves are load-bearing: fully invested means no cash buffer to meet redemptions, and highly concentrated means the forced sales land on the most-owned names in the market. And the expression Hay chooses is relative, not outright — US shares trailing overseas markets — which is the same trade as the standing international bias he restates: "we have been bullish on international markets in recent years."
Watch for

6. Read consensus positioning as the trade, and enter a rotation while it is still unnoticed

The repeatable method
  1. Separate the two questions a crowded market poses: is the asset expensive, and is it owned? Positioning data answers the second and is the more actionable of the two, because valuation can stay stretched indefinitely while positioning cannot get more extreme than fully invested.
  2. Measure the home-country bias directly — how underweight domestic investors are in foreign markets relative to those markets' share of global capitalisation.
  3. Look for the combination of extreme home bias plus a relative trend that has already turned. Positioning alone is not a timing tool; positioning against a turn that has begun is.
  4. Prefer being early into a rotation that is under-recognised over waiting for confirmation, and say explicitly that it has already started rather than forecasting it — the claim is then checkable.
  5. Build the shopping list before the flow arrives. The names worth owning in a rotation are researched in advance, not chased once the move is visible.
Here: the positioning read — "reflecting this intense crowding into domestic tech, American investors remain dramatically underweight foreign markets" — paired with the already-turned trend from Minack's chart. The claim is deliberately present-tense and falsifiable: "few seem to realize the long-overdue rotation into international equities is well underway." And the preparation is stated: "we have a long list of what we believe are attractive overseas stocks populating our coverage universe" — the list is withheld from this note, so the actionable step for a reader is to build one, not to buy anything named here.
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Methods distilled from the paid Haymaker Daily of 2026-SEP-02 (article text in transcript.txt) for personal study. Written post — no video and no timestamps. Not investment advice. © Haymaker / David Hay for source material.