Predicting IPO initial returns using random forest
Empirical analyses of IPO initial returns are heavily dependent on linear regression models. However, these models can be inefficient due to its sensitivity to outliers which are common in IPO data. In this study, the machine learning method random forest is introduced to deal with the issues the li...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-03-01
|
| Series: | Borsa Istanbul Review |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214845019302686 |