Lucy, Yunita Silvia (2017) Analisis Pengaruh Rasio Altman Dalam Memprediksi\Kondisi Financial Distress Perusahaan Sektor Telekomunikasi Yang Terdaftar di Bei. Undergraduate thesis, STIE Perbanas Surabaya.
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Abstract
The Investment in the telecommunications sector increased 17% by 2015.This enhancement is not directly proportional to the sustainability of the bussiness. This Condition is very worrying. The Users of financial statements require a method to predicting the company's financial distress. One of the methods used is the application of Altman Z-score model for analyzing the company's financial statements. The whole model can’t be used, because the condition of World's economic is different now. There Are so many previous studies using this model, that’s why researcher is interested to further analyze the influence of financial ratios in Altman’s model (WC/TA, RE/TA, EBIT/TA, and MVE/BVL) to the company's financial distress predictions. The samples of this research are 6 companies that meet the criterias from 8 companies in the Telecommunication Sector which are listed on Indonesia Stock Exchange. This research period is from 2012 to 2016. The data used in this research are annual report of the selected samples. Data analized using Logistic regression analysis. The results of this study indicate only Market Value of Equity to Book Value of liabilities ratio that influence the Company's financial distress predictions of Telecommunication Companies which are listed on Indonesia Stock Exchange from 2012 to 2016. Keywords : Financial Distress, Altman Model, Logistic Regression, Working Capital to Total Assets, Retained Earning yo Total Assets, Earning Before Interests and Taxes to Total Assets, Market Value of Equity to Book Value of Liabilities.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.042 - FINANCIAL ACCOUNTING |
| Divisions: | Bachelor of Accountancy |
| Depositing User: | Magang Magang |
| Date Deposited: | 15 Jan 2020 06:18 |
| Last Modified: | 15 Jan 2020 06:18 |
| URI: | http://eprints.perbanas.ac.id/id/eprint/6186 |
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