Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Daniel Mahr – Glass Box Quant at MDT Advisers (EP.472)

55:48
 
Share
 

Manage episode 520343009 series 2846235
Content provided by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This Sponsored Insight features Daniel Mahr, Head of MDT, the $26 billion quantitative equity investing group at Federated Hermes that oversees a suite of actively managed mutual funds, ETFs, collective investment trusts, and separately managed accounts. Dan joined the firm in 2002 as a junior analyst and took over leadership of the team six years later, guiding its evolution through vast changes in data, computing power, and investment methodology. Our conversation traces Dan's path from flipping IPOs as a college student to running machine learning models across global equity markets. We discuss the development of MDT's decision tree framework — a "glass box" approach to stock selection that blends transparency with sophistication — and how the team balances analytical rigor with human judgment. Dan explains lessons from two decades of modeling markets, including the challenges of overfitting and underfitting data, and MDT's steadfast focus on analytical edge, rather than informational edge.

Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership

Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

  continue reading

750 episodes

Artwork
iconShare
 
Manage episode 520343009 series 2846235
Content provided by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ted Seides – Allocator and Asset Management Expert, Ted Seides – Allocator, and Asset Management Expert or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This Sponsored Insight features Daniel Mahr, Head of MDT, the $26 billion quantitative equity investing group at Federated Hermes that oversees a suite of actively managed mutual funds, ETFs, collective investment trusts, and separately managed accounts. Dan joined the firm in 2002 as a junior analyst and took over leadership of the team six years later, guiding its evolution through vast changes in data, computing power, and investment methodology. Our conversation traces Dan's path from flipping IPOs as a college student to running machine learning models across global equity markets. We discuss the development of MDT's decision tree framework — a "glass box" approach to stock selection that blends transparency with sophistication — and how the team balances analytical rigor with human judgment. Dan explains lessons from two decades of modeling markets, including the challenges of overfitting and underfitting data, and MDT's steadfast focus on analytical edge, rather than informational edge.

Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership

Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

  continue reading

750 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play