Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia

This study aims to analyze financial ratios in predicting financial distress in banking companies listed on the IDX using the CAR, NPL, BOPO, ROA, ROE, and LDR ratios. The sampling technique is purposive sampling with the criteria of companies that have the potential to experience financial distress...

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Main Authors: Anindya Aulia Nisa, Elok Sri Utami, Ana Mufidah
Format: Article
Language:English
Published: Universitas Jember 2021-04-01
Series:Jurnal Ekonomi Akuntansi dan Manajemen
Online Access:https://jurnal.unej.ac.id/index.php/JEAM/article/view/17801
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author Anindya Aulia Nisa
Elok Sri Utami
Ana Mufidah
author_facet Anindya Aulia Nisa
Elok Sri Utami
Ana Mufidah
author_sort Anindya Aulia Nisa
collection DOAJ
description This study aims to analyze financial ratios in predicting financial distress in banking companies listed on the IDX using the CAR, NPL, BOPO, ROA, ROE, and LDR ratios. The sampling technique is purposive sampling with the criteria of companies that have the potential to experience financial distress, characterized by companies that experience negative net income for at least two consecutive years and those that do not. The method of analysis is logistic regression with data pooling. The results show that NPL can predict the financial distress condition of a banking company, while CAR, BOPO, ROA, ROE, LDR cannot predict the financial distress condition of a banking company. Keywords: Financial Distress, Financial Ratios, Banking, Logistic Regression
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spelling doaj.art-2b304fb3217245a29041e78a75cdf3902023-01-16T14:42:17ZengUniversitas JemberJurnal Ekonomi Akuntansi dan Manajemen1412-53662459-98162021-04-01201334410.19184/jeam.v20i1.1780117801Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek IndonesiaAnindya Aulia Nisa0Elok Sri Utami1Ana Mufidah2Jurusan Manajemen, Fakultas Ekonomi dan Bisnis, Universitas JemberJurusan Manajemen, Fakultas Ekonomi dan Bisnis, Universitas JemberJurusan Manajemen, Fakultas Ekonomi dan Bisnis, Universitas JemberThis study aims to analyze financial ratios in predicting financial distress in banking companies listed on the IDX using the CAR, NPL, BOPO, ROA, ROE, and LDR ratios. The sampling technique is purposive sampling with the criteria of companies that have the potential to experience financial distress, characterized by companies that experience negative net income for at least two consecutive years and those that do not. The method of analysis is logistic regression with data pooling. The results show that NPL can predict the financial distress condition of a banking company, while CAR, BOPO, ROA, ROE, LDR cannot predict the financial distress condition of a banking company. Keywords: Financial Distress, Financial Ratios, Banking, Logistic Regressionhttps://jurnal.unej.ac.id/index.php/JEAM/article/view/17801
spellingShingle Anindya Aulia Nisa
Elok Sri Utami
Ana Mufidah
Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
Jurnal Ekonomi Akuntansi dan Manajemen
title Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
title_full Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
title_fullStr Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
title_full_unstemmed Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
title_short Analisis Kondisi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia
title_sort analisis kondisi financial distress pada perusahaan perbankan di bursa efek indonesia
url https://jurnal.unej.ac.id/index.php/JEAM/article/view/17801
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AT eloksriutami analisiskondisifinancialdistresspadaperusahaanperbankandibursaefekindonesia
AT anamufidah analisiskondisifinancialdistresspadaperusahaanperbankandibursaefekindonesia