Predicting Greek high growth firms using machine learning methods

• Main Author: Κωστοπούλου, Αλεξάνδρα
• Other Authors: Kostopoulou, Alexandra
• Language: English
• Published: 2021
• Subjects: Forecasting; High-growth firms; Low-growth firms; Random forest al gorithm; Variable Importance; Πρόβλεψη; Σημαντικότητα μεταβλητής; Αλγόριθμος τυχαίων δασών; Επιχειρήσεις χαμηλής μεγέθυνσης

The asymmetric outcomes of firms’ performance due to conceptual heterogeneities have considerably drawn the attention of scientific community. The aim of this dissertation is to detect what determines high-growth firms (HGFs). A random forest approach is then used to predict whether a Greek firm...