← Analysis page  ·  Jay Singh hub  ·  Research hub

Actionable insights — 50 new hedge fund pitches (Q2-2026 fund-letter compilation)

The repeatable methods described by the pitching funds, not by Jay Singh: how to read a compilation of other people's ideas without borrowing their conviction, how to buy a company because a short-seller attacked it, how to price a rights offering designed to punish passivity, how to screen a controlling-family capital structure for a forced seller, how to test whether an AI-disruption story survives contact with the customer, and how to spot a real-estate business that is actually a software business.
2026-AUG-03 · SSR subscriber distribution — written PDF, no call and no recording · Compiled by Special Situations Report (Jay Singh); methods belong to the named funds · ▶ Source PDF · full analysis · notes
How to read this page: each insight is a method — the trigger that put a manager onto an idea, the steps that turned it into a position, and the signal to monitor when re-running it. The boxed line shows how it played out in this compilation. Provenance: everything below is drawn from the Q2-2026 letters of the named funds as compiled by SSR; none of it is Jay Singh's own process, and where a method contradicts his book that is flagged. There is no recording, so references are plain text rather than deep-links.

1. Read a fund-letter compilation for clusters, not for names

The repeatable method
  1. Do not treat a compilation as a buy list. Fifty pitches from fifty managers is a survey of positioning, not fifty recommendations that survived one analyst's judgement. Its usefulness is aggregate.
  2. Bucket the pitches by theme before reading any single one and count. A theme carrying eight or nine of fifty names is telling you where professional money already sits — which is information about crowding, and therefore about who has to sell if the theme breaks.
  3. Flag duplicates explicitly. A name pitched twice by unrelated funds in the same quarter is either an unusually clear opportunity or an unusually consensus one. Either way, treat the second pitch as a warning that you are not early.
  4. Hunt for the internal dissent. The most valuable page in a fifty-idea compilation is usually the one that argues against the other forty-nine, because it comes from inside the same information set.
  5. Note what is absent. A survey with no gold, no uranium, no rates and almost no energy is telling you which trades bottom-up managers are not doing — which is where crowding risk is lowest.
  6. Cross-check every overlap against your own book and, when a pitch contradicts a position you hold, write down which specific facts each side disputes. Usually they dispute none, and the disagreement is about price and timing.
Here: the memory / AI-hardware cluster carries nine of 48 names (005930.KS, 000660.KS, WDC, 009150.KS, 6146.T, AVGO, ANET, 2345.TW, 5802.T); senior housing carries two funds making the identical demographic case (WELL, VTR). The only duplicates are SK hynix (Artisan + Buffalo) and Magnum (Upslope + Aristotle). The internal dissent is Harding Loevner: disciplined capex is still capex, and "if capacity catches up, the balance of enthusiasm may shift as well." The absences: no precious metals, no uranium, no macro. And the collision with the house book is exact — Crossroads is long ASTS on capability and contracts while Singh is short it on ~400× sales and launch risk; neither disputes the other's facts.
Watch for

2. Buy the special situation after a short-seller attack, once the specific allegations are disproven

The repeatable method
  1. Use the attack as the screen, not the verdict. A published short campaign creates a forced-sale price in a business whose operations may be untouched. That is an entry, provided you can test the claims.
  2. Wait for the operating data that the thesis said would not appear. Do not argue with the report; let two or three quarters of reported numbers settle it.
  3. Look for third-party validation from the party with most to lose. The strongest disproof of "this business is a house of cards taking share dishonestly" is the incumbent it takes share from signing a commercial agreement with it.
  4. Re-underwrite the business as a compounder, not as a rescue. If it clears, you are no longer holding a special situation, and the position should be sized and held accordingly — say so explicitly, because the temptation is to keep trading it like the trade it used to be.
  5. Watch for the model changing shape. A capital-heavy business migrating to fees (managing other people's capital against the same assets) changes the multiple it deserves once the fee engine flips from investment to harvest.
  6. Price the new optionality at a floor, not a forecast — one signed contract with a number attached beats an addressable-market slide.
Here: Crossroads Capital on FTAI — entered "eighteen months ago as a special situation, as a short seller campaign had marked the stock into the low $80s," and since "graduated to 'emerging compounder'." The data disproved it: Q1 adjusted EBITDA $325.6M, Aerospace Products revenue more than doubled, 270 CFM56 modules refurbished, +96% YoY. The validation: a multi-year materials agreement with CFM International — "about as clear a signal as you can get that the company's economics don't threaten the incumbent enough to provoke a response." The shape change: Aviation Leasing guidance cut $575M → $475M deliberately, as Strategic Capital vehicles shift "from investment to harvest." The floor: FTAI Power's $1.465bn initial order for Mod-1 generator sets — "this is a floor, not the ceiling."
Watch for

3. Orphaned equity: buy the capital-structure event, not the operating story

The repeatable method
  1. Screen for businesses whose problem is the balance sheet rather than the business — legacy loss-making contracts completed, negative book equity, a discount to pro-forma tangible book after an announced transaction. The operating fix is already done; only the financing is unresolved.
  2. Read the terms of the fix, not the headline. A rights offering priced far below the market, with no over-subscription facility, is designed to punish passive holders and reward participants — that asymmetry is the opportunity, and it is disclosed in the documents.
  3. Identify who backstops it. Unexercised rights going to a small group of large existing holders tells you those holders want more of the company at that price. Follow the money that is already inside.
  4. Commit to participating in full before you size the position, because a position you cannot fund through the offering is a position that will be diluted out of existence.
  5. Value the post-event entity, not the current one. Compute the multiple on forward EBITDA or earnings after the capital comes in and the bidding constraint is lifted.
  6. Find the historical template. Rights offerings with identical structures have identical outcomes often enough to be worth naming — and naming the analogue forces you to price the timeline too (in the template case, years of sideways price action before the payoff).
  7. For the pure merger version: when the shareholder vote is done and only a regulator remains, the residual risk is timing, and the second leg of the return is what management does with the discount afterwards (buybacks below tangible book).
Here: Alluvial Fund appears twice. MDRIQ — legacy loss contracts "all but completed," a $500M rights offering "priced at a gigantic discount" with no over-subscription rights so non-participants are "diluted to oblivion," backstopped by four large holders; post-offering it trades at "3.2x 2027 EBITDA" and "less than 4x 2028 earnings," with the template named as Garrett Motion's 2021 rights offering — "right down to the near-identical large holder backstop feature," including "a few years of sideways price movement first." GDOT — vote passed, "all that remains is government approval," shares still at "a large discount to pro forma tangible book value," and "if the bank continues to trade below tangible book value after the deal is completed, I expect they will not hesitate to implement share buybacks": 50-70% upside net of the closing distribution.
Watch for

4. Screen the capital structure for a forced seller — the covenant that realigns a controlling family

The repeatable method
  1. Start from the debt, not the equity. In a controlled company whose stock is down 90%, the family's incentives and the minority's have usually diverged completely; only a change in the debt can re-converge them.
  2. Look for a distressed exchange with a control trigger. The pattern: a fund buys the notes cheaply, offers an exchange at a discount to face that cuts net debt materially, and attaches a shorter maturity plus a clause handing over most of the equity if it is not repaid.
  3. Ask what that clause forces management to do. A family facing loss of control must monetise assets — which is precisely the value-realising action minority holders could never previously compel.
  4. Value the assets separately from the operating business. Broadcast licences, real estate and other saleable assets are the collateral for the thesis; the declining operating business is not.
  5. State the execution risk explicitly in the write-up — timing of sales, execution, market conditions — because an asset-value thesis with a deadline is a race, not a valuation.
  6. Enter before the incentive is widely understood and add as the alignment becomes visible in management's actions rather than its statements.
Here: Kingdom Capital Advisors on BBGI — "down more than 90% from its peak," notes at "25 to 30 cents on the dollar," exchanged "at 50% of face value, lowering Beasley's net debt by nearly $100m," with the trigger: "if they don't pay it off the new debt holders will take control of 95% of the outstanding stock." Hence: "the new capital structure creates a strong incentive for the Beasley family to monetize valuable assets to avoid losing control." Assets could support "up to approximately $200 per share after repayment — though realizing that value depends on asset-sale timing, execution, and market conditions." Established "under $6/share in April," then increased. The structurally identical setup on the other side of the ledger, already in this hub: PRTH, where a 55-58% owner bids for the minority — the same control asymmetry, with the special committee rather than a covenant supplying the pressure.
Watch for

5. The free-cash-flow-yield discount screen — buy the cheap asset whose bear case is already known

The repeatable method
  1. Rank a sector on free cash flow relative to price, not on earnings multiples, and shortlist the widest discounts to the peer group.
  2. Name the bear case out loud and be specific — "shorter Permian resource life", "COVID-era fleet depreciation" — because a discount without an identified cause is usually a discount you do not understand.
  3. Ask whether the market is pricing a permanent impairment or a temporary distortion. Accounting distortions (depreciation from an abnormal purchase period) resolve mechanically; resource depletion does not, and must be paid for with optionality elsewhere.
  4. Require a balance sheet that lets you wait — investment grade, or debt low enough that a bad two years is survivable.
  5. Look for the unpriced call option: exploration acreage in another jurisdiction, an under-monetised second segment, or property carried far below use value.
  6. Buy the sell-off caused by something that helps the customer, not the company — an oil price falling on a peace headline reprices the equity without changing the reserves.
Here: Hotchkis & Wiley twice. APA — the stock "fell as oil retreated due to optimism about a resolution to the conflict in Iran," leaving "attractive value metrics relative to its free cash flow yield," an "investment grade balance sheet," options in "Suriname, Egypt, and potentially Alaska," and the bear case named — "concerns over shorter Permian resource life." UHAL-B — the distortion is accounting: the market "began to look through elevated COVID-era fleet depreciation to normalizing earnings, declining capex, and a pivot toward shareholder returns," with self-storage at "below-market rates" and "real estate assets [that] add optionality at a low valuation multiple." Cedar Creek's EXCE is the microcap extreme of the same screen: $22.08 against ~$24.77 book and $81m debt, bought at "2.1x adjusted EBITDA," worth "$60 to $80 per share in a sale."
Watch for

6. Test an AI-disruption story against the customer, not the technology

The repeatable method
  1. When a franchise de-rates on a technological threat, write out the disruption story as its proponents would — in full, without strawmanning. If you cannot, you do not understand the risk you are underwriting.
  2. Ask who the actual buyer is and what they are actually buying. Disruption arguments almost always assume a retail-style buyer optimising on price; institutional buyers optimise on settlement certainty, regulatory standing, recourse and bespoke terms.
  3. Find the historical precedent where the same disruption already happened — and identify why it worked there. If it worked because the product was commoditised, then the test is whether your product is commoditised. Usually that is the whole answer.
  4. Check whether the incumbent can simply launch the disruptive product itself. A threat an incumbent can copy in a quarter, with better clearing and distribution, is a feature, not a competitor.
  5. Identify the proprietary data asset. Ask specifically whether it is scrapeable. Decades of private pricing across counterparties is not, and that is a durable barrier in an era when public information has been commoditised.
  6. Reframe the threat as an expansion where it applies to a market you do not serve. A new rail that wins in cross-border business payments or remittances is additive if your revenue comes from consumer card volume.
  7. Then require a discount, and buy it. The method only produces returns when the fear has actually compressed the multiple.
Here: three funds run the same play. Artisan on MMC — "zero evidence" of AI disruption, only "vague, nebulous assertions"; the direct model worked in auto and home "because these policies are essentially commodities," which is why "despite being around for decades, the direct model has never been successful in commercial insurance"; and the data moat — "not publicly available for some AI-native startup to scrape and train on" — bought at 14× forward earnings. GreensKeeper on ICE — perpetual futures fail because "ICE's core users are commercial hedgers and institutional investors, not retail speculators" needing "fixed settlement dates, standardized contracts, deep liquidity, robust clearing," and "should institutional demand… ever materialize, ICE is well-positioned to launch its own offerings" — bought after a 21.7% decline against 20%/34% revenue and earnings growth. Pershing Square on MA — stablecoins are "most relevant where cards are not the incumbent," agents "should adopt, not replace, consumers' existing payment preferences," regulation "stalled amid broad opposition" — bought at 22× forward earnings.
Watch for

7. Reframe the asset: find the software business hiding inside a physical one

The repeatable method
  1. Ask what a company is being valued as, and whether that classification still describes what it does. Index membership and sector labels are sticky; business models are not.
  2. Separate collecting rent from running the operation. A landlord earns a contracted payment; an owner-operator captures the upside from occupancy and pricing. Only the second is exposed to its own operating improvements.
  3. Locate the proprietary layer — an operating platform, analytics, a pricing system — and ask whether it drives margin and occupancy, or is merely internal plumbing.
  4. Test whether the layer is being monetised, or only used. Early external monetisation is what converts an operating advantage into a re-rating argument.
  5. Check the hiring. A property company deliberately recruiting technology executives is telling you which business it thinks it is in.
  6. Apply the same lens to conglomerates: if one subsidiary is a genuine high-return compounder inside a cyclical group, the group's cyclical multiple is the mispricing.
Here: Baron on WELL — "while Welltower screens as a real estate business, we view it as the intersection of hardware, real estate, and software," where the platform "creates meaningful structural upside to both operating margins and occupancy… such as amenity-based pricing," with "early monetization of its proprietary data analytics platform" and a company that "has deliberately recruited senior talent from both technology and real estate." Guinness makes the ownership-form half explicit on VTR: "by owning and operating their communities, rather than purely leasing them, the benefit of stronger operating conditions accrues directly to them." The conglomerate version is REQ on VOLO.ST: the market values it "as a cyclical industrial company, while we increasingly view Ettiketto as a high-quality compounder embedded inside one" — 75% of earnings, margins taken "from the low teens to above 20%" at the legacy business. And LHC on TNE.AX is the inverse test passed: an AI product whose "usefulness increases as customers adopt more TechnologyOne products," so it sells modules rather than replacing them.
Watch for

8. Read supply discipline as a claim to be verified, and price the cycle it eventually creates

The repeatable method
  1. In a consolidated commodity industry, the variable that matters is behaviour, not demand. Two or three scaled producers who add capacity destroy the return; the same producers who add density or yield instead preserve it.
  2. Find the discipline in what management chooses to spend on — areal density rather than unit capacity, AI-grade memory rather than commodity lines, capex tied to customer commitments — and take that as the testable claim.
  3. Check the physical constraints that enforce discipline whether or not anyone means it: wafer intensity of the premium product, the impossibility of converting one product line into another, greenfield build times, tool lead times.
  4. Look for structural de-commoditisation — long-term agreements, co-designed products, customer-specific engineering — which is what turns a price cycle into a contract business.
  5. Then run the counter-argument on the same facts. Record profits fund capacity; capacity arrives with a lag; scarcity was what produced both the earnings and the multiple. Write down when the added capacity lands.
  6. Size for the fact that the equity turns before the industry does. "For the companies, such investments may be rational. For the stocks, it could prove more complicated."
Here: Alger on WDC — "only two scaled manufacturers," discipline defined precisely as "prioritizing higher areal densityrather than adding significant unit capacity," with the proof in "an improved pricing environment that lifted margins above the company's prior guidance." Baron on 005930.KS supplies the physical constraints — HBM "more wafer intensive," "NAND capacity can no longer be converted into DRAM," fabs taking "two to three years" — plus the de-commoditisation claim (long-term agreements, co-design, customer stickiness) and the free option (foundry, "4x P/E"). Artisan and Buffalo both pitch 000660.KS on made-to-order HBM. And Harding Loevner runs step five in the same document: disciplined statements "suggest that prices and margins could stay higher for longer," but the same demand "is now incentivizing capacity additionsif capacity catches up, the balance of enthusiasm may shift as well."
Watch for

9. Anchor a valuation to a private-market or peer transaction, not to a multiple you chose

The repeatable method
  1. Find a recent transaction in the same business — a private-equity deal, a takeover of a close peer, a controlling holder's own bid — and use it as the reference point.
  2. Adjust for the specific differences (margin gap, scale, jurisdiction, share class) rather than applying the headline multiple unaltered.
  3. Express the upside as a gap to that anchor, so the thesis has a number that a third party has actually paid rather than one you have assumed.
  4. Where the anchor is a margin rather than a multiple, treat the gap as the operating plan: identify what the better operator does differently and whether the target can copy it.
  5. Prefer anchors that are hard to argue with — a completed transaction beats a broker's target; a controlling holder's own bid is the hardest anchor of all, because it is the buyer's own view of value published under legal obligation.
  6. Beware anchors that are themselves inflated by the same cycle that inflated your target.
Here: Upslope on MICC.AS uses Froneri twice over — as a margin anchor ("~20% in recent years vs. ~16% at MICC… no obvious reasons why MICC can't catch up") and as a valuation anchor (a transaction "valuing Froneri for an estimated 10-11x EBITDA" against Magnum's "~9.5x 2026E EBITDA"). White Falcon on EPAM uses a peer takeover: Nagarro acquired by Persistent Systems "at approximately 9.1x EV/EBITDA and 1.3x revenue — more than double EPAM's valuation!" Cedar Creek on EXCE uses the private-market exit: "worth $60 to $80 per share in a sale" against a $22 quote. Kingdom on BBGI anchors on asset value net of debt — "up to approximately $200 per share after repayment."
Watch for

10. Write the detractor up honestly — and let the write-up carry the falsification test

The repeatable method
  1. Re-underwrite losing positions in public, at length, with the loss stated first. A letter that only discusses winners is not a research process.
  2. Distinguish a timing error from a thesis error explicitly and say which you think it is — the distinction determines whether you add, hold or exit, and it is the only claim that can later be scored.
  3. Re-derive the valuation at the new price in absolute terms (EV/EBITDA, P/E, net cash) rather than relative to your cost, so the decision is made on the security in front of you.
  4. State the mechanism that would resolve the delay, and what it depends on that is outside your control.
  5. Attach an external marker of value that does not depend on your own opinion — a peer transaction, a strategic buyer's interest, an asset sale.
  6. Accept the possibility that early and wrong are the same thing, and size accordingly.
Here: White Falcon on EPAM — "the biggest detractor this quarter… we have stubbornly held the stock for some time and as the saying goes there is sometimes no difference between being early and being wrong." Re-derived: "4x EV/EBITDA and 7x P/E" on a net-cash balance sheet. Mechanism: enterprises "delaying large digital transformation projects" — "a timing rather than a structural issue," because "the real bottleneck is no longer model development but enterprise deployment and integration." External marker: the Nagarro takeover at "more than double EPAM's valuation." GreensKeeper does the same on ICE ("our largest detractor… declined 21.7%") and Baron on GWRE ("declined 18.0%… and detracted 60 bps"), each pairing the loss with the specific operating datapoint that contradicts it — 20%/34% growth, and a 340 bps subscription-margin improvement.
Watch for

Methods distilled from the Q2-2026 investor letters excerpted in the premium SSR subscriber distribution "50 new hedge fund pitches" (2026-08-03) — the source PDF is in this folder. Each method belongs to the fund named beside it, not to Jay Singh or Special Situations Report, whose contribution is the compilation. Not investment advice.