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Trader Ferg — Ferg's Finds (Sep 1, 2026)

The weekly curation email, and the first Trader Ferg post in this archive — five short sections that all point the same way. Myrmikan Research on "AI Debt Failure Will Prompt Another Wave of Fed Bailouts" is the framing ("nothing like a good dose of history to help understand the present"); Paul Kedrosky supplies the mechanism in what Ferg calls "the best articulation of the danger of high multiples/valuations I've heard" — "at high valuations, failure is overdetermined in a statistical sense… given 20 different ways this could fail… there's greater than a 60% chance of failure… when your PE is 70failure is overdetermined" — plus a dated supply call, "unprecedented cash inflows into Taiwanese and Chinese chip manufacturers, with what looks like a tsunami of supply in early 2028… once you lock in supply, my friend, prices are going to zero." The Charts section is a missed trade written up as a set-up — "I'm annoyed I missed this! It was a perfect 'KOL delisting' set-up" — FM (iShares Frontier and Select EM ETF) delisted after its final session on Jan 6 2025, paying a $27.23 per-share liquidation distribution on Jan 9. And the closing section carries the actual portfolio decision: market-cap weighting is "incredibly efficient and is hard to beat," but it "reminds me of the same arguments made for 'just-in-time supply chains'can't beat them until something breaks; then resilience/redundancy is everything" — with EEM as the exhibit ("it's comical that it has 1,226 holdings yet allocates 27.61% to three companies"). The alternative is named and adopted: "my favourite approach is Meb Faber's shareholder yieldlittle opportunity cost and a fat margin of safety… it has outperformed and is what I plan to benchmark my portfolio against moving forward," with the valuation gap given as the clincher — "EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x… my view is that the above performance gap will continue to widen for years to come."
2026-SEP-01 · Trader Ferg (Substack) · Ferg · weekly curation post · ↗ Read · article text · actionable insights
One-line take: a curation email that is really one allocation decision plus the reasoning that produced itreplace market-cap weighting with shareholder yield (EYLD) as the passive default and the benchmark, on the argument that cap-weighting is efficient right up until it isn't. The valuation half of the case is borrowed, not asserted. Ferg does not make a bubble call in his own voice; he hands it to two sources. Myrmikan Research's "AI Debt Failure Will Prompt Another Wave of Fed Bailouts" supplies the historical arc — a debt-financed build-out that ends at the central bank's door — and Ferg's only comment is the method itself: "nothing like a good dose of history to help understand the present." Kedrosky supplies the statistics, and this is the passage Ferg flags as the best he has heard on the subject: "at high valuations, failure is overdetermined in a statistical sense, meaning that there are so many ways to fail, all of which are low likelihood—maybe 5% at most—that when you combine them all… given 20 different ways this could fail because we're at this precipice… an overdetermined system tells you that there's greater than a 60% chance of failure. So what looks not particularly risky or unpredictable is actually highly predictable… when your PE is 70… the market increasingly looks at it and says, 'How can this thing continue to outperform expectations?' And the answer is, whoops, it can't." The corollary is that a high multiple is not a risk to be sized around but a forecast: the number of independent ways to disappoint grows with the multiple, so the aggregate probability of failure goes to near-certainty even though no single failure path looks likely. The AI-specific version is a dated supply call: "the incredible and unprecedented cash inflows into Taiwanese and Chinese chip manufacturers, with what looks like a tsunami of supply in early 2028. And you know this is a boom-bust industry. So once you lock in supply, my friend, prices are going to zero. Why? Because I've got to cover my fixed costs. So this stuff is all going out the door." — capacity committed today prices product in 2028, and fixed-cost recovery guarantees it clears at any price. The construction critique is the bridge to the trade. "I'm pondering how market cap weighting became the optimal way to allocate capital passively. Yes, it is incredibly efficient and is hard to beat, yet it reminds me of the same arguments made for 'just-in-time supply chains.' Can't beat them until something breaks; then resilience/redundancy is everything." The exhibit is an emerging-markets fund whose diversification is nominal: "take EEM, where it's comical that it has 1,226 holdings yet allocates 27.61% to three companies." The answer is explicitly not a short. "This doesn't mean I want to take the other side of market cap weighting; I want to go long in a smarter, passive way. My favourite approach is Meb Faber's shareholder yield… I see little opportunity cost and a fat margin of safety in shareholder yield, as it has outperformed and is what I plan to benchmark my portfolio against moving forward." And the priced version: "what's even more impressive is that EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x. My view is that the above performance gap will continue to widen for years to come." The one pure-process item is the missed trade: "I'm annoyed I missed this! It was a perfect 'KOL delisting' set-up" — FM "was delisted after its final trading session on January 6, 2025. Trading was suspended before the market opened on January 7, and shareholders received the liquidation distribution of $27.23 per share on January 9, 2025" — followed by "a quick backtest." A fund unwinding at NAV is a known price on a known date; the discount before it is the trade. Also carried: a book-triage rule — "I just started Tomorrow's Gold (I have a rule: after a book is recommended three times, I read it!)" — and an Ian Cassel quote on the social cost of holding winners: "when you find a winner, people will say you are wrong. When you hold a winner, people will say you are stupid. When you get rich from a winner, people will say you got lucky."

1. Stocks & names mentioned

TickerNameResearchViewWhat he saidAt
EYLDCambria Emerging Shareholder Yield ETFQT · SA · STKPositiveThe one name Ferg is adopting — as both the passive allocation and the benchmark he will be measured against. The section that names it opens by ruling out the obvious alternative: "this doesn't mean I want to take the other side of market cap weighting; I want to go long in a smarter, passive way. My favourite approach is Meb Faber's shareholder yield." The endorsement is unusually committal for a curation email — "as I went over in my recent piece, I see little opportunity cost and a fat margin of safety in shareholder yield, as it has outperformed and is what I plan to benchmark my portfolio against moving forward." The valuation gap is offered as the reason it should keep working: "what's even more impressive is that EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x." Read against the Kedrosky passage earlier in the same post — where a high multiple makes failure "overdetermined" — a 9x forward multiple is the position at the opposite end of that distribution: few ways to disappoint, and the disappointment already priced. The forecast is explicit: "my view is that the above performance gap will continue to widen for years to come." (Note the pairing: EYLD is Cambria's emerging-markets shareholder-yield fund, and it appears in the same paragraph as the EEM critique — the same asset class, weighted by cash returned to shareholders rather than by market capitalization.)read ↗
EEMiShares MSCI Emerging Markets ETFQT · SA · STKNegativeCited as the exhibit for what is wrong with market-cap weighting — the diversification is nominal. "Take EEM, where it's comical that it has 1,226 holdings yet allocates 27.61% to three companies." The criticism is structural rather than a view on emerging markets themselves: an index that looks maximally diversified on a holdings count is, in economic terms, a concentrated three-name bet with 1,223 rounding errors attached. It sits inside the broader argument that opens the section — "I'm pondering how market cap weighting became the optimal way to allocate capital passively. Yes, it is incredibly efficient and is hard to beat, yet it reminds me of the same arguments made for 'just-in-time supply chains.' Can't beat them until something breaks; then resilience/redundancy is everything." Ferg is explicit that the conclusion is not to short it — "this doesn't mean I want to take the other side of market cap weighting" — but to hold the same asset class through a different weighting scheme (see EYLD).read ↗
SPYSPDR S&P 500 ETF TrustQT · SA · STKNeutralReferenced as the valuation comparator, not rated. "EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x" — the broad US market is the expensive side of the spread Ferg expects to widen in his favour ("my view is that the above performance gap will continue to widen for years to come"). No direct call on the index is made, but the Kedrosky material earlier in the post is the implied read on what a high starting multiple does to forward odds.read ↗
QQQInvesco QQQ Trust (Nasdaq-100)QT · SA · STK · FANeutralReferenced as the second valuation comparator — the most expensive leg of the spread. "EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x." As the concentrated large-cap technology index, it is also the closest listed proxy for the multiple Kedrosky is describing in the quoted passage ("when your PE is 70… failure is overdetermined") and for the 2028 chip-supply call ("once you lock in supply… prices are going to zero"). Not rated directly.read ↗

"View" is Ferg's stance in this post. Only EYLD is argued as a position; EEM is a construction critique (explicitly not a short — "this doesn't mean I want to take the other side of market cap weighting"), and SPY/QQQ are valuation comparators. Deliberately not rowed: the iShares Frontier and Select EM ETF, which Ferg discusses under its old ticker FM — the fund was delisted after its final session on 6 Jan 2025 and paid a $27.23/share liquidation distribution on 9 Jan 2025, so there is no security to track, and the symbol FM is already carried in this research hub for First Quantum Minerals (TSX). Rowing it would merge a wound-up ETF into a live copper miner's consolidated page. The set-up it illustrates is written up in the actionable insights (insight 3, "KOL delisting") and in the talking points below. Also referenced only: Myrmikan Research ("AI Debt Failure Will Prompt Another Wave of Fed Bailouts"), Paul Kedrosky (the quoted podcast/video), Marc Faber's Tomorrow's Gold, Meb Faber (shareholder yield), Ian Cassel (the quote; his unnamed new book), Taiwanese and Chinese chip manufacturers (as a group, no tickers given), and Hugo's Portfolio: 60/40 for the next Decade (Ferg's own prior piece). Research: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis.

2. Talking points

The format — a weekly curation email

Article/Research — Myrmikan on AI debt and the next round of bailouts

The book rule — three recommendations and it gets read

Podcast/Video — Kedrosky on overdetermined failure

The dated supply call — a chip tsunami in early 2028

Quote — Ian Cassel on the social cost of holding a winner

Charts — the FM liquidation, and the set-up he missed

Something I'm Pondering — is market-cap weighting just-in-time investing?

The exhibit — EEM's 1,226 holdings and its three real ones

The alternative — Meb Faber's shareholder yield, adopted as the benchmark

The price of the alternative — 9x against 20x and 22.5x

P.S. — the prior work this continues

3. In plain English

A jargon-free note on why each name is cited. (Companion to the table above; renders on each name's consolidated page.)

EYLD — Cambria Emerging Shareholder Yield ETF Positive

Almost every index fund you can buy weights its holdings by size: the bigger a company's stock-market value, the more of your money goes into it. That is what "market-cap weighting" means, and Ferg is upfront that it works — it is "incredibly efficient and is hard to beat." His worry is about why it works. He compares it to just-in-time supply chains, which were also unbeatable on cost right up until a shock arrived and everyone rediscovered the value of holding spare stock. His line: "can't beat them until something breaks; then resilience/redundancy is everything."

EYLD is his preferred alternative — Cambria's emerging-markets fund built on shareholder yield, an approach popularised by Meb Faber. Instead of asking "how big is this company?", shareholder yield asks "how much cash is this company actually handing back to its owners?" — dividends paid, shares bought back, and debt paid down, added together. The appeal is that all three are cash out the door: a company can massage reported profits, but it cannot fake money it has already sent to shareholders. Weighting by that measure naturally tilts you toward businesses that generate real cash and away from the ones whose weight comes from a soaring share price.

Ferg's endorsement goes further than "I like this." He writes that shareholder yield "has outperformed and is what I plan to benchmark my portfolio against moving forward" — he is making it the yardstick his own stock-picking has to beat. That is a meaningful commitment, because it means every discretionary position he takes now has to justify itself against a cheap, mechanical alternative he could own instead.

The clincher he offers is price. "EYLD sits on a forward PE of 9x, while SPY is 20x and QQQ is 22.5x" — a price-to-earnings ratio is roughly how many years of expected profit you are paying up front, so he is buying about nine years' worth where the US market costs twenty and the tech-heavy Nasdaq index costs twenty-two and a half. Set that against the Kedrosky passage he quotes earlier in the same email — that the higher the multiple, the more ways there are to disappoint, until failure becomes the likely outcome — and the two halves of the post fit together: the expensive side of that gap has many ways to go wrong, the cheap side has few. His forecast is that "the performance gap will continue to widen for years to come."

EEM — iShares MSCI Emerging Markets ETF Negative

EEM is the long-established way to own emerging-market shares in one ticket — China, Taiwan, India, Korea, Brazil and the rest, weighted by company size. Ferg uses it here not as a market call but as an illustration of a flaw in how such funds are built.

The number that does the work: the fund holds 1,226 different companies, yet 27.61% of the money sits in just three of them. He calls that "comical," and the point is precise rather than rhetorical. A holdings count of 1,226 sounds like the safest diversification money can buy; in practice more than a quarter of the fund's fate rests on three names, while the other 1,223 collectively barely move the needle. If any of those three stumbles, the "diversified" fund takes the hit anyway.

How this happens is not a mistake — it is the design. Weighting by market value means that as a stock rises, the fund automatically owns more of it, and the biggest winners keep compounding into a larger and larger share. That is exactly the behaviour Ferg likens to just-in-time logistics: maximally efficient, with no redundancy built in, and fine until something breaks.

Importantly, he is not recommending a bet against it. "This doesn't mean I want to take the other side of market cap weighting; I want to go long in a smarter, passive way." The conclusion is to own the same asset class through a different weighting rule — which is where EYLD, an emerging-markets fund weighted by cash returned to shareholders instead of by size, comes in. The practical takeaway for anyone screening funds: judge diversification by the weight of the top few positions, not by how many holdings the fact sheet advertises.

The FM liquidation — iShares Frontier and Select EM ETF Referenced (no live security)

FM no longer exists — and that is the reason it is in the post. It was BlackRock's fund for frontier markets (the smaller, less-liquid economies that sit a rung below the emerging markets), and it was wound up: its last trading session was 6 January 2025, trading was suspended before the open on 7 January, and holders were paid a liquidation distribution of $27.23 a share on 9 January.

Ferg's reaction is regret at missing a trade, not a view on frontier markets: "I'm annoyed I missed this! It was a perfect 'KOL delisting' set-up." The set-up he means works like this. When a fund announces it is shutting down, it must sell everything and hand the cash back at whatever the holdings are worth — net asset value — on a date that is published in advance. So the final payout is close to knowable, while the fund's own share price in its last weeks is set by whoever still wants to trade it. Holders who need out — index funds that can no longer hold it, investors who do not want to wait for the cash — sell in a thinning market, and the price can slip below the cash that is about to be paid. Buying that gap is the trade, and it settles on a fixed date rather than depending on anything going right.

The detail that makes it more than an anecdote is the sentence after: "a quick backtest…." He did not just notice the pattern once — he tested it across history, which is what turns a one-off observation into a screen worth running the next time a fund announces its own liquidation.


Summary derived from the free/public section of the Trader Ferg Substack post (text in transcript.txt; embedded charts and screenshots not reproduced). For personal study. Not investment advice. © Trader Ferg for source material.