{"title":"印度尼西亚危机时期(2017-2022 年)破产预测模型的评估与再估计","authors":"Mentari M. Lubis, Imo Gandakusuma","doi":"10.36418/syntax-literate.v9i3.14760","DOIUrl":null,"url":null,"abstract":"This research was conducted to see how suitable the existing bankruptcy prediction models that have been used in other countries to be used during the crisis in Indonesia. The data used in research are companies in Indonesia registered in the Indonesia Stock Exchange (IDX). The re-estimate of the coefficient of variables models is carried out and then the bankruptcy prediction of the re-estimation model is re-calculated. The results of the bankruptcy prediction of the re-estimate model are then compared with the results of the bankruptcy prediction of the original model to see whether the model can be used during the crisis in Indonesia. The results of the study is that Springate original model is the most suitable model for the conditions in Indonesia during the crisis caused by the COVID-19 pandemic. The Springate model has the highest financial distress prediction accuracy, while the Altman Emerging Market model produces the highest Error Type I.","PeriodicalId":510711,"journal":{"name":"Syntax Literate ; Jurnal Ilmiah Indonesia","volume":"13 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation and Re-Estimation of Bankruptcy Prediction Models in Facing The Crisis Period in Indonesia (2017-2022)\",\"authors\":\"Mentari M. Lubis, Imo Gandakusuma\",\"doi\":\"10.36418/syntax-literate.v9i3.14760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research was conducted to see how suitable the existing bankruptcy prediction models that have been used in other countries to be used during the crisis in Indonesia. The data used in research are companies in Indonesia registered in the Indonesia Stock Exchange (IDX). The re-estimate of the coefficient of variables models is carried out and then the bankruptcy prediction of the re-estimation model is re-calculated. The results of the bankruptcy prediction of the re-estimate model are then compared with the results of the bankruptcy prediction of the original model to see whether the model can be used during the crisis in Indonesia. The results of the study is that Springate original model is the most suitable model for the conditions in Indonesia during the crisis caused by the COVID-19 pandemic. The Springate model has the highest financial distress prediction accuracy, while the Altman Emerging Market model produces the highest Error Type I.\",\"PeriodicalId\":510711,\"journal\":{\"name\":\"Syntax Literate ; Jurnal Ilmiah Indonesia\",\"volume\":\"13 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Syntax Literate ; Jurnal Ilmiah Indonesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36418/syntax-literate.v9i3.14760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Syntax Literate ; Jurnal Ilmiah Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36418/syntax-literate.v9i3.14760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在了解在其他国家使用的现有破产预测模型在印尼危机期间的适用性。研究使用的数据是在印尼证券交易所(IDX)注册的印尼公司。对变量模型的系数进行重新估计,然后重新计算重新估计模型的破产预测结果。然后将重新估计模型的破产预测结果与原始模型的破产预测结果进行比较,以确定该模型是否可在印尼危机期间使用。研究结果表明,Springate 原始模型是最适合印尼 COVID-19 大流行病危机期间情况的模型。Springate 模型的财务困境预测准确率最高,而 Altman 新兴市场模型的 I 型误差最高。
Evaluation and Re-Estimation of Bankruptcy Prediction Models in Facing The Crisis Period in Indonesia (2017-2022)
This research was conducted to see how suitable the existing bankruptcy prediction models that have been used in other countries to be used during the crisis in Indonesia. The data used in research are companies in Indonesia registered in the Indonesia Stock Exchange (IDX). The re-estimate of the coefficient of variables models is carried out and then the bankruptcy prediction of the re-estimation model is re-calculated. The results of the bankruptcy prediction of the re-estimate model are then compared with the results of the bankruptcy prediction of the original model to see whether the model can be used during the crisis in Indonesia. The results of the study is that Springate original model is the most suitable model for the conditions in Indonesia during the crisis caused by the COVID-19 pandemic. The Springate model has the highest financial distress prediction accuracy, while the Altman Emerging Market model produces the highest Error Type I.