ANALISIS PENGGUNAAN METODE ALTMAN Z-SCORE DALAM MEMPREDIKSI POTENSI KEBANGKRUTAN PADA PERUSAHAAN SEKTOR PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BEI

BERLIANI, BELLA PUTRI and Malinda, Shelfi (2023) ANALISIS PENGGUNAAN METODE ALTMAN Z-SCORE DALAM MEMPREDIKSI POTENSI KEBANGKRUTAN PADA PERUSAHAAN SEKTOR PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BEI. Undergraduate thesis, Sriwijaya University.

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Abstract

This research aims to predict the potential of bankruptcy in property and real estate sector companies listed on the Indonesia Stock Exchange using the Altman Z-Score Method. Bankruptcy is a critical issue that can affect the stability of the property and real estate sector, which is one of the important sectors in the economy. The Altman Z-Score method is a bankruptcy prediction tool that has proven effective in various industrial contexts. Apart from that, this research also involves control variables such as leverage and firm size to enrich the analysis. The data used in this research comes from the annual financial reports of property and real estate sector companies listed on the IDX. The research method used is descriptive statistics and inferential statistics using panel data regression analysis. The research results show that around 75% of companies are in a distressed condition, 25% are in the gray area, and only 5% are in a safe condition. Apart from that, it was also found that the variables WCTA, RETA, EBITTA, MVTE, and SATA had a significant positive effect on Financial Distress, while two control variables such as Leverage and Firm Size had no effect on Financial Distress. These findings provide important insight into the level of bankruptcy risk in the property and real estate sector on the IDX and can be a basis for stakeholders to take appropriate steps

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Altman Z-score, Financial Distress, Potensi Kebangkrutan
Subjects:	H Social Sciences > HG Finance > HG1-9999 Finance
Divisions:	01-Faculty of Economics > 61201-Management (S1)
Depositing User:	Bella Putri Berliani
Date Deposited:	29 Jan 2024 06:18
Last Modified:	29 Jan 2024 06:18
URI:	http://repository.unsri.ac.id/id/eprint/140249

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