The Quantopian Podcast

Quant Radio: Out-of-Sample Alphas Post Publication


Listen Later

Ever heard of secret stock market strategies that claim to beat the market? In this episode, we dive into the world of anomaly-based investing and explore a fascinating research paper from top finance scholars at Ohio State, Notre Dame, and Rowan University. The big question: Do these anomalies actually hold up after they’re published, or do they disappear once everyone knows about them?


Join us as we break down 177 anomaly strategies, the difference between in-sample vs. out-of-sample alpha, and why quant investors might have an edge. Can individual investors learn from these pros, or are we all doomed to average returns?


Find the full research paper here: https://community.quantopian.com/c/community-forums/out-of-sample-alphas-post-publication


For more quant-focused content, join us at ⁠⁠⁠⁠https://community.quantopian.com⁠⁠⁠⁠. There, you can explore a wealth of resources, connect with fellow quants, engage in insightful discussions, and enhance your skills through our extensive range of online courses.


Quant Radio is an AI-generated podcast, intended to help people develop their knowledge and skills in Quant finance. This podcast is not intended to provide investment advice.

...more
View all episodesView all episodes
Download on the App Store

The Quantopian PodcastBy Quantopian

  • 5
  • 5
  • 5
  • 5
  • 5

5

2 ratings


More shows like The Quantopian Podcast

View all
Chat With Traders by Ian Cox and Tessa Dao

Chat With Traders

1,990 Listeners

Thoughts on the Market by Morgan Stanley

Thoughts on the Market

1,298 Listeners

All-In with Chamath, Jason, Sacks & Friedberg by All-In Podcast, LLC

All-In with Chamath, Jason, Sacks & Friedberg

9,913 Listeners

Signals and Threads by Jane Street

Signals and Threads

72 Listeners

The Freakonomics Radio Book Club by Freakonomics Radio + Stitcher

The Freakonomics Radio Book Club

236 Listeners

Unhedged by Financial Times & Pushkin Industries

Unhedged

167 Listeners

Papers With Backtest: An Algorithmic Trading Journey by Papers With Backtest

Papers With Backtest: An Algorithmic Trading Journey

2 Listeners