Comparison of Bankruptcy Prediction Models Analysis (Altman, Springate, Grover, Ohlson and Zmijewski) on Pt. Asuransi Harta Aman Pratama, Tbk.

Putri, Dyah Puspitasari Sunaryo

doi:10.32493/eaj.v1i2.y2018.p156-165

Cited by 3 publications

(3 citation statements)

References 4 publications

(8 reference statements)

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“…The company is facing financial distress if the company is categorized in the distress zone. Lastly, the companies that achieve a G-score between −0.02 and 0.01 will be classified in the grey zone [17].…”

Section: Methodsmentioning

confidence: 99%

Financial Distress Analysis of Technology Companies Using Grover Model

2023

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Section: Methodsmentioning

confidence: 99%

Financial Distress Analysis of Technology Companies Using Grover Model

2023

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“…Model prediksi Altman 1968 menggunakan rasio keuangan antara lain, penjualan, nilai buku keseluruhan hutang, hasil pasar saham, modal kerja, laba sebelum bunga maupun pajak, laba ditahan, dan keseluruhan asset (Priyanti, 2019). Penelitian terdahulu menunjukkan tingkat akurasi model prediksi Altman yang bervariasi antara lain 92% (Sari, 2016); 91,66% (Meiliawati & Isharijadi, 2017); 82,5% (Tan & Wibisana, 2020); 81,81% (Priyanti, 2019); 80% (Putri, 2018); 67,2% (Huda, 2017); 66,67% (Komarudin et al, 2019); 65,52% (Primasari, 2018); 60% (Rahayu et al, 2016); 58,33% (Andrianti, 2016); 58,3% (Najib & Cahyaningdyah, 2020); 45,45% (Ratri, 2020); 36,36% (Colline, 2020); 21,93% (Bilondatu et al, 2019); 20% (Azizah, 2019); Winaya et al, 2020); 8,10% (Ick & Tarigan, 2018).…”

Section: Pendahuluanunclassified

Analisis Akurasi Model-Model Prediksi Financial Distress

Arini

2021

JIM

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This study aims to find the most accurate predictor model of financial distress. The company has the potential to go bankrupt. Bankruptcy can be predicted using an accurate predictor model as an early warning to anticipate financial distress. This research was conducted on the global retail industry which is included in Kantar's 2019 Top 30 Global Retails (EUR). The data in this study were taken from 60 annual reports for the 2018-2019 period and a sample of 30 on global retail companies. The accuracy rate is calculated by the number of correct predictions divided by the total data and multiplied by one hundred percent. This study compares four predictor models of financial distress, namely the Altman model, the Springate model, the Taffler model, and the Grover model. With the results of the study, the Grover model has the highest level of accuracy, which is 76.67%.

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“…Model Zmijewski Zmijewski menggunakan rasio keuangan yang mengukur kinerja perusahaan, leverage, dan likuiditas untuk mengembangkan modelnya. Rasio tidak dipilih berdasarkan teori, melainkan berdasarkan kinerja mereka dalam studi sebelumnya (Putri, 2018). Zmijewski menggunakan teknik pengambilan sampel acak dalam studinya.…”

Section: Model Groverunclassified

Analisis Model Springate, Grover Dan Zmijewski Sebagai Alat Prediksi Kebangkrutan Pada Pt Asuransi Jiwasraya

Sari¹,

Atahau

2020

IDEIJEB

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This study aimed to determine the most influential prediction models that cause the potential bankruptcy of a company. This type of research was quantitative by comparing the predictions and reality of corporate bankruptcy by using the calculation of three bankruptcy prediction models: Springate, Grover, and Zmjewski. The results of the study using the Springate Score and Grover models showed the same results with a percentage of 100% in which companies in 2011 to 2017 were predicted not to go bankrupt with an S score of more than 0.862 and a G score of more than 0.01. This result was in line with the relita happened that the company was still operating until now. While the results of research using the Zmijewski model showed the results that predictions and reality were inversely proportional, where bankruptcy prediction results stated that the company went bankrupt with the calculated value above 0, but the reality was that the company was still operating today. Of the three most accurate bankruptcy prediction models, the Springate and Grover models, where predictions and reality were in line with research results.

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Comparison of Bankruptcy Prediction Models Analysis (Altman, Springate, Grover, Ohlson and Zmijewski) on Pt. Asuransi Harta Aman Pratama, Tbk.

Cited by 3 publications

References 4 publications

Financial Distress Analysis of Technology Companies Using Grover Model

Financial Distress Analysis of Technology Companies Using Grover Model

Analisis Akurasi Model-Model Prediksi Financial Distress

Analisis Model Springate, Grover Dan Zmijewski Sebagai Alat Prediksi Kebangkrutan Pada Pt Asuransi Jiwasraya

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