ANALYSIS OF SPRINGATE, GROVER AND ZMIJEWSKI MODELS AS BANKRUPTCY PREDICTION TOOLS AT PT ASURANSI SINAR MAS BATAM
DOI:
https://doi.org/10.556442/eabmij.v3i02.92Keywords:
Springate, Grover, and Zmijewski, predictive modelAbstract
This report aims to determine the most influential predictive model that leads to the potential for bankruptcy of a company. This research is quantitative by comparing the predictions and reality of corporate bankruptcy using three bankruptcy prediction models: Springate, Grover, and Zmijewski. The results of the study using the Springate Score and Grover models show similar results with a percentage of 100% where the company in 2015 to 2020 is predicted not to go bankrupt with an S score of more than 0.973 and a G score of more than 0.01. This result is in line with the fact that the company is still operating. Although the results of research using the Zmijewski model show that the forecast and reality are inversely proportional, where the results of the bankruptcy forecast state that the company is bankrupt with a calculation value above 0, in fact the company is still operating. The most accurate bankruptcy predictions include the Springate and Grover models, where the predictions and reality are in accordance with the research results.
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