Research Article
Bankruptcy Prediction: Evidence-based Experiences in the Banks
@INPROCEEDINGS{10.4108/eai.7-9-2021.2314783, author={Sanaa Hasan Hilo and Khelood A. Mkalaf}, title={Bankruptcy Prediction: Evidence-based Experiences in the Banks}, proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2022}, month={1}, keywords={altman z-score’s model financial distress predicting failure financial ratios bankruptcy private banks}, doi={10.4108/eai.7-9-2021.2314783} }
- Sanaa Hasan Hilo
Khelood A. Mkalaf
Year: 2022
Bankruptcy Prediction: Evidence-based Experiences in the Banks
IMDC-IST
EAI
DOI: 10.4108/eai.7-9-2021.2314783
Abstract
This study aims to predict the bankruptcy of private banks by adopting Altman Z-score's model. The financial position of these banks had been classified into three zones: safe zone, gray zone, and distress zone. Five of the famous private banks were selected that achieved the research objectives. The most important result of this study is to determine the financial position of these private banks that are located in the failure zone and financial hardship area. A major suggestion is needed to apply the Altman Z-score's models to avoid and reduce financial risks. It also contributes to identifying the weaknesses and strengths of the bank's financial position. As it assists bank managers in solving these problems in time.
Copyright © 2021–2024 EAI