This study examines the predictive power of textual information from S-1 filings in explaining initial public offering (IPO) underpricing. The authors’ approach differs previous research because they utilize several machine learning algorithms to predict whether an IPO will be underpriced or not, as well magnitude Using a sample 2,481 US IPOs, find that can effectively complement financial vari...

This research examines the long-term effect of IPO underpricing on aftermarket liquidity for firms that decided to go public IDX between period 2016 2019. Additionally, this also employs firm size, ownership structure, performance, and underwriter reputation as control variables. The sampling method used is a purposive total 122 companies listed IDX’s main development boards are samples. analys...