CapitalVX: A machine learning model for startup selection and exit prediction

CapitalVX: A machine learning model for startup selection and exit prediction

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, f...

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Bibliographic Details
Main Authors: Greg Ross, Sanjiv Das, Daniel Sciro, Hussain Raza
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-11-01
Series:Journal of Finance and Data Science
Subjects:
Machine learning
Ensemble models
Exit prediction
Funding prediction
Private equity
Venture capital
Online Access:http://www.sciencedirect.com/science/article/pii/S2405918821000040

Internet

http://www.sciencedirect.com/science/article/pii/S2405918821000040

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