Search
Login

Boorkmark

A
12
Emerging Manager Essays
A
Employee at MIT endowment fund giving advice to aspiring managers
2022/01/10 15:30
Articles
Emerging Manager Essays
B
8
CapitalVX: A Machine Learning Model for Startup Selection and Exit Prediction by Greg Ross, Sanjiv Ranjan Das, Daniel Sciro, Hussain Raza :: SSRN
B
Using a big data set of venture capital financing and related startup firms from Crunchbase, this paper develops a machine-learning model called CapitalVX (for “Capital Venture eXchange”) to predict the outcomes for startups, i.e., whether they will exit successfully through an IPO or acquisition, or fail. Using a large feature set, the out-of-sample accuracy of predictions on startup outcomes and follow-on funding is 88%. This research suggests that VC/PE firms may be able to benefit from using machine learning to screen potential investments using publicly available information, diverting this time instead into mentoring and monitoring the investments they make.
2021/10/26 15:47
Articles
CapitalVX: A Machine Learning Model for Startup Selection and Exit Prediction by Greg Ross, Sanjiv Ranjan Das, Daniel Sciro, Hussain Raza :: SSRN
TOP