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.

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).