Bankruptcy Prediction for Cement Industry in India Using Altman Z Score Model
Pramod Nimbalkar, Marisetty Nagendra
Asian Journal of Economics, Business and Accounting · pp. 77–85 · Published 3 Dec 2022
10.9734/ajeba/2022/v22i24896Abstract
This study is to throw light on the financial performance of selected companies. It is based on Altman's Z score model, particularly for investigating financial soundness. It shows that most of the companies are not in good financial health. To improve the industry's business performance, the companies' financial stability should be maintained appropriately. Moreover, to improve financial performance, technological & managerial up-gradation is required. The general purpose of the study was to use Altman's Z-score model in predicting the corporate failure of financially distressed companies. In this study, we consider selecting ten cement companies for five years and analyzing their bankruptcy prediction. Using Altman's Z score formula, we calculate various factors affecting the company's financial health.
Cited by 3
Maithili Prashant Dhuri, Mrunal Joshi, Ritu Sinha · Corporate Governance and Sustainability Review · 2025
Hamza YETİK, Hasan UYGURTÜRK · Uluslararası Bankacılık Ekonomi ve Yönetim Araştırmaları Dergisi · 2023
Murat Katı · İktisadi İdari ve Siyasal Araştırmalar Dergisi · 2024
Related research
- The Impacts of Future Orientation and Financial Literacy on Personal Financial Management Practices among Generation Y in Malaysia: The Moderating Role of Gender — shares topic coverage
- An Analysis of Financial Performance of the Coal Mining Industries: A Case Study of Raniganj Coalfield of Eastern Coalfield Limited — shares topic coverage
- Rethinking Cement Production: Environmental Impacts and Sustainable Solutions — shares topic coverage
- Corporate Governance and Challenges of Financial Leverage of Privatised Cement Industry in Nigeria — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
3
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.