ATTENTION/WARNING - NE PAS DƉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mƩmoire sur ce site mais bien Ơ l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

The Informativeness of ICO Whitepapers, A Topic Modeling Approach

(2021)

Files

DEVEUX_70011800_2021.pdf
  • Open access
  • Adobe PDF
  • 366.81 KB

Details

Supervisors
Faculty
Degree label
Abstract
The ICO industry is growing fast and becomes increasingly integrated into business models of young companies. However, this inherently unregulated environment is plagued by information asymmetry. It is thus essential to determine the ICO success factors that will help entrepreneurs as well as investors to identify valuable token sales. We take a new angle compared to previous ICO success research by examining the importance of the thematic content in ICO whitepapers. To do so, we use a topic modeling approach to quantify the potential informational value of the thematic content. We employ a database of 1848 ICOs between 2016 and 2020 from ICO.Bench.com. We show that topics matter for the ICO success (TokenTradedHistorical), the amount raised by the ICO (AmountRaised) and its return relative to the market return (AbnormalIR). In a second step, we discuss the different topics that are of interest to investors. We show that blockchain related topics positively impact the success while law category reacts negatively.