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Actionable insights — Weekly SSR: harvesting the odd-lot exemption, marking down the activist's number, trading a failed bid as a range, reading credit before equity, and separating contracted supply from commodity supply inside one cycle

The repeatable analysis behind the calls: not what he bought, but how he got there — written so each method can be rerun on the next self-tender that carries a small-holder exemption, the next activist letter whose number you should not believe, the next takeover that collapses and leaves a cheap company behind, the next hawkish speech whose hawkishness comes from something the speaker removed, the next earnings season inflated by unrealised marks, the next supplier whose customer is also its investor, and the next headline that reprices an entire commodity complex on a decision nobody has actually made yet.
2026-AUG-30 · Weekly SSR research call (premium) · Jay Singh (Special Situations Report; ex-Goldman Sachs) · ▶ Transcript (PDF) · full analysis · report · weekly deck · notes
How to read this page: each insight is a method — the trigger that put him onto an idea, the steps that turned it into a position or a pass, and the signal to watch when re-running it. The boxed line shows how it played out in this call. (Premium recording with no public video, so no per-step video deep-links — section timestamps live in the saved notes.)

1. Harvest the odd-lot exemption — the one structural edge sized for a small account

The repeatable method
  1. Screen for issuer self-tenders, not third-party M&A. A company buying its own stock has no antitrust risk, no financing condition and no shareholder vote — the only variable is price.
  2. Confirm the structure is a modified Dutch auction with a stated collar. A fixed floor and cap turn the trade into a bounded distribution rather than an open-ended bet: the worst case is a clear at the floor, and you can compute it before you enter.
  3. Read the tender document for the odd-lot priority provision — holders of 99 shares or fewer who tender their entire position are exempt from proration and bought first, in full. This provision exists in most tenders and is the rare structural advantage that only a small account can use.
  4. Verify the cash is already there before trusting the size. A buyback funded from a specific, received windfall (a settled lawsuit, an asset sale) is materially safer than one funded from projected cash flow.
  5. Price the whole distribution against your actual entry: the loss at the floor, the gain at the cap, and the return at the midpoint — then annualise it against the expiration date, not against a guess. A month-long trade with a known worst case is a different instrument from an equity position.
  6. Replicate across accounts. The exemption is per beneficial holder per broker, so the same trade can be run in parallel — which is what turns a few hundred dollars of edge into a real position without ever taking proration risk.
  7. Buy inside the collar with room to spare. Entering above the floor is the only way to lose, so the entry price is the risk management.
Here: ABUS launched a modified Dutch auction for up to $230M at $5.00-$5.75, funded in part by the $178M net proceeds of the Moderna patent settlement — cash already received. The mechanism: "shareholders owning 99 shares in every brokerage… who tender their entire position are exempt from proration." Worked at a $5.50 clear off a $5.07 entry: "43 cents per share… across, if you have 10 accounts, 990 shares." The deck's full distribution off the August 25 close of $5.20: −1.8% at the floor, +12.9% at the cap, expiring September 29 and settling October 2 — "you actually have a full month to do the trade… the final clearing price is unfixed… but at least you know what your downside is." Sourcing: found by the in-house screener, which "has all of the tenders, all of the M&A deals, that you could screen for and do your own work on."
Watch for

2. Buy the activist's setup, but publish your own number — and make it much lower than theirs

The repeatable method
  1. Start from the structural situation (a controlling holder bidding for the minority), not the activist's valuation. The structure is what creates the floor; the valuation is a negotiating position.
  2. Read the activist letter for its method, not its output. A levered-cash-flow or sum-of-the-parts case built to maximise a public number tells you what the fund wants to anchor the committee at, not what it expects to receive.
  3. Write down your own realistic outcome before you size the position, and say how far it is from the activist's. If you cannot articulate why theirs is too high, you have not underwritten it.
  4. Underwrite the reason the stock fell. If the deterioration is real, the controller's low bid is defensible and the committee's leverage is weaker — which is precisely what caps the realistic bump.
  5. Locate the leverage in company law rather than in the argument. Under Delaware's MFW framework a controller's bid earns deferential review only with both an independent special committee and a majority-of-the-minority condition; without both, the controller is exposed to post-closing fiduciary litigation, and raising the price is the cheaper path.
  6. Size to the realistic bump and hold to the process date, not to the headline. Special-committee negotiations in controlled take-privates typically run six to nine months.
Here: PRTH — Priore owns ~56.5-58% and bid $6.00, "roughly five and a half times cash flow." Steamboat Capital Partners and Buckley Capital (4.1% combined) wrote the special committee arguing for $17-19 on a levered-LBO basis. Singh's own mark: "In reality, I think they'll get to 7 and a half to 8." And he underwrites the fall rather than dismissing it: the B2B payables segment grew revenue 22% while gross profit fell 10% on interchange and mix, SG&A +21%, EBITDA guidance cut, net leverage 3.8× — "that's why the stock was down so much, not for no reason." The legal hook: without a strict majority-of-the-minority condition "the special committee remains the primary defense line to squeeze out a higher price… the CEO will likely need to raise the bid… to avoid post-closing fiduciary litigation." Valuation floor: ~6× forward EV/EBITDA, ~8× trailing and 4-5× forward P/E; KBW's cut target of $6.50 is still above the market price.
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3. Trade the failed takeover as a range, not as a thesis

The repeatable method
  1. When a bid collapses, ask first whether the underlying business is cheap without the bid. If the only reason to own it was the acquirer, there is no trade.
  2. Establish the cash floor, not the earnings multiple: free cash flow against market capitalisation, and the net cash position. A business that could retire its own equity within a decade has a self-imposed bid underneath it.
  3. State the offsetting structural problem out loud and let it cap the target multiple. A company losing share is worth a lower multiple forever, not a temporary discount — which is what converts a value stock into a trading range.
  4. Build and publish the model, so the entry and exit are levels rather than moods. Singh's own DCF marks the business below consensus precisely because he discounts terminal value for the share loss.
  5. Define the round-trip in advance — an accumulation zone and a trim level — and expect to repeat it. "This is one trade you could do several times."
  6. Be explicit that it is not interesting in the middle of the range. Refusing to act between the levels is the discipline that makes the levels mean something.
Here: PYPL — "Stripe was reportedly interested… It said it is no longer interested after the board learned a higher bid." The floor: "under eight times forward earnings7 billion of free cash flow… a teen free cash flow yield… a net cash position… it can effectively buy itself in less than 10 years." The cap: "it is losing market share to competitors like Square" — so his published model marks it at $57 against a Street range of $70-85, "given terminal value and market share uncertainty," and the target multiple is 10× rather than 8-9×. The execution: bought 51.65, sold 54.40, closed $53, "we'll buy back close to 50 again." And the honest middle-of-range verdict: "PayPal is not incredibly interesting here."
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4. Read a central banker's hawkishness from what was removed, not what was promised

The repeatable method
  1. Compare the speech to the previous speech, and list what is no longer there. A chair who gives no forward guidance can only move markets by changing the framework, so the framework change is the message.
  2. Identify the optionality the speaker just gave up. Withdrawing a proposed escape hatch — a new inflation measure, a redefined target, a changed reaction function — is a commitment, and commitments are hawkish regardless of tone.
  3. Ask who the speech was addressed to. A chair with dissenting committee members may be buying internal consensus rather than signalling policy — in which case the market is pricing a hike that was never the point.
  4. Separate the priced probability from your own view, and state the political and seasonal constraints the market is ignoring.
  5. Model the speaker's sequencing: what does he need to do first in order to do what he actually wants later? A concession now can be the price of credibility for a different policy in six months.
  6. Trace the second-order effect on the other policymaker. Monetary and fiscal actors share one bond market; a hawkish central bank changes the size of the intervention the treasury needs.
Here: what made Warsh hawkish was a withdrawal — "in July, Warsh kind of hinted that we are waiting for a new inflation measure. He took that off the table for now by being strict about the PCE. That was probably to satisfy the committee, and that is what the market takes as hawkish." Odds moved to 60-70% for September and 90% for December; Singh dissents on politics and seasonality — "I just don't think that a September or October hike really makes sense right ahead of midterm electionsespecially because inflation is roughly flat," with September the poorest seasonal month, worse still in midterm years. The sequencing read: "Warsh is buying himself time until the new committees and everything he's done are in place… he didn't really deliver the productivity speech… so if we do get a hike in September or October, it would only be to satisfy the groupthink at the Fed now, to be able to deliver on the productivity side later." Second order: "Warsh just made life worse for Bessent… from a liquidity standpoint, Bessent needs to be back more next week at the first opportunity."
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5. Read credit before equity — a widening spread on a company nobody thinks will default is an information event

The repeatable method
  1. For any capital-intensive boom, track default-insurance costs on the spenders alongside their share prices. Credit and equity price the same balance sheet with different loss functions; credit notices leverage first because it has no upside to compensate for it.
  2. Find the obligations that are disclosed but not consolidated — leases, purchase commitments, residual-value guarantees, special-purpose vehicles. Sum them across the cohort rather than per company, because the counterparties overlap.
  3. When spreads hit records on issuers nobody expects to default, read it as a statement about supply and uncertainty, not solvency: more paper coming, and a wider range of outcomes behind it.
  4. Ask whether the issuance is likely to stop. If the spending is strategic rather than discretionary, it will not — so do not treat the spread as mean-reverting.
  5. Translate a wider outcome range directly into multiple compression, and check it against the sector's forward multiple. This is the transmission from credit to equity, and it happens even while earnings estimates rise.
  6. Watch for the second-order tell: insiders converting paper wealth into assets outside the complex.
Here: "Hyperscaler CDS spreads hit all-time wides last week… hyperscalers have 3.1 trillion of off-balance-sheet arrangements, not all of which are actually guaranteed" across META, GOOGL, MSFT, AMZN, ORCL, NVDA and AVGO — "these spreads could calm down if they stop issuing more and more debt, but I don't think that that is the goal." Goldman's Delta One desk supplies the transmission: credit "is starting to ask questions that equity largely ignored," plus inventory builds in the semi chain and power bottlenecks and policy pushback on data centres — "none of these kill the AI story, but the range of outcomes is clearly getting wider = lower multiples (SOXX on 24-month forward P/E has gone from 21-22 to 15ish)." The proof it works: Nvidia guided 70% growth against a 47% expectation and the semiconductor index still fell 2.3% on the week. The insider tell: "I wouldn't be surprised if a lot of these people are converting assets from vested stock into precious metals."
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6. Write down the financing contingency inside a supplier's guidance

The repeatable method
  1. For any supplier growing faster than its end market, identify who its customers are and where their money comes from.
  2. Flag every case where the supplier is also an investor in the customer. Circular arrangements are not fraudulent and the product is real — but the revenue is contingent on the capital cycle, not just on demand.
  3. Quantify the contingent share from the company's own disclosure rather than estimating it, and treat that fraction of guidance as conditional.
  4. Name the specific financing events the forecast depends on and put them on the calendar — an IPO, a funding round, a debt raise.
  5. Restate the forecast as a conditional: not "growth will be X" but "growth will be X provided those events clear." Then monitor the events rather than the demand commentary.
  6. Keep it proportionate. Singh's own qualifier is the model: "it's not the base case, but it's still a big uncertainty" — the discipline is naming a risk without converting it into a short.
Here: NVDA guided to 70% growth through FY28 on $279B of commitments — but "some of that revenue growth is contingent on financing for Anthropic doing an IPO in October and OpenAI securing financing… a lot of Nvidia's growth is actually being financed by itself, right? Through these circular capital arrangements. So people are not as confident, even though the number is spectacular, that if the credit markets unravel whether that number can actually be hit." Nvidia's own CFO put the size on it: nearly $50B invested in frontier AI labs, with balance-sheet-supported demand at ~25% of next year's business. The calendar items are dated and public — Anthropic's October listing at a $2T target raising up to $100B, and SoftBank's $6.3B retail bond against $60B+ of cumulative OpenAI commitments.
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7. Strip unrealised marks before you compare an earnings season to history

The repeatable method
  1. Separate operating earnings growth from reported growth, and check whether the gap comes from revaluations of private holdings rather than from the business.
  2. Name the specific companies creating the distortion and recompute the index without them — for growth, for the beat rate, and for the sector aggregate. Concentration means one or two names can move the headline several fold.
  3. Check the breadth measures separately: the median company, the ex-mega-cap aggregate, the number of sectors growing. If breadth is genuine, the season is real even if the headline is inflated.
  4. Track non-operating income as a share of core operating income as a cycle indicator in its own right — it rises with IPO activity and private capital raising, and historically peaks late.
  5. Ask what happens to next year's comparison when the marks stop rising. An unrealised gain booked as profit sets a base that must be repeated.
  6. Prefer free cash flow to earnings when the two diverge, and say which one you are underwriting.
Here: headline GAAP EPS growth of 118.5% against adjusted growth of 31%, because of "how big Anthropic's mark-to-market was for AMZN and GOOGL's P&L." Recomputed: excluding Amazon takes consumer discretionary EPS growth from a record 92% to 7%; excluding Amazon and Alphabet takes the index beat rate from 29% to 10%. Breadth checks out anyway — ex-Mag 7 +20.7%, median company +14% EPS / +6% revenue, 10 of 11 sectors growing, 8 in double digits, margins at a record 16.9%. The cycle marker: non-operating income at ~9% of core operating income heading to low double digits versus over 25% in the 1980s — "a metric that bears watching, as it has historically risen in later-cycle environments." And the preference stated outright: "while earnings growth is going up, free cash flow growth is going down — and free cash flow, I think, is more important than earnings," with the index "likely over-earning today relative to historical levels."
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8. Inside one commodity complex, separate the contracted end from the floodable end

The repeatable method
  1. When a single headline hits an entire sector, ask which sub-market it actually touches. Sector ETFs and sell-side notes treat "memory" or "chips" as one thing; the pricing power is not evenly distributed.
  2. Split the complex by who sets the price: specified, qualified, contracted product sold years forward, versus interchangeable product bought on price per unit.
  3. Note that a state-supported entrant does not need a normal return on capital, so it can take share in the commodity segment indefinitely — but cannot easily enter the qualified segment, where certification and performance gate the customer list.
  4. Check the contracted evidence before accepting the sell-off: order books, prepayments, take-or-pay agreements, and the customers' own purchase-commitment disclosures.
  5. Sell the floodable end, keep the contracted end — and when the same name spans both, hold the view neutral rather than pretending the conflict away.
  6. Distinguish an evaluation from a switch. Markets reprice incumbents on the mere existence of a credible alternative, which is either an overreaction to fade or the first sign of a structural change — the contracted data is what tells you which.
Here: Apple "is evaluating DRAM from CXMT and NAND from YMTC… which pressured traditional memory players like SNDK down 6%MU down 5%… which is why memory underperformed AI overall," and the report's reductions list names both. Against that, from the same deck: TrendForce has server DRAM +270% year-over-year, enterprise SSD +235%, HBM +70-140% by 2027 — "structurally bullish for the entire memory complex" — and Nvidia's commitments jumping $119B → $279B is "primarily related to procurement of memory… so memory goes brrr," with Micron adding $10B of US research labs on top of a $250B commitment. Note also that Apple has evaluated, not switched, pending a US decision possibly after a September Trump-Xi meeting.
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9. Underwrite an arbitrage's income terms, not just its spread

The repeatable method
  1. For every open deal, read whether interim dividends are additive to or deducted from the merger consideration. Two deals with identical spreads have different returns if one pays you to wait.
  2. Write down the next procedural date each approving body has actually set — vote dates, waiting-period expiries, phase-one deadlines — rather than the parties' guidance about closing.
  3. Treat a conditional clearance in a small jurisdiction as a template: the remedy one regulator demanded is what the larger ones are likely to ask for, because the competitive overlap is the same everywhere.
  4. Read the acquirer's behaviour as a risk input. A buyer that antagonises the regulator it needs to settle with has raised the cost of its own approval regardless of the merits.
  5. Separate headline risk from evidentiary risk: an official repeating an objection is not the same as a new fact.
  6. Take money as the spread compresses, and re-rank the book by the return remaining per unit of time.
Here: TWO closed at $12.00 cash plus a $0.20326 stub dividend that "will be paid with the merger consideration and will not reduce or otherwise affect the merger consideration" — free carry on the last weeks. KVUE/KMB cleared New Zealand conditional on divesting the feminine-hygiene business, with an EC Phase 1 deadline of September 29 — a template and a binary. CZR votes September 22 with HSR expiring September 14; RMAX closed August 24; ATKR filed in Austria. And the behaviour input: WBD's spread is down to 7% from 20%, but California's AG cancelled the settlement meeting over alleged leaking and bad faith by PSKY, with no new date set and the states preparing to demand cable-channel divestitures and a separated studio.
Watch for

10. Price bonds off the marginal change in nominal growth, not its level

The repeatable method
  1. Anchor long yields to nominal GDP — real output plus inflation — rather than to headlines or geopolitics. "Even geopolitics' impact on rates tends to be limited and short-term in nature."
  2. Check the historical relationship and the reason it broke. If long rates sat below nominal growth for two decades because of an uneconomic official buyer and a zero-rate expectation, note that both supports are now gone — so the relationship should reassert with easy policy pushing the long end higher, not lower.
  3. When someone argues a yield is cheap against a nominal print, ask whether that print is a peak. Compare it to the trailing eight-quarter average and to forward earnings and GDP estimates.
  4. Trade the second derivative. If both earnings growth and nominal growth are peaking this quarter and decelerating from here, the marginal pressure on yields is downward even while the level looks high.
  5. Interrogate soft data before treating it as bond-friendly. Housing and employment weakness can be caused by high rates, or can signal widening margins rather than a slowdown — neither of which is a reason for yields to fall.
  6. Express the view where the after-tax maths is best rather than where the story is loudest, and check positioning for the contrarian cushion.
Here: asked whether a 5.25% 30-year is cheap against 8% nominal GDP: "I think that 8% nominal is very, very temporary… we're at 1.5% realthis quarter is supposed to be peak… it is going to be sequentially declining. And so I do think, on a marginal basis, if earnings growth is peaking this quarter for the year and GDP growth is peaking this quarter for the year, I'm less worried about rates going higherwhat I'm focusing on is the marginal change." The structural frame: "nominal GDP growth has not been this high since the mid-2000s, which is also the last time the 10-year Treasury was this high. We do not view this as a coincidence." Why soft data has stopped helping: it is concentrated in housing (where "the causal relationship with rates points in the opposite direction") and hiring (which "may also signal that firms are able to produce more without needing more workers… their profit margins have widened"). The expression: 10-to-20-year municipal bonds in high-tax states on a taxable-equivalent basis, with the cushion that 10-year futures positioning is "about as net short as they've ever been in history… including people like Druckenmiller." The stated hedge: "another string of hot inflation data, more likely given the rise of gasoline and diesel prices in August, could send rates even higher."
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Methods distilled from the premium Special Situations Report weekly call (2026-08-30; transcript, report and agenda-deck PDFs in this folder; notes in transcript.md) for personal study. Not investment advice. © Special Situations Report for source material.