US Election Officials Ban Staff Trading on Non-Public Information
As the US midterm elections approach, election authorities are grappling with a new challenge: public employees possessing insider information about vote counts and an open market where this information can be monetized. To address this, a sweeping ban has been implemented, with Maricopa County, Arizona, already prohibiting approximately 13,000 employees from trading on non-public information. This ban, enacted in July, extends beyond election-related matters to encompass contracts on weather events and court decisions, essentially covering any area where a public servant might possess foreknowledge.
Arizona Governor Katie Hobbs has also signed an executive order barring state employees from trading on insider information in prediction markets. Maricopa County was chosen as the site for this measure due to its status as a focal point of intense political contention since 2020, making sensitivity to election integrity exceptionally high. The rationale behind these decisions is twofold: to prevent conflicts of interest for employees and to shield them from accusations based on market movements.
Prediction markets, where individuals can buy and sell contracts tied to the outcome of events like candidate victories, have evolved from niche betting sites into regulated trading arenas over the past two years. When a public entity imposes insider trading rules on its employees, it effectively treats these markets similarly to stock exchanges. This development carries commercial significance for investors, as trading volumes increase, collaborations with brokers and sports betting platforms emerge, and a unique product, a continuous price reflecting market-implied probabilities, becomes available.
While politics is just the starting point, the same mechanisms are now pricing interest rate decisions, macroeconomic data, and weather events. A key challenge lies in interpretation, as the probabilities presented in prediction markets are not equivalent to opinion polls. A 98% probability of victory does not signify a 98-to-2 lead in polls but rather the market's assessment of a very high likelihood of winning. Polls measure stated voting intentions from a representative sample, whereas prediction markets reflect traders' opinions on the final outcome, accessible to anyone.
This distinction has already caused friction. Earlier this year in Los Angeles, suspicions arose regarding the vote-counting process when the pace of tabulation diverged from market predictions. When contract prices become benchmarks for judging the credibility of vote counts, even minor technical events can escalate into major stories. For Israeli investors, this situation offers two takeaways: firstly, to interpret prediction market data, especially concerning the upcoming midterms and Israel's October 27 elections, as market assessments rather than statistical forecasts, acknowledging their susceptibility to noise and individual traders. Secondly, as prediction markets become more regulated and approach the status of financial instruments, they offer new infrastructure for hedging political risks, akin to futures contracts for commodities.
