How Likely Is It That the Stock Market Crashes Under President Donald Trump in 2026? 3 Historically Accurate Correlations Weigh In.

Equity benchmarks posted strong gains under President Trump—historical first-term rallies of 57%, 70% and 142% previously, and in 2025 the Dow, S&P 500 and Nasdaq closed the year up roughly 13%, 16% and 20%, respectively—yet three historical correlations raise downside risk for 2026. The author flags that the S&P has posted three consecutive years of 15%+ gains (a pattern that preceded major drawdowns in prior episodes), the S&P's forward P/E is approaching 23 (a level Howard Marks links to muted 10-year returns between +2% and -2%), and 2026 is a U.S. midterm year when peak-to-trough corrections have averaged ~17.5%; offsetting catalysts mentioned include potential lower rates and AI-led gains, and the piece reiterates long-term historical resilience of equities.

Analysis

Market structure: The near-term winners are concentrated AI/automation leaders (NVDA explicitly) and select growth names (NFLX for secular streaming monetization) while broad-cap, high P/E index exposures are most vulnerable if sentiment flips. High forward S&P P/E ≈23 implies limited 10-year nominal returns (Howard Marks’ +2%/–2% band) and magnifies downside: a 15–20% midterm correction is historically probable and would disproportionately punish passive, unhedged exposures. Cross-assets: falling yields on a Fed pivot would boost long duration equities and REITs but compress bank NIMs; expect higher option skew, VIX spike risk, and USD volatility tied to rate differentials.

Risk assessment: Tail risks include a 15–25% midyear drawdown (historical midterm avg 17.5%; Trump first-term ~20%), AI regulatory/antitrust actions against dominant platforms, and a liquidity shock from concentrated ETF/ETF options flows. Immediate (days): elevated skew — buy protection; short term (weeks–months): price discovery around CPI/Fed guidance and midterm polling; long term (years): broad equities still likely positive if held 10+ years but with muted returns from current valuations. Hidden dependencies: corporate buyback pace, margin debt, and concentration of index returns in top 10 names.

Trade implications: Tactical: overweight NVDA (1–3% initial) and NFLX (1%) for secular upside; hedge index beta with 3–6 month SPY put spreads sized to cover 5–10% portfolio drawdown. Use pair trades (long NVDA / short SPY) to express alpha while capping market risk. Rotate 2–4% from cyclical financials/consumer discretionary into staples/healthcare and 7–10y Treasuries if CPI decelerates below 2.5% or Fed signals cuts.

Contrarian angles: Consensus fears of crash may be overstated for best-in-class AI players — corrections will create buying windows; implied volatility is still low relative to historical midterm spikes, so tail hedges (VIX calls or deep OTM SPX puts) are cheap insurance. Historical parallels (1995–99) warn of concentration risk, but today’s earnings/AI-driven cash flows could prevent a pure “dot-com” multiple collapse if adoption accelerates — monitor regulatory actions and buybacks as key inflection signals.

Key Decisions for Investors

• Establish a 2–3% long position in NVDA (ticker NVDA) now; add another 2–3% on any pullback >15% within the next 3 months. Rationale: secular AI exposure with asymmetric upside versus broad index risk.
• Purchase cost-limited protection: buy 3–6 month SPY put spread sized to hedge 5–10% of portfolio downside (buy ~10% OTM put, sell ~20% OTM put). Target cost ≈0.3–0.8% of portfolio; deploy immediately and roll if not exercised by month 3.
• Implement a relative-value pair: long NVDA (2% notional) and short SPY (2% notional) to isolate idiosyncratic AI upside while neutralizing market beta; set stop-losses at 20% on NVDA and cover short SPY if SPY breaks down >15% (take profits if NVDA outperforms SPY by >30%).
• Reduce cyclical exposure (financials/consumer discretionary) by 2–4% and redeploy into consumer staples/healthcare (tickers XLP/VHT) and 7–10y Treasuries (buy TLT or direct 7–10y) if CPI prints two consecutive months <2.5% or Fed signals rate cuts within 90 days; re-evaluate post-midterms.
• Allocate 1–2% of portfolio to volatility tail protection (buy 3-month VIX call spreads or deep OTM SPX puts) to guard against a 15–25% intra-year correction; deploy now while skew is still relatively subdued.