Large US financial institutions, including Goldman Sachs (NYSE:GS) and Morgan Stanley (NYSE:MS), are updating their internal policies to restrict staff from engaging in certain types of bets on rapidly growing prediction platforms. These changes aim to mitigate potential conflicts of interest and guard against the misuse of sensitive information in an environment where event-based wagering has surged in popularity.
Prediction markets, such as those offered by platforms like Polymarket and Kalshi, allow participants to place wagers on outcomes ranging from election results and economic indicators to corporate performance and geopolitical developments.
While these venues have attracted mainstream attention for their ability to aggregate crowd wisdom on future events, they have also raised concerns among regulators and compliance officers at large banks.
The fear is that employees with access to non-public information could inadvertently—or deliberately—use it to gain an edge, blurring the lines between legitimate personal investing and prohibited insider activity.
Goldman Sachs has taken one of the firmest stances. According to internal guidance, the bank now prohibits personnel from trading contracts tied to financial markets, political events, macroeconomic data, or company-specific outcomes, including those involving Goldman itself.
The policy explicitly carves out allowances for wagers on sports and entertainment, recognizing that these areas pose minimal risk to the firm’s operations or client relationships.
Violations of the updated personal trading rules could lead to disciplinary measures, potentially including termination and the requirement to surrender any profits from restricted trades.
This move reflects broader industry caution. As prediction markets evolve from niche tools into multi-billion-dollar arenas, banks are proactively addressing regulatory gray areas.
Concerns intensified following high-profile scrutiny of trading activity around notable events, prompting firms to review how employee side bets might intersect with their professional responsibilities.
Goldman’s approach emphasizes preventing both actual and perceived conflicts that could undermine trust in the financial system.
Morgan Stanley has similarly incorporated guidelines on prediction-market activity into its employee code of conduct.
While specifics remain less detailed publicly, the policy sits alongside existing rules governing personal trading and investing.
Other institutions, such as JPMorgan Chase, have adopted more general cautions, advising staff to exercise care when participating in any contracts that might touch on confidential sectors or information.
The updates come at a time when prediction platforms are under increasing regulatory examination.
Authorities worry that these markets could serve as vehicles for information leakage, especially around sensitive topics like Federal Reserve decisions, corporate earnings, or election cycles.
By formalizing restrictions, banks aim to protect their reputations, safeguard client interests, and maintain compliance with securities laws that strictly prohibit trading on material non-public information.
Industry professionals note that these policies highlight a tension between innovation in financial technology and traditional risk management.
Prediction markets offer valuable signals on probabilities, yet they also create new compliance challenges for organizations where information security is paramount.
Employees are still free to engage in benign recreational betting, but the line is now clearly drawn around topics that could overlap with their daily work in finance and policy analysis.
As the sector matures, more institutions are expected to refine their stances. The emphasis remains on fostering a culture of integrity while navigating the digital evolution of betting and information markets. Banks continue to stress that core prohibitions on insider trading apply universally, regardless of the trading venue.