Fundamental analysis of Initial Coin Offerings

Abstract

This study endeavours to discern the pivotal factors contributing to the success of initial coin offerings (ICOs) on a global scale. Through a comprehensive analysis of ICO characteristics, we explore the intricate relationship between these attributes and the ultimate success of ICO projects. Our empirical findings show that projects that have secured presale funding, coupled with comprehensive token sale information, exhibit a markedly increased likelihood of achieving ICO success. We also employ the automated machine learning method to offer valuable insights into the potential determinants of ICO success. Furthermore, we delve into the underlying rationale behind ICO success by employing SHAP values to discern the relative importance of various ICO characteristics and examine the correlations among these attributes. This research contributes to a deeper understanding of ICO dynamics and offers empirical evidence regarding the critical factors that shape the success of ICO projects. Such insights hold significant implications for both industry practitioners and policymakers seeking to navigate the evolving landscape of blockchain-based fundraising initiatives.