Ilman, Wildan (2023) ANALISIS TINGKAT AKURASI MODEL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN SEKTOR TRANSPORTASI DAN LOGISTIK DI BURSA EFEK INDONESIA. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Financial distress is a period of financial difficulty characterized by reduced profits and even negative profits. This research is to analyze the accuracy of the modified Altman Z-Score, Springate, Zmijewski, and Grover models in forecasting financial distress in transportation and logistics companies in Indonesia. This quantitative descriptive method research uses a population of all transportation and logistics companies listed on the Indonesia Stock Exchange for the period 2018-2022. The sample size was 23 companies which were taken using purposive sampling method. For data collection, the method is to analyze all records and data related to the research owned by the company selected as the object of research. The analysis used is to compare the calculated prediction results with the actual conditions of the sample companies in 2022. The results of this study show that the Zmijewski method is the method with the highest level of accuracy in predicting financial distress in the transportation and logistics sector followed by the Grover method, the Springate method, and the modified Altman Z-score method. Keywords: Financial Distress; prediction model; Altman Z-Score modification; Springate; Zmijewski; Grover.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | H Social Sciences > HG Finance > HG1709 Data processing H Social Sciences > HG Finance > HG4001-4285 Finance management. Business finance. Corporation finance |
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| Divisions: | Faculty of Economic > Departement of Management | ||||||||
| Depositing User: | wildan ilman | ||||||||
| Date Deposited: | 23 Oct 2023 05:41 | ||||||||
| Last Modified: | 23 Oct 2023 05:41 | ||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/18468 |
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