Fine-tuning transformer models for M&A target prediction in the U.S. ENERGY sector

Fine-tuning transformer models for M&A target prediction in the U.S. ENERGY sector

This study explores the application of transformer models directly for classification in predicting mergers and acquisitions (M&A) targets within the U.S. energy sector. The primary objective is to evaluate the capability and performance of various transformer-based models in directly predicting...

Full description

Saved in:
Bibliographic Details
Main Authors: Inés Rodríguez-Muñoz-de-Baena, María Coronado-Vaca, Esther Vaquero-Lafuente
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Business & Management
Subjects:
Mergers and acquisitions (M&A)
renewable energy
takeover target prediction
green M&A
natural language processing (NLP)
transformer models
Online Access:https://www.tandfonline.com/doi/10.1080/23311975.2025.2487219
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.tandfonline.com/doi/10.1080/23311975.2025.2487219

Similar Items