Kalshi, prediction markets face legal hurdles

Monthly trading volume in prediction markets reportedly surged from $1.2B to $20B (early 2025 to January), but Kalshi and peers face mounting legal and regulatory risk as states press gambling laws and prosecutors. The 3rd Circuit granted Kalshi permission to operate in New Jersey while finding federal preemption likely; the 9th Circuit will hear Nevada’s challenge next week, and Arizona filed a 20-count criminal information against Kalshi. The CFTC has intervened backing federal jurisdiction under the Commodity Exchange Act, leaving open the prospect of a sector-defining Supreme Court decision that could determine state vs. federal regulatory control.

Analysis

Regulatory ambiguity is a structural tax on valuation and liquidity for businesses that host event-linked contracts; the key second-order winner from clarity will be firms that already own deep-clearing rails and credit relationships because institutional participants demand margin, custody and legal certainty. When professional liquidity providers enter, bid-ask spreads on bespoke event contracts should compress by multiples (we model a 3–5x improvement), which increases turnover and opens fee pools that are capital-light for incumbent exchanges.

The largest asymmetric risks are idiosyncratic — regulatory fiat that removes categories of contracts and state-level criminal enforcement campaigns that force platforms into de-risking or geographic exit. Those actions create binary instrument-level shocks (instant delisting of a sensitive contract) and a persistent compliance cost that scales roughly linearly with monthly volume; expect operating margins to compress by several hundred basis points for unregulated platforms under sustained enforcement pressure.

Consensus market pricing appears to overweight the immediate criminalization scenario and underweights the upside of federal standardization. If governing authority consolidates and permits a clear, federally supervised product regime, top-tier exchanges and vendors that sell clearing/custody/AML tooling can see revenue upside from institutional adoption and product expansion. That path is binary but realistic within 6–24 months; trade sizing should therefore favor optionality (defined-loss instruments) rather than outright directional exposure to single-platform equity risk.

Key Decisions for Investors

• Long CME (CME) — Buy a 6–12 month call spread (e.g., buy 1x near-the-money, sell 1x higher) sized 1–2% of portfolio. Rationale: captures upside from institutional onboarding and increased clearing volumes; capped premium limits downside to option cost, target >2x payoff if rule consolidation occurs within 12 months.
• Relative pair: Long ICE (ICE) / Short DraftKings (DKNG) — 6–18 month horizon, equal notional. Rationale: ICE benefits from new federally cleared product flows and data services; DKNG faces competitive and tax erosion if national markets dilute state gambling franchises. Risk: state protections or new revenue-sharing models could blunt DKNG downside; keep position size modest (1% net exposure).
• Buy protection on unregulated crypto/play-to-bet venues via COIN options — Purchase long-dated (9–15 month) puts or buy protective collars sized for 0.5–1% position. Rationale: shields portfolio from contagion if enforcement or high-profile contract shutdown triggers liquidity flight. Reward: asymmetry — limited premium, large downside protection in regime-change scenarios.
• Event-driven opportunistic entry — Accumulate the above into tranches tied to legal/regulatory milestones (news-driven re-prices). Use defined-loss option/pair structures to keep maximum drawdown predetermined; target portfolio-level allocation to this theme of 3–5% given high policy risk and binary outcomes.