THE FINANCIAL DISTRESS STRATEGY TO PREDICT THE BANKRUPTCY OF SOEs MANUFACTURING CLUSTERS DURING THE COVID-19 PANDEMIC FOR THE FISCAL YEAR 2020-2021

Authors

  • Nyaman Nyaman Faculty of Economics and Business, Universitas 17 Agustus 1945 Surabaya, Indonesia
  • Nur Samsi Faculty of Economics and Business, Universitas 17 Agustus 1945 Surabaya, Indonesia

Keywords:

financial distress, bankruptcy prediction, Growth Opportunities, Financial Performance

Abstract

This study aims to test the accounting-based bankruptcy prediction model with real data on Growth Opportunities and Financial Performance. The research focused on one of the state-owned enterprises, namely PT. Barata Indonesia, which is currently experiencing poor performance in meeting its loan obligations due to the impact of the COVID-19 pandemic. Bankruptcy prediction is done using Springate (S-score), Zmijewski (X-score) and Grover (G-score) methods. The results showed that the Springate and Grover method showed that PT. Barata Indonesia is experiencing financial distress, while the Zmijewski method shows the opposite.

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Published

2022-08-15

How to Cite

Nyaman, N., & Samsi, N. . (2022). THE FINANCIAL DISTRESS STRATEGY TO PREDICT THE BANKRUPTCY OF SOEs MANUFACTURING CLUSTERS DURING THE COVID-19 PANDEMIC FOR THE FISCAL YEAR 2020-2021. International Conference On Economics Business Management And Accounting (ICOEMA), 1, 977-991. Retrieved from https://conference.untag-sby.ac.id/index.php/icoema/article/view/2229

Issue

Vol. 1 (2022): ICOEMA 2022

Section

Articles