The policy change follows a growing realization that prediction markets offer new avenues for employees to capitalize on nonpublic information. While a spokesperson for Goldman Sachs declined to detail the specific policy, the firm maintains that existing rules prohibit the use of material, nonpublic information for trading across any asset class. This explicit ban signals a shift in how major firms view the unique risks posed by event-based betting platforms.
Legal experts note that monitoring these markets is increasingly complex, as contracts can cover an expansive range of corporate and political developments. The urgency of this issue was underscored in May, when U.S. authorities charged a Google employee with using confidential data to profit approximately $1.2 million from prediction market trades. Following this, major institutions like JPMorgan Chase, Morgan Stanley, and Bank of America have begun reviewing or updating their internal guidance to address similar vulnerabilities.
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