Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model
In this study, we investigated and determined the financial indicators that significantly affect the performance of initial public offerings (IPOs) by using the Multi-Logistic Regression (MLR) method based on several financial variables as independent variables extracted from prospectuses. The prosp...
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| Main Authors: | Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-03-01
|
| Series: | Data Science in Finance and Economics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/DSFE.2025006 |
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