The Data Point that Saved Christmas

November core CPI (ex-food and energy) eased to 2.6% (from ~3.0% in September), a softer reading that has prompted markets to price earlier Fed easing — CME now shows ~47% odds of a 25bp cut in March and ~12% odds of a 50bp move. Rising unemployment (reported at 4.6%) and political drama over President Trump’s prospective Fed chair pick (names cited include Kevin Hassett and Christopher Waller, the latter reportedly favoring up to ~100bp of cuts) increase the likelihood of more and earlier rate cuts in 2026. The report highlights sectoral risks (notably higher electricity costs tied to AI/data-center demand) but signals a policy backdrop favorable to growth and AI-exposed assets into 2026.

Analysis

Market structure: Softer CPI + higher odds of March cuts favors long-duration growth (AI hardware/software, cloud) and infra owners; direct winners include NVDA, MSFT, AMZN, EQIX/DLR and CME (vol/flow volumes). Losers: interest-rate-sensitive financials (regional banks, KRE), parts of energy if demand weakens; rising electricity prices are a sector-level tax on hyperscalers and could compress gross margins for data-center-heavy names. Cross-asset: expect 10y yields to trade down 25–75bp into 2026 if cuts materialize, USD down 1–3%, gold and EM assets to rally; implied equity vols likely to compress near-term.

Risk assessment: Tail risks include a CPI re-acceleration >3.5% Y/Y (energy shock, wage pickup) forcing Fed to pause cuts, or a Trump Fed pick who is more hawkish than signaled — either would send rates and the USD higher quickly. Time horizons: immediate (days) = volatility crush and equity gap-up; short-term (weeks–months) = positioning into March cut odds; long-term (2026–27) = unemployment could climb toward historical peaks (4.6% today vs. 6% pattern), and rising electricity costs/regulation become material. Hidden dependency: CPI data quality gaps from the shutdown may be misleading; monitor payrolls/CPI prints for confirmation.

Trade implications: Tactical overweight growth/AI hardware and cloud infrastructure for 3–12 months (NVDA, MSFT, EQIX, DLR) and establish 3–4% portfolio IR exposure to 7–10yr Treasuries (TLT/IEI) to play rate cuts; trim banks by 3–5% and consider a 1–2% short in KRE. Use options to control risk: buy 3–6 month call spreads on NVDA/MSFT (limit capital) and 3–6 month puts on a small S&P tranche (2% notional) as tail protection. For CME consider a 1–1.5% long given flow volatility, and short or hedge SPGI (0.75–1%) by buying 6-month puts if you own it.

Contrarian angles: Consensus assumes cuts => perpetual multiple expansion; it underestimates the medium-term tax of rising electricity costs on AI margins and the potential for regulatory/anti-trust action in 2027. The market may be overpricing duration risk — if March does not deliver, a sharp repricing could wipe out recent gains; conversely, if cuts exceed 50–100bp in 2026, momentum tradeable but earnings must follow. Historical parallel: 2019 pivot produced sharp multiple expansion followed by earnings reversion; hedge for the latter with sector pairs and discrete option protection.

Key Decisions for Investors

• Establish a 2–3% portfolio long in NVDA within 2 weeks; complement with a 3–6 month call spread (limit downside capital) and scale up another 1% if 10y Treasury yield falls below 3.2% or March CPI confirms disinflation.
• Trim financials exposure by 3–5% (sell/hedge BAC, regional bank holdings) and initiate a 1–2% short position in KRE to express NIM compression if cuts accelerate or unemployment >5% over next 6 months.
• Allocate 3–4% to long 7–10yr Treasuries (TLT or duration futures) to capture expected 25–75bp rally into 2026; add on any 10y yield spike above 3.8% and take profits if 10y falls below 2.9%.
• If holding SPGI, buy 6-month 5–10% OTM puts sized to 0.75–1% of portfolio or initiate a 0.75–1% short position within 30 days to hedge slower data/M&A revenue; reassess after next two economic prints (Jan–Mar).