Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model

Today's article comes from the journal of Data Science in Finance and Economics. The authors are Alahmadi et al., from King Abdulaziz University, in Saudi Arabia. In this paper they attempt to predict a stock's first month of performance entirely from the data embedded in the company's prospectus.

DOI: 10.3934/dsfe.2025006