SAZKIA, RISCA JANA (2012) ANALISIS LAPORAN KEUANGAN UNTUK MEMPREDIKSI TINGKAT KEBANGKRUTAN PERUSAHAAN PROPERTI YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) ARTIKEL ILMIAH. Undergraduate thesis, STIE PERBANAS SURABAYA.
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Abstract
Financial distress is a decline in the company’s financial condition prior to the bankruptcy or liquidation. Bankruptcy analysis performed to obtain early warning of bankruptcy to predict financial performance, and predicted the financial position of each company, poor financial performance will be able to trigger bankruptcy. This type of study is a quantitative research study that is descriptive approach. Object of this study is that property companies have issued financial statements for three years. The data used in this study is secondary data obtained from the Indonesian Capital Market Directory (ICMD) and Indonesian Stock Exchange. Financial data from 2010 are processed into an independent variable, and financial data of 2008-2009 is used as a benchmark to determine the status of recovery. This study uses a sample of 36 property companies as research. This study tested the hypothesis of the model analysis using the independent variables in 2008-2010. The result of data analysis using logistic regression, t test and F test analysis states that the model generates the prediction accuracy and variable rate corporate wellness trend significant effect on the predicted probability of recovery conditions with a significance level of 5%. Key words : Financial Distress, The Company’s Bankruptcy
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.042 - FINANCIAL ACCOUNTING 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.3 - FINANCIAL REPORTS |
| Divisions: | Bachelor of Accountancy |
| Depositing User: | Perpustakaan Universitas Hayam Wuruk Perbanas |
| Date Deposited: | 19 Oct 2017 07:36 |
| Last Modified: | 02 Jul 2018 07:54 |
| URI: | http://eprints.perbanas.ac.id/id/eprint/2567 |
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