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Challenges in Banning Online Prediction Markets
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SCMP Economy27.06.2026Business1 dk okumaChina

Challenges in Banning Online Prediction Markets

L'essentiel

  • Authorities face challenges in banning and prosecuting online prediction markets, which operate on overseas platforms and allow trading on future events.
  • Major platforms like Polymarket and Kalshi saw billions in trades.

Résumé généré par IA

Pourquoi c'est important

Prediction markets allow crowdsourced trading on future events, operating largely on overseas, unregulated platforms. Authorities face difficulties in enforcement.

Taille de police

Lawyers and a legislator said that while a ban could restrict access to these largely unregulated betting platforms, authorities would face challenges in gathering evidence and prosecuting cases.

“If there were such a ban, we foresee there would be practical challenges for the authorities to crack down on individuals engaging in prediction market transactions online,” said PJ Kaur, counsel in intellectual property at law firm Hogan Lovells.

Primarily operating on overseas websites, prediction markets allow for crowdsourced trading on a wide range of future events, from tomorrow’s weather to political decisions such as election outcomes and geopolitical developments.

Two of the largest platforms are New York-based Polymarket and Kalshi. Polymarket recorded US$1.1 billion in trades on future outcomes over the past seven days, while Kalshi saw US$2.83 billion, according to DeFiLlama, an open-source database on decentralised finance.

Questions ouvertes

  • How will authorities attempt to gather evidence?
  • What specific legal challenges will arise?
  • Will international cooperation be sought?

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This article was originally published by SCMP Economy.

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