A banker with knowledge of a pending merger could theoretically profit before it becomes public
As prediction markets evolve from novelty to mainstream financial instrument, Goldman Sachs and Morgan Stanley have drawn a quiet but consequential line — restricting employees from wagering on outcomes in domains where insider knowledge is not merely possible but probable. The move is less a prohibition than a recognition: that the boundary between professional insight and illicit advantage grows thinner when the same mind that moves markets can also bet on them. In the absence of formal regulatory guidance, Wall Street is writing its own rules, and the rest of the industry is watching closely.
- Prediction markets have grown fast enough that millions of dollars now flow daily through platforms where financial professionals can bet on the very events their jobs give them privileged knowledge about.
- Goldman Sachs and Morgan Stanley have formally restricted employees from wagering on financial outcomes and geopolitical events — the precise categories where insider information is most dangerous.
- Neither the SEC nor the CFTC has issued clear rules governing employee participation in these platforms, leaving banks to police themselves in a regulatory vacuum.
- Other major Wall Street institutions are scrambling to formulate their own policies, with no unified industry standard yet in place and enforcement boundaries still undefined.
- By restricting categories of bets outright rather than monitoring individual trades, banks sidestep the difficult task of proving intent — a compliance calculation as much as an ethical one.
- As these platforms attract larger sums and broader participation, regulatory pressure is expected to intensify, rewarding institutions that acted early and exposing those that did not.
Goldman Sachs and Morgan Stanley have moved to restrict employees from participating in prediction markets — digital platforms where users wager on financial events, elections, and geopolitical conflicts — citing the risk that professionals with access to material nonpublic information could exploit these venues for illicit gain. The restrictions represent a formal acknowledgment that prediction markets have grown popular enough among Wall Street workforces to demand compliance guardrails.
The concern is structural. A banker aware of a pending merger, a trader anticipating an earnings miss, or an analyst holding confidential client data could theoretically use prediction markets to profit before that information becomes public — a form of insider trading that existing securities law was not designed to address. The restrictions at Goldman and Morgan Stanley are not blanket bans; they target the highest-risk categories: bets on stock prices, currency movements, interest rates, and geopolitical conflicts — precisely the domains where financial professionals are most likely to hold an unfair informational edge.
The broader industry is grappling with the same problem, though no unified standard has emerged. Some firms are still drafting policies; others have already implemented similar restrictions. The regulatory landscape offers little guidance — the SEC and CFTC share jurisdiction over different aspects of these platforms but have published no detailed rules on employee participation, leaving institutions to make their own risk judgments.
By restricting categories of bets outright rather than attempting to trace individual trades back to specific knowledge, banks avoid the evidentiary burden of proving intent. It is a compliance posture as much as an ethical one. Whether these internal measures will satisfy regulators remains an open question. As prediction markets continue to grow and attract serious capital, pressure for formal oversight will likely mount — and the institutions that moved first may find they have built their compliance infrastructure before it was required of them.
Goldman Sachs and Morgan Stanley have moved to restrict their employees from betting on prediction markets, citing the risk that financial professionals with access to material nonpublic information could exploit these platforms for illicit gain. The restrictions mark a formal acknowledgment by two of Wall Street's largest institutions that prediction markets—digital platforms where users wager on the outcomes of financial events, elections, and geopolitical conflicts—have grown popular enough among their workforce to warrant compliance guardrails.
Prediction markets have expanded rapidly over the past few years, evolving from niche betting venues into platforms where millions of dollars flow daily. They allow participants to place bets on everything from stock market movements and interest rate decisions to election results and military conflicts. For financial professionals, the appeal is obvious: these markets offer real-time probability assessments of events that could move markets or affect their firms' business. But that same appeal creates a problem. A banker with knowledge of a pending merger, a trader aware of an upcoming earnings miss, or an analyst privy to confidential client information could theoretically use prediction markets to profit from that knowledge before it becomes public—a form of insider trading that existing securities laws were not designed to address.
The restrictions imposed by Goldman Sachs and Morgan Stanley are not blanket bans. Rather, they target specific categories of bets that pose the highest compliance risk. Employees are now prohibited from wagering on prediction markets related to financial outcomes—stock prices, currency movements, commodity prices, and interest rates—as well as geopolitical events like wars and military conflicts. The logic is straightforward: these are precisely the domains where Wall Street professionals are most likely to possess material nonpublic information or where their firms have direct business interests.
The moves by Goldman and Morgan Stanley suggest that other major financial institutions are grappling with the same problem. Sources familiar with the matter indicate that Wall Street banks more broadly are developing internal policies around employee participation in prediction markets. Some firms are still in the early stages of formulating rules; others have already implemented restrictions similar to those at Goldman and Morgan Stanley. The lack of a unified industry standard reflects the novelty of the challenge. Prediction markets are not new, but their growth and accessibility have accelerated only recently, outpacing the ability of compliance departments to develop comprehensive frameworks.
Regulators have not yet issued formal guidance on prediction markets and insider trading, leaving financial institutions to police themselves. The Securities and Exchange Commission and the Commodity Futures Trading Commission have jurisdiction over different aspects of these platforms, but neither has published detailed rules governing employee participation. This regulatory vacuum has forced banks to make their own judgments about what constitutes unacceptable risk. Goldman Sachs and Morgan Stanley have chosen to err on the side of caution, restricting categories of bets rather than waiting for enforcement actions to clarify the boundaries.
The restrictions also reflect a broader shift in how Wall Street thinks about compliance. Insider trading enforcement has traditionally focused on stock trading and options markets, where the mechanics of illicit profit-taking are well understood. Prediction markets operate differently—they are decentralized, often international, and harder to monitor than traditional exchanges. An employee betting on a prediction market leaves a digital trail, but that trail may be difficult for compliance teams to connect to material nonpublic information. By restricting certain categories of bets outright, banks avoid the need to prove intent or knowledge in individual cases.
What remains unclear is whether these internal restrictions will prove sufficient to satisfy regulators, or whether prediction markets will eventually attract formal SEC or CFTC oversight. As these platforms continue to grow and attract larger sums of money, the pressure for regulatory action will likely intensify. Financial institutions that have already implemented restrictions may find themselves ahead of the curve, having established compliance infrastructure before rules are mandated. Those that have not yet acted face mounting pressure to do so, lest they be seen as indifferent to insider trading risks or, worse, as having failed to prevent their employees from exploiting material nonpublic information.
A Conversa do Hearth Outra perspectiva sobre a história
Why would a bank care what its employees bet on in a prediction market? Isn't that their personal money?
Because prediction markets are betting on real outcomes—stock prices, interest rates, geopolitical events. A banker who knows a merger is coming could bet on the stock price moving. That's insider trading, just in a different venue.
But prediction markets aren't stock exchanges. How would regulators even know?
That's the harder question. The bets leave a digital trail, but connecting that trail to material nonpublic information is difficult. Banks are restricting categories of bets rather than trying to police individual trades.
So Goldman and Morgan Stanley are just being cautious?
Partly. But they're also filling a vacuum. Regulators haven't issued formal guidance yet. Banks have to decide for themselves what's too risky.
What happens if regulators do step in?
Then the banks that already have restrictions in place will look responsible. Those that don't will face pressure to catch up—or worse, face enforcement actions.
Are other banks doing the same thing?
Sources suggest they are, but there's no unified standard yet. Each firm is making its own judgment about where to draw the line.