Helastica, Megalasmi and Paramita, Santi (2014) Analysis Financial Distress Prediction With Model Altman Z-Score, Zmijewski, And Grover In The Sub Sector Retail Listed On The Indonesian Stock Exchange (Idx) 2014-2018 Period. In: Proceedings of The International Conference on Environmental and Technology of Law, Business and Education on Post Covid 19, ICETLAWBE 2020, 26 September 2020, Bandar Lampung, Indonesia.
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Abstract
Financial distress is a condition when a company experiences financial difficulties. Financial distress is an early warning for companies not to go bankrupt. Financial distress analysis is useful for investors, government, auditors, and company management. Financial distress can be predicted using t
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 13:50 |
| Last Modified: | 17 Apr 2026 09:52 |
| URI: | http://eprints.eai.eu/id/eprint/31891 |
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