Shownotes
The power law is something that most venture capital investors are aware of, but usually only in the most general sense. Graham Schwikkard, CEO of SyndicateRoom, has just written a white paper on the topic using their data driven approach.
We start on a bit of background, discussing what the power law is and what motivated the paper. Graham then explains how they approached the data, what decisions they made in their analysis and why. Fortunately it did show that returns fit a power law!
We then go into what effect this should have on investors and, most particularly, how they should build a portfolio. We discuss how the characteristics of the power law mean that returns can improve alongside diversification. We also discuss what this says about stock selection and spray and pray approaches. Graham also talks about how different stages of investment give slightly different results and how that influences their investment strategy.
Links
SyndicateRoom - https://www.syndicateroom.com/
White paper on the power law - https://www.syndicateroom.com/invest/whitepaper-power-law
Subscribe to the EIS Navigator podcast on most services here: https://the-eis-navigator.captivate.fm/listen
Suggested book:
The Food Lab by J. Kenji López-alt
Brian also mentioned The Power Law by Sebastian Mallaby
Bio
Graham Schwikkard
CEO, SyndicateRoom
SyndicateRoom CEO Graham Schwikkard has over a decade of experience with data science and working with large datasets. He has a fascination with the dynamics of the startup investment network and after coming across the Companies House dataset in 2017, he spent many hours designing much of the analysis behind the Access Fund. Graham would like to see Access become a vehicle for delivering efficient capital throughout the network, and increase the odds of the system producing more Unicorns and economic growth. Prior to working at SyndicateRoom, Graham spent seven years as a management consultant, and has significant experience of helping companies develop market strategies and optimise business models. He also has in-depth technical expertise, focused on maximising efficiency.