ANALISIS UNTUK MEMPREDIKSI FINANCIAL DISTRESS BERDASARKAN RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNINGS, AND CAPITAL (RGEC) DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK (LOGIT)

PUSPITANINGRUM, CYNTHIA LOURA (2016) ANALISIS UNTUK MEMPREDIKSI FINANCIAL DISTRESS BERDASARKAN RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNINGS, AND CAPITAL (RGEC) DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK (LOGIT). Undergraduate thesis, STIE PERBANAS SURABAYA.

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Abstract

Bank is a financial intermediary institutions (financial intermediaries) that channel funds from the excess funds (surplus units) to those who need funds (deficit units) at the specified time.The purpose of this research is to Analyze the influence of variables Capital Adequacy Ratio (CAR), Return On Aset (ROA), Return On Equity (ROE), Non Performing Loan (NPL), Net Interest Margin (NIM), Biaya Operasional terhadap Pendapatan Operasional (BOPO), Loan To Deposit Rasio (LDR), Good Corporate Governance (GCG) to financial distress. The sample of this research consist of 27 foreign exchange bank, it is chosen by purposive sampling. The statistic methods which is used to test on the research hypothesis is logit regression. Result of this research shows that CAR and LDR variable is significantly affect for financial distress. ROA, ROE, NPL, NIM, BOPO, and GCG variable are not significant affect for financial distress. The accuracy of prediction foreign exchange bank financial distress in 2012 until 2014 reaches to 90,7%. Key words : Financial Distress, Financial Ratios, Logistic Regression

Item Type: Thesis (Undergraduate)
Subjects: 600 - TECHNOLOGY > 657 - ACCOUNTING > 657.9 - ACCOUNTING-BANK
Divisions: Bachelor of Accountancy
Depositing User: Perpustakaan STIE Perbanas Surabaya
Date Deposited: 05 Jan 2018 02:26
Last Modified: 05 Jan 2018 02:26
URI: http://eprints.perbanas.ac.id/id/eprint/3009

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