by Quantcast – a Risk.net Cutting Edge podcast
Conversations around the latest articles and topics covered by Risk.net's Cutting Edge team.
Language
🇺🇲
Publishing Since
1/25/2018
Email Addresses
1 available
Phone Numbers
0 available
March 27, 2025
Trio of senior quants explain how autoencoders can reduce dimensionality in yield curves
March 5, 2025
Lyudmil Zyapkov on modelling forward variance skew
February 7, 2025
Adia quant explains how to apply hierarchical risk parity to a minimum-variance portfolio
Corey Hoffstein
Niels Kaastrup-Larsen
Hedge Fund Manager Erik Townsend
Ted Seides – Allocator and Asset Management Expert
Bloomberg
Patrick McKenzie
Financial Times
Lex Fridman
Financial Times
The Overlap
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.