Constructing an Intangible Asset Based Value Strategy with Kai Wu

Excess Returns

Research has shown that value investing needs to change. Our economy has transitioned from one dominated by tangible assets like buildings and equipment to one dominated by intangible assets such as brands and intellectual property. Although many researchers have looked at the issue of how to value intangible assets, far fewer are looking at how to translate that into an actual investment strategy. 

Our guest this week has done exactly that. 

We speak to Sparkline Capital founder Kai Wu about how he looks at intangible assets and the machine learning based methods he uses to value them.  We also get into the nuts and bolts of constructing an intangible focused value strategy and discuss issues such as selecting an investment universe, determining the number of stocks to hold, position sizing, industry concentration and a lot more. 

We hope you enjoy the discussion. 

ABOUT THE PODCAST

Excess Returns is an investing podcast hosted by Jack Forehand (@practicalquant) and Justin Carbonneau (@jjcarbonneau), partners at Validea. Justin and Jack discuss a wide range of investing topics including factor investing, value investing, momentum investing, multi-factor investing, trend following, market valuation and more with the goal of helping those who watch and listen become better long term investors.

SEE LATEST EPISODES

https://www.validea.com/excess-returns-podcast

FIND OUT MORE ABOUT VALIDEA

https://www.validea.com

FOLLOW OUR BLOG

https://blog.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

FOLLOW JUSTIN

Twitter: https://twitter.com/jjcarbonneau

LinkedIn: https://www.linkedin.com/in/jcarbonneau

To listen to explicit episodes, sign in.

Stay up to date with this show

Sign in or sign up to follow shows, save episodes, and get the latest updates.

Select a country or region

Africa, Middle East, and India

Asia Pacific

Europe

Latin America and the Caribbean

The United States and Canada