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Wicaksono, Tasya Dwi
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Economics, Econometrics & Finance

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Determinasi Financial Distress pada Perusahaan Consumer Non-Cyclicals Periode Pandemi Covid-19 dan Konflik Geopolitik Rusia-Ukraina Wicaksono, Tasya Dwi; Buchdadi, Agung Dharmawan; Mahfirah, Titis Fatarina
Journal of Business Application Vol. 2 No. 1 (2023): Journal of Business Application
Publisher : Program Studi Administrasi Niaga STIA Said Perintah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55098/jba.v2.i1.p95-113

Abstract

The study aims to conduct a predictive test and analysis on the financial distress of companies in the consumer non-cyclicals sector during the COVID-19 pandemic and the Russia-Ukraine geopolitical conflict. This study utilizes three predictive models: the Taffler model, the Fulmer model, and the Grover model. The population of this study consists of consumer non-cyclicals companies listed on the Indonesia Stock Exchange from 2020 to 2022. The research sample consists of 62 companies selected using purposive sampling technique. The Kruskal-Wallis test method is employed and analyzed using SPSS 22. The result of this study indicate a significant difference among the three models in predicting financial distress in companies. Based on the accuracy test conducted, the Fulmer model achieved the highest accuracy rate of 87% with a type I error rate of 3% and type II error rate of 10%. Futhermore, the Grover model obtained an accuracy rate of 83% with a type I error of 16% and a type II error rate of 1%. The Taffler model achieved the lowest accuracy score compared to the three models used, at 77% with a type I error rate of 10% and a type II rate 13%.
Co-Authors Agung Dharmawan Buchdadi Mahfirah, Titis Fatarina