Determinasi Financial Distress pada Perusahaan Consumer Non-Cyclicals Periode Pandemi Covid-19 dan Konflik Geopolitik Rusia-Ukraina
DOI:
https://doi.org/10.55098/jba.v2.i1.p95-113Keywords:
Financial Distress, Geopolitical Conflict, Covid-19 Pandemic, Consumer Non-CyclicalsAbstract
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%.
References
Allen, D. E., Tang, L., & Ton, T. B. (2021). Financial Distress Signals and the Likelihood of Bankruptcy among UK Firms. Journal of Business Research, 133, 196–206. https://www.journals.elsevier.com/journal-of-business-research
Altman, E. I. (2017). Financial Distress Prediction and Bankruptcy Research: Past Accomplishments and Future Challenges. Journal of Applied Corporate Finance, 29(1), 10–35. https://onlinelibrary.wiley.com/journal/17456622
Ananto, R. P., Sriyunianti, F., & Ferdawati. (2020). Prediksi Financial Distress Menggunakan Model Fulmer (Studi Pada PT. Semen Padang). Jurnal Ekonomi Dan Bisnis Dharma Andalas, 22(1), 110–119. https://jurnal.unidha.ac.id/index.php/JEBD/article/view/65/63
Arini, I. N. (2021). Analisis Akurasi Model-Model Prediksi Financial Distress. Jurnal Ilmu Manajemen, 9(3), 1196–1204. https://doi.org/10.26740/jim.v9n3.p1196-1204
Ayuni, S., Larasaty, P., Anam, C., Riyadi, Hastuti, A., Kurniasih, A., Saputri, V. G., Pratiwi, A. I., & Meilaningsih, T. (2020). Laporan Perekonomian Global. Bank Indonesia, 1–33. www.bi.go.id
Bank Indonesia. (2020). Laporan perekonomian indonesia 2020. www.bi.go.id
Carvalho, F., & Duarte, A. (2018). Financial Distress and Bankruptcy Prediction: The Case of Non-Cyclical Consumer Goods Companies. Journal of Business Research, 91, 192–203. https://www.journals.elsevier.com/journal-of-business-research
Chakraborty, I., & Ray, S. (2016). The Determinants of Financial Distress in Indian Corporate Sector: A Logistic Regression Analysis. Journal of Applied Accounting Research, 17(3), 288–305. https://www.emerald.com/insight/publication/issn/0967-5426
Devi, S., Warasniasih, N. M. S., & Masdiantini, P. R. (2020). The Impact of COVID-19 Pandemic on the Financial Performance of Firms on the Indonesia Stock Exchange. Journal of Economics, Business, & Accountancy Ventura, 23(2), 226–242. https://doi.org/10.14414/jebav.v23i2.2313
Dhar, U. (2021). Asian Development Bank (ADB), Asian Development Outlook 2020: What Drives Innovation in Asia? Journal of Asian Economic Integration, 3(1), 98–100. https://doi.org/10.1177/2631684620982127
Gande, A., John, K., & Senbet, L. (2018). Bankruptcy Prediction in Consumer Retail Firms. Journal of Financial and Quantitative Analysis, 53(4), 1431–1462. https://www.cambridge.org/core/journals/journal-of-financial-and-quantitative-analysis
Gunawan, D., & Warninda, T. D. (2022). Prediksi Financial Distress Menggunakan Model Taffler dan Grover pada Perusahaan yang Terdampak Pandemi Covid-19. Jurnal Bisnis, Manajemen, Dan Teknososiopreneur, 1(1), 01–15. https://doi.org/10.31326/bimtek.v1i1.1109
Hertina, D., & Dari, F. W. (2022). Comparative Analysis of Financial Distress Models in Predicting Bankruptcy During Covid-19 Pandemic. Wiga : Jurnal Penelitian Ilmu Ekonomi, 12(4), 272–282. https://doi.org/10.30741/wiga.v12i4.900
Hugot, J. (2022). Russia’S Invasion of Ukraine: Implications for Developing Asia. Special Topic of the Asian Development Outlook 2022, April, 3–12. https://doi.org/10.56506/SFOY2620
Lam, T., & Du, K. (2020). Financial Distress Prediction for Non-Cyclical Consumer Products Firms in the US: A Comparison of Machine Learning Algorithms. International Journal of Finance and Economics, 25(3), 309–322. https://onlinelibrary.wiley.com/journal/10991158
Lee, S., Kim, H. J., & Lee, B. S. (2018). Corporate Distress Prediction Using Machine Learning: a Review and Future Directions. Expert Systems with Applications, 91, 245–255. https://www.sciencedirect.com/journal/expert-systems-with-applications
Masdiantini, P. R., & Warasniasih, N. M. S. (2020). Laporan Keuangan dan Prediksi Kebangkrutan Perusahaan. 5(1), 196–220. https://doi.org/10.23887/jia.v5i1.25119
Nugroho, R. S. (2022). Perang Rusia-Ukraina Bikin Harga Minyak Naik, ini Dampaknya bagi Harga BBM di Indonesia. Kompas. https://www.kompas.com/tren/read/2022/03/03/122900665/perang-rusia-ukraina-bikin-harga-minyak-naik-ini-dampaknya-bagi-harga-bbm?page=all
Prakoso, W. H., Ulupui, I. G. K. A., & Perdana, P. N. (2022). Analisis Perbandingan Model Taffler, Springate dan Grover dalam Memprediksi Kebangrutan Perusahaan. Jurnal Akuntansi, Perpajakan Dan Auditing, 3(1 April 2022), 1–15. http://pub.unj.ac.id/index.php/japa/article/view/532
Primasari, N. S. (2018). Analisis Altman Z-Score, Grover Score, Springate dan Zmijewski Sebagai Signaling Financial Distress (Studi Empiris Industri Barang-Barang Konsumsi di Indonesia). Accounting and Management Journal, 1(1), 23–43. https://doi.org/10.33086/amj.v1i1.70
Putri, N. K. A. R., & Werastuti, D. N. S. (2020). Analisis Model Fulmer dan Grover Dalam Memprediksi Financial Distress pada Industri Barang Konsumsi. Jurnal Ilmiah Mahasiswa Akuntansi) Universitas Pendidikan Ganesha, 11(3), 2614–1930. https://doi.org/10.23887/jimat.v12i1.28004
Sandi, F. (2022). Harga Mi Instan Beneran Terus Naik, Nih Buktinya. CNBC Indonesia. https://www.cnbcindonesia.com/news/20220808140609-4-361959/harga-mi-instan-beneran-terus-naik-nih-buktinya
Setiawan, E. (2021). Arti Kata Pandemi - Kamus Besar Bahasa Indonesia (KBBI). KBBI. https://kbbi.web.id/pandemi
Song, Y., & Du, J. (2019). a Study on Financial Distress of Non-Cyclical Consumer Goods Industry in China. Journal of Physics: Conference Series, 1293(3). https://iopscience.iop.org/issue/1742-6596/1293/1
Vavrek, R., Kravˇ, I., & Kotulic, R. (2021). Evaluating the Financial Health of Agricultural Enterprises in the Conditions of the Slovak Republic Using Bankruptcy Models. Agriculture, 11, 242. https://doi.org/10.3390/%0Aagriculture11030242
Wahyuni, S. F., & Rubiyah. (2021). Analisis Financial Distress Menggunakan Metode Altman Z-Score, Springate, Zmijeski dan Grover pada Perusahaan Sektor Perkebunan yang Terdaftar di Bursa Efek Indonesia. MANIEGGIO: Jurnal Ilmiah Magister Manajemen, 4(1), 62–72. https://jurnal.umsu.ac.id/index.php/MANEGGIO/article/view/6714
Widiasmara, A., & Rahayu, H. C. (2019). Perbedaan Model Ohlson, Model Taffler dan Model Springate Dalam Memprediksi Financial Distress. Inventory: Jurnal Akuntansi, 3(2), 141. https://doi.org/10.25273/inventory.v3i2.5242
Wulandari, E. Y., & Maslichah. (2021). Penggunaan Model Springate, Ohlson, Altman Z-Score dan Grover Score untuk Memprediksi Financial Distress pada Masa Pandemi COVID-19 (Studi pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia). E-Jra, 10(05), 90–103. http://riset.unisma.ac.id/index.php/jra/article/view/10620

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