Market Crash: The Financial Stocks I'd Buy Without Hesitation

U.S. indexes briefly entered correction territory (>10% off highs) in late March, creating buying opportunities for attractively priced, cash-generating names. Berkshire Hathaway is down ~11% from its 52-week high, trades at ~1.4x book, holds ~$373B cash and has resumed buybacks under new CEO Greg Abel. Progressive is off >33% from a $292 peak, trades at a P/E of ~10, reported premiums in force +10% and net premiums earned +8% (combined ratio 85% YTD) and paid $13.50/sh last year (~7% yield at current price). S&P Global trades ~29x trailing and 22x forward earnings, holds ~50% U.S. ratings share and 53 consecutive years of dividend increases, though AI risks to data-terminal business are noted.

Analysis

Management-driven changes in capital allocation at large diversified issuers create convex, idiosyncratic returns that are poorly captured by headline indices — the market often underprices optionality embedded in a large public-equity portfolio combined with discretionary buybacks or variable dividends. That optionality can compress the conglomerate discount quickly once investors re-rate managerial intent, and it also reduces the pool of dry powder for distressed M&A, leaving smaller opportunistic acquirers as second-order beneficiaries.

In insurance, underwriting cycles and investment-income dynamics are the dominant drivers of earnings volatility; small moves in loss frequency, reserve development, or reinvestment yields produce outsized EPS leverage. This creates cheap, asymmetric option-like payoff profiles rather than simple dividend plays — the most tradeable exposures are volatility and event-driven (catastrophe or reserve release) outcomes, not buy-and-hold yield.

Data and index providers face a bifurcated AI outcome: commoditization pressure on undifferentiated feeds versus rising demand for validated, audited, licensed data that regulators and institutional users will pay to avoid liability. The near-term price action is being driven by flow and quant de-grossing in software/data, but structural reinvention through new licensing and regulatory stickiness can re-sequence revenue growth over 12–36 months.

Technicals matter: rapid de-risking in growth/tech has left pockets of liquidity vacuum in quality cyclicals and financials, amplifying moves as buybacks and concentrated passive ownership change free float dynamics. Key catalysts to watch over the next 3–12 months are corporate earnings cadence, reinsurance renewals, and headline-driven shifts in credit spreads that will re-price both insurers and data/licensing businesses.

Key Decisions for Investors

• Pair trade (6–12 months): Long BRK-B (or BRK-A exposure) / Short S&P 500 futures sized to neutralize beta (~2–3% net equity exposure). Rationale: capture potential conglomerate-discount compression and convex upside from large public-portfolio rehypothecation while hedging market risk. Target gross upside 12–25%; stop/trim if relative underperformance >10% or if credit spreads widen materially.
• Options income (3–6 months): Sell cash-secured put spread on PGR at ~10–15% OTM strikes (collect credit, hedge with further OTM put). Rationale: monetize insurer volatility and underwriting optionality with defined downside. Expect effective yield pickup (premium/current-price) of mid-single digits; max loss = strike width minus premium.
• Relative-value: Short SPGI / Long CME (9–18 months) — equal-dollar pair. Rationale: express view that AI/comms-driven fee compression will hit standalone data/software exposure more than exchange-linked index/licensing franchises; CME captures transaction-driven volumes and derivative-flow resilience. Risk: if AI increases data monetization, this pair can lose; cap size to 1–2% NAV and hedge with a protective put on the short leg.
• Macro hedge (0–3 months): Buy staggered short-dated SPX puts or VIX calls to protect concentrated long exposures ahead of earnings and macro risk windows. Rationale: liquidity vacuum and rapid re-pricing can inflict >10% downside in compressed timeframes; pay small premium to avoid forced deleveraging.