PREDIKSI KONDISI FINANCIAL DISTRESS PERUSAHAAN PUBLIK DENGAN MENGGUNAKAN ANALISIS MULTINOMIAL LOGIT (Studi Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia)

NANDA, BISMA HARI (2010) PREDIKSI KONDISI FINANCIAL DISTRESS PERUSAHAAN PUBLIK DENGAN MENGGUNAKAN ANALISIS MULTINOMIAL LOGIT (Studi Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia). Other thesis, University of Muhammadiyah Malang.

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Abstract

This study aims to find empirical evidence of differences in financial ratio variables between firms experiencing financial distress and did not experience financial distress, and provide empirical evidence of the ratio (balance sheet and income statement) (statement of cash flows) or (balance sheets, statements profit and loss and cash flow statement) that has the highest classification power to predict financial distress. This study also provides empirical evidence of the relationship between pengguanaan multinomial logit analysis in predicting financial distress in companies listed in Indonesia Stock Exchange (BEI). The sample in this study consisted of 37 companies that did not experience financial distress, 11 companies experiencing financial distress the second group, and 6 companies experiencing financial distress third group. The analytical tool used to test the hypothesis is Multinomial logit regression. This research is divided into three models to test the classificat ion power of ratios derived from financial statements to predict financial distress tersaftar manufacturing companies in Indonesia Stock Exchange (BEI). The results of this research is financial ratios derived from financial statements derived from the balance sheet, income statement, and statement of cash flows (the ratio of S / CA, EQ / TA, CASH / TA, CFFO / CL, and CFFO / I) is a variable significant in predicting corporate financial distress. The study also found evidence that the financial ratios derived from the balance sheet, income statement and cash flow statements have classification power of 89.1% and have a higher predictive power when used to predict financial distress. The study also found a group of companies manufacturing Textile Mill Products group is one of the companies that have the vulnerability experienced financial distress. Meanwhile, Food & Bavarages group companies, consumer good is a group company that is stable and less likely to experience financial distress. Keyword: financial distress, financial ratio, multinomial logit.

Item Type: Thesis (Other)
Subjects: H Social Sciences > HB Economic Theory
Divisions: Faculty of Economic > Department of Accounting
Depositing User: Rayi Tegar Pamungkas
Date Deposited: 14 May 2012 04:18
Last Modified: 14 May 2012 04:18
URI: http://eprints.umm.ac.id/id/eprint/5155

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