Goldman Sachs Limits Employee Betting in Prediction Markets
Goldman Sachs requires employees to strictly adhere to existing policies when betting in prediction markets.
Goldman Sachs explicitly prohibits the use of any material non-public information (MNPI) for all market transactions, including platforms like Kalshi and Polymarket.
In the market mechanism, the compliance department monitors potential conflicts of interest, and personal bets by employees that involve company or client-related events will be subject to scrutiny to prevent insider trading risks. The bank itself can explore prediction market opportunities through institutional channels.
Source: Public Information
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Goldman Sachs has previously addressed similar risks within its compliance framework, such as requiring prior approval for personal securities trading and avoiding blackout periods. Its handling of prediction markets continues this approach, avoiding new specific prohibitions. Historically, Goldman Sachs has faced regulatory pressure in derivatives innovation (e.g., enhanced risk control after 2008), and its reliance on existing MNPI policies reflects a preference for flexible internal controls rather than a blanket ban.
On the capital front, Goldman Sachs CEO David Solomon personally meets with executives from Kalshi and Polymarket and has formed a team to explore collaboration, while maintaining restrictions on employee personal betting. This creates a dual-track strategy of "internal exploration, external control," directing resources toward institutional event contracts to capture derivatives income rather than allowing retail-style personal betting.
Similar cases include hedge funds like Point72 and Balyasny directly prohibiting employees from participating in prediction market trading, as well as Federated Hermes' account holding ban. Goldman Sachs is currently in an industry "observation + limited intervention" phase, ahead of a comprehensive ban but behind more aggressive players.
Essentially, this reflects a capital concentration driven by regulatory changes: as prediction markets shift from retail gambling to CFTC-regulated derivatives tools, large banks concentrate control over information flow and trading permissions through compliance barriers. The mechanism is that the MNPI ban transforms retail-style personal risk into institutional pricing power, avoiding fragmented betting that amplifies systemic reputational and legal exposure.
ABAB News · Cognitive Laws
Prohibitions create walls, capital builds bridges: strict internal controls are necessary for safe external market expansion.
When information asymmetry exists, simpler rules lead to stronger enforcement.
Personal freedom ends where conflicts begin, institutional advantages start with concentration.