Meyliana, Henny and Siahaan, Antonius TP. and Sitepu, Badikenita (2016) Predicting Financial Distress Through Financial Performance Analysis: A Case Study of PT Alam Sutera Realty, TBK. Masters thesis, Swiss German University.

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Abstract

Business nowadays is in volatile market, different industry has different pattern in financial, policy and strategic. Every company has to measure it performance to ensure business sustainability, one of the tools for measurement is benchmarking with other company within the same industry and considerably at same size. This research will predicting financial distress by Altman Z-score and financial performance analysis. The secondary data was used in period January 2010 – September 2015. The result shows that liquidity ratio, market value ratio and Z-score of ASRI is lower than average, while capital structure ratio, asset management ratio, and profitability ratio of ASRI is higher than average Total asset turnover drives the most significant impact to the Z-score of ASRI, followed by profit margin ratio, current ratio, and price earnings ratio. For Z-score average, profit margin ratio drives the most significant impact, followed by current ratio, and total asset turnover, while debt ratio shows not significant impact to both Z- score of ASRI and Z-score average.

Item Type:	Thesis (Masters)
Additional Information:	Financial Performance Analysis; Financial Ratios; Financial Distress; Altman Z-score
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD1361 Real estate business H Social Sciences > HF Commerce > HF5001 Business H Social Sciences > HG Finance > HG4001-4285 Finance management. Business finance.
Divisions:	Faculty of Business Administration and Communication > Department of Business Administration
Depositing User:	Atroridho Rizky
Date Deposited:	07 Jul 2020 12:42
Last Modified:	07 Jul 2020 12:42
URI:	http://repository.sgu.ac.id/id/eprint/1067

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