Tereza Kalendová

Master's thesis

A Machine Learning Approach to Startup Success Prediction in the Context of Venture Capital Industry

A Machine Learning Approach to Startup Success Prediction in the Context of Venture Capital Industry
Abstract:
Startups play a fundamental role as drivers of innovation and growth in today’s world economies, while their failure rate keeps strikingly high. Venture capitalists, as one of the major sources of financing of early-stage companies are continuously seeking to identify promising companies to reach high returns. However, their decision-making is characterized as a time-consuming, labour-intensive and …more
Abstract:
Startups play a fundamental role as drivers of innovation and growth in today’s world economies, while their failure rate keeps strikingly high. Venture capitalists, as one of the major sources of financing of early-stage companies are continuously seeking to identify promising companies to reach high returns. However, their decision-making is characterized as a time-consuming, labour-intensive and …more
 
 
Language used: English
Date on which the thesis was submitted / produced: 13. 12. 2019

Thesis defence

  • Date of defence: 18. 9. 2020
  • Supervisor: Štěpán Bahník
  • Reader: Ondřej Dvouletý

Citation record

Full text of thesis

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http://www.vse.cz/vskp/eid/81662