ACERCA DE ESTE EPISODIO
Perpetuals are onshore and gaining traction. Jeff Bandman, CEO of Kalshi Prime, joins to discuss how perpetuals work, the expanding range of underlying assets, and the potential introduction of margin for prediction-market event contracts.
Inglés
Estados Unidos
TRANSCRIPCIÓN 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de Prediction Markets Report.
OTROS EPISODIOS EN ESTE PODCAST
Marina D'Angelo, Head of Europe at DLT Law, breaks down the European prediction market landscape, including:
• Gibraltar's new prediction market regulatory regime
• MiFID II and ESMA's recent statement
• MiCA's potential role in regulating prediction markets
• Country-specific gambling regulations
…
John Conlon joins to discuss
1. The story behind the first event contract block trade brokered by Greenlight Commodities
2. Why event contracts offer a unique hedging tool for institutions
3. What is needed for greater institutional adoption
Matt Vegh speaks with Cyrus Chan, Co-Founder and CEO of Saperity. Saperity is a Commodity Trading Advisor (CTA) helping clients use prediction markets for risk management.
Topics include:
1. Using prediction market data to inform business decisions.
2. Executing trades on prediction markets to hed…
In this episode, Matt Vegh speaks with Andy Ross, Head of Institutional at Kalshi.
Topics include:
Kalshi’s strategy for growing institutional adoption of prediction markets.
The value of the data generated by prediction markets.
Kalshi’s expansion into perpetuals and how it fits into the compa…
Daniel Taylor, Wharton Professor, Director of the Wharton Forensic Analytics Lab, and a member of Kalshi's Independent Surveillance Audit Committee discusses:
The similarities and differences between insider trading in equity markets and prediction markets.
Why the claim that insider trading lea…
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de Prediction Markets Report, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.
EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
