Essays about: "funding early stage"

Showing result 1 - 5 of 29 essays containing the words funding early stage.

1. 1. Analysis of setups and investment processes within university affiliated venture capitals : A descriptive multi-case study

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Andreas Schuler; Hannes Rannversson; [2023]
   Keywords : Venture Capital; University-affiliated venture capital; Investments;

   Abstract : With the increasing importance of the third mission of universities, namely the commercialisation of science and research, universities have established various mechanisms such as technology transfer offices, business incubators and more. Since many investors tend not to invest in university spin-offs and start-ups due to the risk associated with their early stage, universities have established their own investment units, referred to as university-affiliated venture capital, to provide funding for university spin-offs and start-ups. READ MORE

3. 2. INTEREST RATES AND VENTURE CAPITAL INVESTMENTS: Early evidence of the heterogeneous effects of rising interest rates across funding stages

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Eric Persson; Johan Skantz; [2023]
   Keywords : Venture Capital Investments; VC; Monetary Policy; Interest Rates;

   Abstract : This thesis examines the impact of rising central bank interest rates on European venture capital investment activity between 2016 and the first quarter of 2023. Using a comprehensive dataset of 32,832 funding rounds across different funding stages, we run a set of regressions to study the relationship between interest rates and VC investments measured by total invested amounts, number of rounds, and average round size. READ MORE

4. 3. VC Funding & Success of Clean Tech Startups: Impact of Exogenous Demand Shocks

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Jakub Horyna; Finn Aretz; [2023]
   Keywords : Venture Capital; Clean Technology; Demand Shocks;

   Abstract : Using a dataset of 51,184 global early-stage venture capital (VC) financing rounds, we examine the impact of exogenous demand shocks on VC funding and success rates in the clean technology sector. Specifically, we investigate the repercussions of the Fukushima Nuclear Disaster (2011) and the Paris Agreement (2015). READ MORE

5. 4. Using Social Media and Personality Predictions to Anticipate Startup Success

   University essay from Lunds universitet/Matematisk statistik

   Author : Daniel Stenson; [2023]
   Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE

6. 5. Portfolio Risk Modelling in Venture Debt

   University essay from KTH/Matematisk statistik

   Author : John Eriksson; Jacob Holmberg; [2023]
   Keywords : Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

   Abstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE