Trump economic advisor Kevin Hassett touts ‘best Black Friday that we've ever seen' as holiday spending surges

U.S. holiday online sales posted strong gains with Adobe reporting $11.8 billion in Black Friday online sales (up 9.1% YoY), $6.4 billion on Thanksgiving, and Cyber Monday expected to reach $14.2 billion (up 6.3% YoY), while a Deloitte survey found 82% of consumers plan to shop between Thanksgiving and Cyber Monday though average planned spend fell 4% to $622. White House economic adviser Kevin Hassett attributed the surge to higher incomes and lower inflation (cited ~2.5%), while critics point to higher costs from tariffs and other household expenses; the data imply a supportive backdrop for U.S. retail and consumer discretionary names but contain political framing that warrants cautious interpretation.

Analysis

Market structure: Strong Black Friday/Cyber Monday online prints (Cyber Monday ~$14.2bn, Black Friday +9% YoY) favor e‑commerce platforms, payments processors and data/analytics providers (AAPL as device-driven sales catalyst; ADBE for analytics insights). Brick‑and‑mortar discretionary names with omnichannel execution (TGT, AMZN, select mall REITs) pick up share vs low‑margin discounters; card issuers see NIM uplift if revolving balances rise. Cross‑asset: better consumer prints tend to steepen the curve (higher growth/inflation breakevens) -> beat duration, favor cyclicals, small USD strength and modest commodity upside (oil +, gold -).

Risk profile: Near‑term upside concentrated in Nov–Jan (days–weeks) but tail risks include a consumer credit shock or Fed tightening if CPI surprises (+0.3pp moves policy odds materially). Hidden dependencies: spending concentration among higher‑income cohorts, savings drawdown, and inventory destocking that will compress H1 2026 sales if retailers overstock. Key catalysts: Dec payrolls, Dec CPI, and retailer December comp guidance (weekly cadence).

Trade implications: Tactical overweight cyclicals/retail and analytics: consider 1–3% sized exposures with defined option collars to cap downside into January 2026 payroll/CPI prints. Execute pair trades (XLY long vs XLP short) to express rotation; reduce fixed‑income duration by ~20% of portfolio to hedge steeper yield risk. Use short‑dated call spreads on AAPL/ADBE to capture seasonality while limiting premium outlay.

Contrarian view: Consensus that ‘consumer is fine’ may be overstated — Deloitte shows planned spend per shopper fell 4% and headline gains can be driven by ticket inflation and wealth effects concentrated at the top. If CPI reaccelerates or tariffs push input costs, revenue beats could still translate to margin misses; the market may be under‑pricing a Q1 2026 reversion to weaker same‑store trends.

Key Decisions for Investors

• Establish a 2% long position in AAPL via a 6–10 week 10%/20% OTM call spread (debit) to capture device/gift seasonality; target +15–25% upside by end‑Jan 2026, cut to flat if AAPL drops 8% from entry.
• Initiate a 1.5–2% long in ADBE via buying 3‑month ATM calls (or 3% outright equity) to capture increased analytics demand; take profits at +12% or exit if next quarter guide misses consensus by >4%.
• Implement a relative‑value pair: long XLY (2%) vs short XLP (1.5%) to express cyclical retail rotation; rebalance or close if the 10y yield falls >25bp or if Dec CPI prints > consensus +0.3pp which would reverse the trade.
• Reduce portfolio fixed‑income duration by ~20% of bond allocation (shift into 3‑6 month T‑bills or floating‑rate notes) immediately to hedge risk of modest yield steepening; restore duration if 10y yield falls >40bp.
• Monitor three catalytic data points for stop/scale decisions: Dec nonfarm payrolls (threshold: <+150k weakens cyclicals), Dec CPI (threshold: >consensus+0.3pp triggers unwind of cyclicals), and leading retailer weekly comps (3 consecutive weeks of negative comps -> trim retail exposure).