Search for collections on Perbanas Institutional Repository

Determination of Bankometer and RGEC Models to Predict Financial Distress on Sharia Banks in Indonesia

Africa, Laely Aghe (2019) Determination of Bankometer and RGEC Models to Predict Financial Distress on Sharia Banks in Indonesia. In: ICBLP 2019, 13-15 Februari 2019, JAWA TIMUR, INDONESIA.

[img]
Preview
Text
7.PEER REVIEW_ICBLP_2019_LAELY.pdf

Download (1MB) | Preview
[img]
Preview
Text
7.TURNITIN_ICBLP_2019_LAELY.pdf

Download (1MB) | Preview

Abstract

Banking is a collection of several functions of the Bank, which is a financial institution that has financial assets as its wealth and has profit motives and social. Banking institutions also do not rule out the possibility of experiencing financial distress; financial distress is declining phases that happen before liquidation. This research aimed to analyze the Bankometer, and RGEC Model can be used to predict financial distress on Sharia Banks in Indonesia. This research is a quantitative study using 110 financial report data and using logistic regression for analyzing the data. The results show that the Bankometer Model can be used to predict financial distress and RGEC model can be used are the variable NPL, GCG, ROA, and CAR. This research implies that it can be used by Sharia banking determining policies for an early warning before the bankruptcy of a company to avoid liquidation.

Item Type: Conference or Workshop Item (Paper)
Subjects: 600 - TECHNOLOGY > 657 - ACCOUNTING > 657.9 - ACCOUNTING-BANK
Divisions: Lecturer
Depositing User: LAELY AGHE AFRICA
Date Deposited: 08 Jul 2020 06:56
Last Modified: 23 Aug 2021 07:10
URI: http://eprints.perbanas.ac.id/id/eprint/6840

Actions (login required)

View Item View Item