Mergers of public sector banks: Best partner selection using a data-driven approach

Authors

Meera Laetitia B. Aranha, T. A. Pai Management Institute
Mrutyunjay Mahapatra, T. A. Pai Management Institute
Remya Tressa Jacob, T. A. Pai Management Institute

Document Type

Article

Publication Title

Finance Research Letters

Abstract

This study investigates the selection of the best partners while merging the public sector banks in India. It is set in the context of the announcement of the mega-merger of multiple Indian public sector banks on 30th August 2019. Using the clustering technique (a machine learning approach) and Data Envelopment Analysis (DEA), we identify ideal merger combinations with better efficiency. The findings highlight the possibility of identifying ideal merger combinations using objective techniques.

DOI

10.1016/j.frl.2024.105297

Publication Date

5-1-2024

Recommended Citation

Aranha, Meera Laetitia B.; Mahapatra, Mrutyunjay; and Jacob, Remya Tressa, "Mergers of public sector banks: Best partner selection using a data-driven approach" (2024). Open Access archive. 10439.
https://impressions.manipal.edu/open-access-archive/10439