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The One Factor That Explains the Struggles of Value, International and Small-Cap Stocks | Kai Wu

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Content provided by Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau 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://ro.player.fm/legal.

In this episode of Excess Returns, we sit down with Kai Wu, founder of Sparkline Capital, for a fascinating discussion about intangible value investing and its global applications. Kai shares his expertise on using machine learning and natural language processing to identify companies rich in intellectual property, brand equity, human capital, and network effects.

We explore why U.S. firms have historically outperformed many international counterparts, with Kai explaining how the gap in intangible asset investment has been a crucial factor. We discuss: How traditional value metrics miss important aspects of modern company value The four pillars of intangible value: IP, brand equity, human capital, and network effects Why international markets have lagged the U.S. and how intangible value can help close this gap The role of AI and machine learning in modern investment analysis A surprising analysis of global patent leadership This episode offers valuable insights for investors interested in both value investing and international diversification. Whether you're a quantitative investor or just interested in understanding how modern companies create value, you'll find plenty to think about in this discussion.

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310 episoade

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iconDistribuie
 
Manage episode 458950699 series 2581243
Content provided by Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau 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://ro.player.fm/legal.

In this episode of Excess Returns, we sit down with Kai Wu, founder of Sparkline Capital, for a fascinating discussion about intangible value investing and its global applications. Kai shares his expertise on using machine learning and natural language processing to identify companies rich in intellectual property, brand equity, human capital, and network effects.

We explore why U.S. firms have historically outperformed many international counterparts, with Kai explaining how the gap in intangible asset investment has been a crucial factor. We discuss: How traditional value metrics miss important aspects of modern company value The four pillars of intangible value: IP, brand equity, human capital, and network effects Why international markets have lagged the U.S. and how intangible value can help close this gap The role of AI and machine learning in modern investment analysis A surprising analysis of global patent leadership This episode offers valuable insights for investors interested in both value investing and international diversification. Whether you're a quantitative investor or just interested in understanding how modern companies create value, you'll find plenty to think about in this discussion.

SEE LATEST EPISODES ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://excessreturnspod.com

FIND OUT MORE ABOUT VALIDEA ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.validea.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FIND OUT MORE ABOUT VALIDEA CAPITAL ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.valideacapital.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FOLLOW JACK Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/practicalquant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/jack-forehand-8015094⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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