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All Journal Jurnal Reviu Akuntansi dan Keuangan Jurnal Akuntansi dan Pajak Indonesian Journal of Sustainability Accounting and Management Muhammadiyah International Journal of Economics and Business SENTRALISASI Owner : Riset dan Jurnal Akuntansi Jurnal Bisnis dan Akuntansi Jurnal Basataka (JBT) BALANCE: Economic, Business, Management and Accounting Journal Akuntansi : Jurnal Akuntansi Integratif Bubungan Tinggi: Jurnal Pengabdian Masyarakat Academia Open Indonesian Journal of Law and Economics Review GREENOMIKA Jurnal Ekonomi, Manajemen, Bisnis dan Akuntansi Review Indonesian Journal of Innovation Studies Procedia of Social Sciences and Humanities Indonesian Journal of Sustainability Accounting and Management
Duwi Rahayu
Universitas Muhammadiyah Sidoarjo
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Physics Social Sciences Other

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Journal : Academia Open

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Global Study Revolutionizes Bankruptcy Prediction Ervina Indah Ansari; Duwi Rahayu
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8191

Abstract

This study evaluates bankruptcy potential in food and beverage companies listed on the Indonesia Stock Exchange during 2018-2022 using four methods: Grover, Springate, Zmijewski, and Altman. Analyzing data from 31 sampled companies, the research employs descriptive quantitative methods and SPSS 26 analysis. Findings reveal varied bankruptcy predictions: Grover predicts 3 potential bankruptcies, Springate identifies 18, Zmijewski finds none, and Altman predicts 14. Notably, Zmijewski's method demonstrates superior accuracy. These results aid investors in understanding company performance and inform future financial strategies, addressing a critical need in early bankruptcy prediction for the food and beverage industry. Future research may explore additional prediction models and extend the study period to enhance predictive accuracy further. Highlight: Diverse methods: Grover, Springate, Zmijewski, Altman offer varied bankruptcy predictions. Zmijewski's accuracy: Highest accuracy among methods for bankruptcy prediction. Investor insight: Guides future financial decisions based on company performance analysis. Keywoard: Bankruptcy, Food & beverage, Stock Exchange, Analysis, Prediction.
Co-Authors Aisha Hanif Alshaf Pebrianggara Basya Syafitri Rahariyanto Bayu Hari Prasojo Dina Dwi Oktavia Rini Dina Dwi Oktavia Rini Ervina Indah Ansari Hamzah Setiawan Ibnu Athoillah Atho Imelda Dian Rahmawati Jamaludin Jamaludin Kansha Amelinda Fauzia Lina Rahma Wati Maryatin Miftakhul Jannah Nihlatul Qudus Sukma Nirwana Nur Amalina Nisfa Salisa Retnowaty Ririn Silvia Agustin Ruci Arizanda Rahayu Sarwenda Biduri Sigit Hermawan Tri Yuda Lesmana Wati, Lina Rahma