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Actionable insights — Making Hay Monday: The K-Shaped Economy / Jacobs (J)

The repeatable analysis behind the calls: not what Haymaker recommended, but how to position for a policy-driven "run-it-hot" economy, read the consumer-sentiment-vs-asset-price divergence, and screen a cheap quality industrial — written so each step can be rerun on the next cycle or name.
2026-JAN-05 · Haymaker (Substack newsletter, paid) · The Haymaker Team / David Hay · ↗ Read · full analysis · article text
How to read this page: each insight is a method — the macro screen, the diagnostic question, the entry/sizing discipline, and the signal to watch when re-running it. The boxed line shows how it played out in this post. (Written newsletter — "read" links open the source post; no timestamps.)

1. Position for a policy-driven "run-it-hot" economy — follow the stimulus, own the beneficiaries

The repeatable method
  1. When an administration is politically motivated to stoke growth (here, a desperate incumbent into the mid-terms), inventory the levers it can actually pull: a pliable Fed pushing short rates toward a negative real level, plus fiscal windfalls (bonus depreciation, tax refunds, tariff rebates, cash-for-clunkers, an affordable-housing push).
  2. Map each lever to the securities most directly leveraged to it — the "prime beneficiaries from the run-it-hot effort" — rather than betting on the index that the stimulus also inflates.
  3. Hold the thesis loosely: label the likely outcome an "inflationary boom," durable at first then fading, and plan to rotate as a CPI spike eventually shows up (possibly deferred past the election).
Here: the beneficiary screen lands on reindustrialization/AI-infrastructure (J) and a cheap, under-owned energy sector (XLE) as the names that ride the stimulus and a weaker dollar.
Watch for

2. Read the consumer-sentiment-vs-asset-price divergence (the K-shape)

The repeatable method
  1. When deep-recession-level consumer sentiment coexists with record-high asset prices, don't dismiss either — diagnose the split. Pull a long sentiment series (UMich back 65 years) and overlay past recessions to gauge how extreme the pessimism is.
  2. Explain the gap with the income/wealth distribution: the top 10% of earners drive ~50% of spending and own most assets, so an asset boom can sustain GDP even as the majority feel a recession — a "K-shaped" economy.
  3. Convert it into a risk read: a market-led economy means a bear market could pull high-end consumers into the gloom and tip the whole economy quickly — so treat extreme bullish concentration as fragility.
Here: 65-yr UMich lows alongside one of the priciest markets ever → the "Special K" economy; one interpretation is "we're just a bear market away" from a fast downturn.
Watch for

3. Look past trailing P/E — value on clean forward earnings

The repeatable method
  1. When a quality name screens "expensive" on trailing P/E, check whether the trailing figure is distorted by nonrecurring charges (here, write-offs from exiting low-margin lines) before rejecting it.
  2. Rebuild the multiple on management's forward EPS guide and consensus, and compare the forward multiple to peers — a wide trailing-vs-forward gap on one-time charges is exactly where the mispricing hides.
  3. Cross-check with normalized measures (PEG, EV/EBITDA) and a credible multi-year EPS estimate to set a target.
Here: J reads 39–52× trailing (nonrecurring charges) but 17.7–19.6× forward — ~25% below peers; PEG ~0.5–1.5, EV/EBITDA ~14×, ~$10 EPS by 2029 → ~$230 target vs ~$135.
Watch for

4. Apply the cost-plus-vs-fixed-price quality filter to E&C names

The repeatable method
  1. For any engineering & construction or contractor, read how it bids work: fixed-price/lump-sum/turnkey contracts force the builder to eat cost overruns, inflation and delays — "gambling with the company's future."
  2. Favor firms built on cost-plus / cost-reimbursable and professional-services contracts, where the client pays actual costs plus a set fee, so margins survive scope creep.
  3. Use the contract mix as a survivorship filter — disciplined bidders compound; fixed-price plungers periodically take ruinous write-downs.
Here: J avoids fixed-price turnkey work (founder called it "unprofessional"), unlike peers that took big write-downs — and unlike now-defunct Morrison-Knudsen and Westinghouse.
Watch for

5. Screen by relative sector weight for deep value

The repeatable method
  1. Compare a sector's share of the index to its long-run weight and to its actual return contribution — a sector that has outperformed yet shrunk to a tiny index weight is structurally under-owned.
  2. Anchor the under-ownership with a vivid yardstick (one mega-cap's market value) to make the neglect concrete.
  3. Treat the depressed weight as a hunting license: a small, ignored sector "brimming with bargain-priced stocks" is where to fish for value, via the sector ETF or individual names.
Here: energy doubled the S&P's return since 2021 yet is <3% of the index — "barely one-third of Nvidia's cap alone" → buy the neglected sector (XLE).
Watch for

6. Profit-taking-trim discipline — sell ⅓ after a double

The repeatable method
  1. After a position roughly doubles, take partial profits — sell about one-third — to bank the move while keeping exposure to further upside.
  2. Fund new or larger positions from the wins: rotate proceeds of a beaten-down name into a better-positioned one and let the swap, not a single stock, carry the risk.
  3. On the other side, add to a sound-thesis laggard by dollar-cost-averaging and explicitly setting the target allocation, rather than buying all at once.
Here: trim ⅓ of HP after its ~double ($15.20→$30.94, funded by the June-30 half-sale of SLB at ~14% loss); separately, DCA PBR up to ~1.5% on weakness.
Watch for

Methods distilled from the paid Haymaker newsletter (text in transcript.txt) for personal study. Not investment advice. © Haymaker / David Hay for source material.