{"title":"用altman z-score方法分析运输公司的财务困境","authors":"A. Irawan, Adi Prasetyo, Dwi Irawan","doi":"10.30595/raar.v1i2.11861","DOIUrl":null,"url":null,"abstract":"This study aims to analyze the potential for bankruptcy of companies in the public transportation sub-sector listed on the Indonesia Stock Exchange using the Altman Z-score model approach. The population of this study are transportation companies listed on the Indonesia Stock Exchange for the 2017-2019 period, the sample is only taken from the 3 largest transportation companies operating on land, sea and air. The results of calculations using the Altman Zscore method show that there is one company that is prone to bankruptcy. A business that is expected to go bankrupt in the year under review does not mean it will go bankrupt, it is just a warning to the business about the state of the business so that it can anticipate the most likely losses.","PeriodicalId":240439,"journal":{"name":"Review of Applied Accounting Research (RAAR)","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"ANALYSIS OF FINANCIAL DISTRESS IN TRANSPORTATION COMPANIES WITH THE ALTMAN Z-SCORE APPROACH\",\"authors\":\"A. Irawan, Adi Prasetyo, Dwi Irawan\",\"doi\":\"10.30595/raar.v1i2.11861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to analyze the potential for bankruptcy of companies in the public transportation sub-sector listed on the Indonesia Stock Exchange using the Altman Z-score model approach. The population of this study are transportation companies listed on the Indonesia Stock Exchange for the 2017-2019 period, the sample is only taken from the 3 largest transportation companies operating on land, sea and air. The results of calculations using the Altman Zscore method show that there is one company that is prone to bankruptcy. A business that is expected to go bankrupt in the year under review does not mean it will go bankrupt, it is just a warning to the business about the state of the business so that it can anticipate the most likely losses.\",\"PeriodicalId\":240439,\"journal\":{\"name\":\"Review of Applied Accounting Research (RAAR)\",\"volume\":\"31 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Applied Accounting Research (RAAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30595/raar.v1i2.11861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Applied Accounting Research (RAAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30595/raar.v1i2.11861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANALYSIS OF FINANCIAL DISTRESS IN TRANSPORTATION COMPANIES WITH THE ALTMAN Z-SCORE APPROACH
This study aims to analyze the potential for bankruptcy of companies in the public transportation sub-sector listed on the Indonesia Stock Exchange using the Altman Z-score model approach. The population of this study are transportation companies listed on the Indonesia Stock Exchange for the 2017-2019 period, the sample is only taken from the 3 largest transportation companies operating on land, sea and air. The results of calculations using the Altman Zscore method show that there is one company that is prone to bankruptcy. A business that is expected to go bankrupt in the year under review does not mean it will go bankrupt, it is just a warning to the business about the state of the business so that it can anticipate the most likely losses.