'Maximal' ban on insider trading would hurt prediction markets, says researcher

▤ Summary

The article examines how prediction markets should handle insider trading and argues against an outright ban. A researcher from Stevens Institute of Technology says enforcement should be calibrated because some insider information can improve price accuracy and market participation. Kalshi is also tightening its own controls by asking users in sensitive markets to disclose employment information and by assigning risk scores to markets. The piece centers on regulatory policy and market integrity rather than a direct software-company event.

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