Research Article
Financial Distress Prediction: Case Study Plantation Companies Listed on Indonesia Stock Exchange
@INPROCEEDINGS{10.4108/eai.28-9-2020.2307365, author={Uki Rivendra and Sudjono Sudjono and Ahmad Badawi Saluy}, title={Financial Distress Prediction: Case Study Plantation Companies Listed on Indonesia Stock Exchange}, proceedings={Proceedings of the 1st MICOSS Mercu Buana International Conference on Social Sciences, MICOSS 2020, September 28-29, 2020, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={MICOSS}, year={2021}, month={5}, keywords={financial distress plantation companies modified altman zavgren}, doi={10.4108/eai.28-9-2020.2307365} }- Uki Rivendra
Sudjono Sudjono
Ahmad Badawi Saluy
Year: 2021
Financial Distress Prediction: Case Study Plantation Companies Listed on Indonesia Stock Exchange
MICOSS
EAI
DOI: 10.4108/eai.28-9-2020.2307365
Abstract
The decline in the level of export, the decline in the price of crude palm oil and the decline in the Indonesian economy are predicted to cause financial distress in the plantation sub-sector companies in Indonesia. This study aims to test empirically the financial distress condition of oil palm sub-sector companies using the Altman Modification and Zavgren prediction models. The Companies that become population in this study were Plantation sub-sector Companies listed on Indonesia Stock Exchange in the period 2013-2017. Research result shows that Modified Altman and Zavgren Model can be used to predict the Financial Distress of Plantation sub-sector Companies in the 2013-2017 period, and there are differences between two prediction models, where Modified Altman are more accurate than Zavgren model.