Comparing The Financial Distress Prediction By Using Altman Zsscore, Springate S-Score And Zmijewski X-Score Models In Tobacco Companies Listed In Indonesia Stock Exchange 2017-2021
| dc.Identifier.NIM | 15311288 | |
| dc.contributor.advisor | Abdul Moin, SE., MBA., Ph.D., CQRM | |
| dc.contributor.advisor | Alfi Zakiya, S.Kom., S.Pd. | |
| dc.contributor.author | HASNA KURNIA ULFAH | |
| dc.date.accessioned | 2022-09-05T08:32:00Z | |
| dc.date.available | 2022-09-05T08:32:00Z | |
| dc.date.issued | 2022-06-05 | |
| dc.description.abstract | This research takes the topic of the Comparison of Financial Distress Predictions Using Altman Z-Score, Springate S-Score and Zmijewski X-Score Models in Tobacco Companies Listed in Indonesia Stock Exchange. In this case, a test was conducted to compare the accuracy of the Altman Z-Score, Springate SScore and Zmijewski X-Score models in predicting the financial distress of tobacco companies. The sample used saturated sample consisting of 5 companies with 25 observations in each model. To get the right level of accuracy, the comparison of the categories of distress or non-stress scores of each financial distress model with the comparison of ROE and BI rate in the respective year of each company was carried out using a dummy variable. Through this research, it is known that the Springate S-Score models were the models with the most accurate results in predicting financial distress in Tobacco companies listed in the Indonesia Stock Exchange (IDX) by 80%. | en_US |
| dc.identifier.uri | https://repository.uii.ac.id/handle/123456789/39050 | |
| dc.publisher | Universitas Islam Indonesia | en_US |
| dc.subject | Altman Z-Score | en_US |
| dc.subject | Springate S-Score | en_US |
| dc.subject | Zmijewski X-Score | en_US |
| dc.subject | Tobacco Companies | en_US |
| dc.subject | Financial Distress Prediction | en_US |
| dc.title | Comparing The Financial Distress Prediction By Using Altman Zsscore, Springate S-Score And Zmijewski X-Score Models In Tobacco Companies Listed In Indonesia Stock Exchange 2017-2021 | en_US |