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Financial Giants Implement Stricter Policies on Prediction Markets

Major financial institutions like Goldman Sachs and Morgan Stanley are introducing new internal rules to govern employee participation in prediction markets, citing concerns over potential misuse of confidential information.

News Published 10 July 2026 4 min read Ethan Reed
Financial professionals examining data on computer screens in an office
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Major financial institutions are responding to the growing popularity of prediction markets by implementing more stringent internal policies. Goldman Sachs and Morgan Stanley are among the firms reportedly cracking down on employee involvement in these platforms, driven by concerns that they could be exploited for trading on non-public information.

The rapid expansion of prediction markets, which allow users to wager on the outcomes of real-world events, has prompted banks and regulators to re-examine existing safeguards. These platforms cover a wide array of events, from economic indicators and political developments to corporate performance.

Goldman Sachs’s New Internal Policies

Goldman Sachs has reportedly introduced internal policies specifically designed to prohibit employees from participating in prediction market contracts related to sensitive areas. These include economic indicators, political outcomes, and financial markets. The primary objective of these restrictions is to prevent employees from leveraging confidential knowledge gained through their professional roles for personal financial gain. While the bank has not publicly disclosed the specific details of this new policy, it has reaffirmed its long-standing stance against the use of non-public information for personal profit, as noted by CNBC.

Morgan Stanley’s Code of Conduct Updates

Following a similar trajectory, Morgan Stanley has also updated its approach. The firm has integrated rules pertaining to trading in prediction markets directly into its employee code of conduct. Although specific details of these new rules remain undisclosed, this move signals a broader trend among leading financial institutions to exert greater control over emerging trading avenues.

Concerns Over Insider Trading

The heightened scrutiny comes amid a significant surge in the popularity of prediction market platforms like Kalshi and Polymarket. These platforms enable users to place bets on a diverse range of events, creating new avenues for potential insider trading. Legal experts have voiced concerns that the broad scope of available contracts could provide opportunities for employees to profit from knowledge that might influence the probability of certain outcomes.

A recent high-profile case involving a Google tech worker accused by U.S. regulators of using inside information to profit on a forecasting site has amplified these worries. This case is viewed as a potential indicator of how existing insider trading regulations might be applied to this evolving landscape. Despite the growing risks, many companies have yet to establish clear policies specifically addressing prediction markets, leaving corporate clients seeking guidance on navigating this uncharted territory.

Industry advisors note that while some companies rely on general insider trading rules, explicit policies for prediction markets can offer employees clearer boundaries. Regulators are still in the process of defining their approach, with limited precedent and considerable flexibility in pursuing violations. This regulatory uncertainty has prompted companies to act proactively rather than wait for formal guidance.

Platform Monitoring and Employer Responsibility

Prediction market operators themselves are enhancing their monitoring efforts through partnerships with analytics and compliance firms to detect suspicious activities and improve transparency. However, experts emphasize that the ultimate responsibility lies with employers to educate their staff and enforce internal controls effectively.

Key facts

AspectDetails
Companies Implementing RulesGoldman Sachs, Morgan Stanley
Primary ConcernMisuse of confidential information for trading on prediction markets
Regulatory LandscapeEvolving, with limited precedent and proactive company responses
Enforcement ExampleGoogle tech worker accused of insider trading on a forecasting site

This development is significant for PlayVideoPoker readers as it highlights the increasing regulatory attention on financial markets and the potential for conflicts of interest, even in seemingly tangential areas like prediction markets. For individuals involved in financial industries, understanding these evolving compliance landscapes is crucial to avoid inadvertent violations.

Source: GamblingNews – Wall Street Tightens Rules for Prediction Markets – https://www.gamblingnews.com/news/wall-street-tightens-rules-for-prediction-markets/

Financial professionals in a modern office setting reviewing digital data on screens

Fuente

GamblingNews Publicacion original: 2026-07-10T07:12:02+00:00