The Effect of CAMELS Ratio on Banking Distress in Private Banking Sector Listed on The IDX Period 2020 – 2022

Adelia Dinda Ayu Vandana, Achmad Kautsar
{"title":"The Effect of CAMELS Ratio on Banking Distress in Private Banking Sector Listed on The IDX Period 2020 – 2022","authors":"Adelia Dinda Ayu Vandana, Achmad Kautsar","doi":"10.47153/sss36.7812023","DOIUrl":null,"url":null,"abstract":"This study aims to determine the effects of CAMELS ratio analysis (Capital, Asset Quality, Management, Earnings, Liquidity, and Sensitivity to Market Risk) on Banking Distress in the private banking sector that is listed on the Indonesian Stock Exchange (IDX) for the period 2019 – 2021. The object of this research is 31 private banks, and the data collection technique uses a purposive sampling technique. The data source needed in the research is secondary data, which is annual financial statements from Indonesian Stock Exchange. This research is conclusive on causality by using the Logistic Regression Analysis technique on IBM SPSS tools version 29 software. The result shows that the variables Capital Adequacy Ratio (CAR) and Non-Performing Loans (NPL) have a positively significant effect on Banking Distress, while Operating Expenses to Operating Income (BOPO), Net Profit Margin (NPM), Return on Assets (ROA), Loan to Deposit Ratio (LDR), and Interest Rate Risk (IRR) have no significant effect on Banking Distress. This study can be a valuable reference for banking sectors in avoiding indicators leading to banking distress. Future researchers can develop the elements from this research, including a more expansive period of interval, carrying more varied independent variables from external factors, and using other more accurate models.","PeriodicalId":505907,"journal":{"name":"Social Science Studies","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47153/sss36.7812023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to determine the effects of CAMELS ratio analysis (Capital, Asset Quality, Management, Earnings, Liquidity, and Sensitivity to Market Risk) on Banking Distress in the private banking sector that is listed on the Indonesian Stock Exchange (IDX) for the period 2019 – 2021. The object of this research is 31 private banks, and the data collection technique uses a purposive sampling technique. The data source needed in the research is secondary data, which is annual financial statements from Indonesian Stock Exchange. This research is conclusive on causality by using the Logistic Regression Analysis technique on IBM SPSS tools version 29 software. The result shows that the variables Capital Adequacy Ratio (CAR) and Non-Performing Loans (NPL) have a positively significant effect on Banking Distress, while Operating Expenses to Operating Income (BOPO), Net Profit Margin (NPM), Return on Assets (ROA), Loan to Deposit Ratio (LDR), and Interest Rate Risk (IRR) have no significant effect on Banking Distress. This study can be a valuable reference for banking sectors in avoiding indicators leading to banking distress. Future researchers can develop the elements from this research, including a more expansive period of interval, carrying more varied independent variables from external factors, and using other more accurate models.
CAMELS 比率对 2020 - 2022 年期间在 IDX 上市的私人银行业银行困境的影响
本研究旨在确定 CAMELS 比率分析(资本、资产质量、管理、盈利、流动性和对市场风险的敏感性)对 2019 - 2021 年期间在印度尼西亚证券交易所(IDX)上市的私营银行业的银行困境的影响。本研究的对象是 31 家私人银行,数据收集技术采用目的性抽样技术。研究需要的数据来源是二手数据,即印尼证券交易所的年度财务报表。本研究使用 IBM SPSS 工具 29 版软件的逻辑回归分析技术对因果关系进行了确证。结果表明,资本充足率(CAR)和不良贷款率(NPL)这两个变量对银行经营困境有正向显著影响,而营业支出与营业收入比(BOPO)、净利润率(NPM)、资产收益率(ROA)、贷款与存款比(LDR)和利率风险(IRR)对银行经营困境没有显著影响。这项研究可以为银行业提供有价值的参考,避免出现导致银行业困境的指标。未来的研究者可以发展本研究的内容,包括更宽泛的时间间隔、携带更多外部因素的自变量以及使用其他更精确的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信