Research Article
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
@INPROCEEDINGS{10.4108/eai.26-9-2020.2302717, author={Megalasmi Bellyra Helastica and Santi Paramita}, title={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}, proceedings={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}, publisher={EAI}, proceedings_a={ICETLAWBE}, year={2020}, month={12}, keywords={financial distress bankruptcy altman z-score zmijewski and grover}, doi={10.4108/eai.26-9-2020.2302717} }- Megalasmi Bellyra Helastica
Santi Paramita
Year: 2020
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
ICETLAWBE
EAI
DOI: 10.4108/eai.26-9-2020.2302717
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 the Altman Z-Score, Zmijewski, and Grover models. The research sample was 8 retail sub-sector companies listed on the Indonesia Stock Exchange for the period 2014-2018. The main objective of this research is to predict the financial distress of companies in the retail sub-sector and to analyze the level of prediction accuracy from the financial distress prediction model.
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