Search for collections on Perbanas Institutional Repository

PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN PERBANKAN DEVISA DENGAN MENGGUNAKAN ANALISIS RISK, GOOD CORPORATE GOVERNANCE, EARNING DAN CAPITAL

HARAHAP, ALI MACHSUM (2014) PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN PERBANKAN DEVISA DENGAN MENGGUNAKAN ANALISIS RISK, GOOD CORPORATE GOVERNANCE, EARNING DAN CAPITAL. Undergraduate thesis, STIE PERBANAS SURABAYA.

[img]
Preview
Text
ARTIKEL ILMIAH.pdf

Download (404kB) | Preview
[img]
Preview
Text
COVER.pdf

Download (823kB) | Preview
[img]
Preview
Text
BAB I.pdf

Download (243kB) | Preview
[img]
Preview
Text
BAB II.pdf

Download (576kB) | Preview
[img] Text
BAB III.pdf
Restricted to Registered users only

Download (136kB)
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (348kB)
[img]
Preview
Text
BAB V.pdf

Download (132kB) | Preview
[img] Text
LAMPIRAN.pdf
Restricted to Registered users only

Download (1MB)

Abstract

Bank's main role is to channel funds from the surplus funds to those who lack the hope to benefit from this activity, but this activity will be problematic for the lack of funds when the bank is unable to repay the funds that have been borrowed. This study aimed to test whether the ratio of non-performing loans (NPL), Loan to Deposit Ratio (LDR), Good Corporate Governance (GCG), Return on Assets (ROA), net interest margin (NIM) and the Capital Adequacy Ratio (CAR) can be used to predict financial distress of the Foreign Exchange Bank for 2009-2012. The initial sample in this study were 35 foreign exchange banks, after the selection of only the remaining 16 foreign exchange banks. The sampling technique used was purposive sampling and data used in this study is a secondary data by looking at the financial statements and the related statements of GCG Bank. Test equipment used to test the hypothesis is to use logistic regression. These results indicate that the NPL ratio, LDR, GCG, ROA, NIM, CAR which can be used to predict financial distress on foreign exchange banks are ROA and NIM with a significance value below 0.05 (5%) while the NPL ratio, LDR , GCG and CAR can not be used to predict financial distress due to foreign exchange banks significance value above 0.05 (5%). Keywords : Bank foreign exchange, bank financial ratios, financial distress, logistic regression

Item Type: Thesis (Undergraduate)
Subjects: 600 - TECHNOLOGY > 658 - GENERAL MANAGEMENT > 658.151 1 - MANAGEMENT ACCOUNTING
Divisions: Bachelor of Accountancy
Depositing User: Perpustakaan Universitas Hayam Wuruk Perbanas Surabaya
Date Deposited: 11 Jul 2017 02:55
Last Modified: 12 Feb 2018 05:45
URI: http://eprints.perbanas.ac.id/id/eprint/1942

Actions (login required)

View Item View Item