Do Your Insider Trading Policies Cover The Prediction Markets? Should They? | Regulatory & Compliance

Key Takeaways

• Prediction markets create event‑based contracts on company outcomes.
• MNPI use in bets violates insider‑trading rules.
• Existing policies often omit explicit prediction‑market language.
• Firms must revise guidelines to include market betting.
• Enforcement risk rises as platforms gain popularity.

Summary

Prediction markets now let participants wager on public‑company events such as stock price moves, earnings‑call language, regulatory outcomes, and management decisions. Although these contracts are structured as event‑based instruments rather than traditional securities, they still rely on the same underlying information. For employees barred from trading on material non‑public information, betting on that information is likewise prohibited. However, many corporate insider‑trading policies have yet to address prediction‑market bets explicitly.

Pulse Analysis

The rapid expansion of prediction‑market platforms has introduced a new class of event‑based contracts that mirror traditional securities without being classified as such. These instruments allow traders to place wagers on outcomes ranging from quarterly earnings surprises to regulatory approvals, effectively monetizing information that may be material and non‑public. As institutional investors and retail participants flock to these markets, regulators are scrutinizing whether existing securities laws apply, especially when the underlying data overlaps with insider‑trading prohibitions.

U.S. insider‑trading statutes focus on the misuse of material non‑public information (MNPI), regardless of the vehicle used to profit from it. Courts have consistently held that any transaction—whether a stock purchase, option exercise, or bet on a prediction market—constitutes a securities violation if it leverages MNPI. Recent enforcement actions against employees who placed bets on earnings‑call language underscore that regulators view prediction‑market activity as a de‑facto trade. Consequently, companies must treat these bets as insider‑trading risks, extending the same duty of confidentiality and prohibition to non‑traditional platforms.

Compliance teams should proactively revise insider‑trading policies to expressly forbid participation in prediction markets tied to company‑specific events. Clear language, regular training, and monitoring of employee accounts on popular platforms can mitigate exposure. Additionally, firms might implement technological controls that flag attempts to access or trade on MNPI‑sensitive predictions. By aligning policy with the evolving landscape, organizations protect themselves from costly investigations while reinforcing a culture of ethical information handling.