CAR、NPL-Net、LDR对资产收益率增长的回归分析(以2018-2020年IDX上市银行公司为例)

Mohammad Hamim Zajuli Al Faroby
{"title":"CAR、NPL-Net、LDR对资产收益率增长的回归分析(以2018-2020年IDX上市银行公司为例)","authors":"Mohammad Hamim Zajuli Al Faroby","doi":"10.33005/ijdasea.v2i1.24","DOIUrl":null,"url":null,"abstract":"\n \n \nBanking is a financial institution tasked with collecting funds from the public and then channeling them back to obtain income. The bank's performance can be seen by comparing the ratio figures in the annual financial statements that the bank has achieved. Therefore, this study aims to determine the CAR, NPL-Net, and LDR, which affect bank profitability or Return on Assets. This research method uses Multiple Linear Regression Analysis with secondary data and a ratio measurement scale, and the number of samples is 90 samples from 30 banking companies during the 2018-2020 period. This data is sourced from the Indonesia Stock Exchange, with the Judgment Sampling technique. The sample was reduced to 84 by the outlier test due to abnormal data. Based on the results of the analysis, it is known that CAR and LDR have no significant effect on Return on Assets, otherwise, NPL-Net has a significant effect on Return on Assets, and CAR, NPL-Net, LDR simultaneously have a significant effect on Return on Assets. \n \n \n","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regression Analysis of CAR, NPL-Net, LDR on Increasing Return on Asset (Case Study on Banking Companies Listed on IDX in 2018-2020)\",\"authors\":\"Mohammad Hamim Zajuli Al Faroby\",\"doi\":\"10.33005/ijdasea.v2i1.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\nBanking is a financial institution tasked with collecting funds from the public and then channeling them back to obtain income. The bank's performance can be seen by comparing the ratio figures in the annual financial statements that the bank has achieved. Therefore, this study aims to determine the CAR, NPL-Net, and LDR, which affect bank profitability or Return on Assets. This research method uses Multiple Linear Regression Analysis with secondary data and a ratio measurement scale, and the number of samples is 90 samples from 30 banking companies during the 2018-2020 period. This data is sourced from the Indonesia Stock Exchange, with the Judgment Sampling technique. The sample was reduced to 84 by the outlier test due to abnormal data. Based on the results of the analysis, it is known that CAR and LDR have no significant effect on Return on Assets, otherwise, NPL-Net has a significant effect on Return on Assets, and CAR, NPL-Net, LDR simultaneously have a significant effect on Return on Assets. \\n \\n \\n\",\"PeriodicalId\":220622,\"journal\":{\"name\":\"Internasional Journal of Data Science, Engineering, and Anaylitics\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internasional Journal of Data Science, Engineering, and Anaylitics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33005/ijdasea.v2i1.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internasional Journal of Data Science, Engineering, and Anaylitics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33005/ijdasea.v2i1.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

银行业是一种金融机构,其任务是从公众那里收集资金,然后再将其转回以获得收入。通过比较银行在年度财务报表中取得的比率数字,可以看出银行的业绩。因此,本研究旨在确定影响银行盈利能力或资产回报率的CAR、NPL-Net和LDR。本研究方法采用多元线性回归分析,采用二次数据和比例计量量表,样本数量为2018-2020年期间30家银行公司的90个样本。本数据来源于印度尼西亚证券交易所,采用判断抽样技术。由于数据异常,通过离群值检验,样本减少到84个。根据分析结果可知,CAR和LDR对资产收益率没有显著影响,否则,NPL-Net对资产收益率有显著影响,并且CAR、NPL-Net、LDR同时对资产收益率有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Regression Analysis of CAR, NPL-Net, LDR on Increasing Return on Asset (Case Study on Banking Companies Listed on IDX in 2018-2020)
Banking is a financial institution tasked with collecting funds from the public and then channeling them back to obtain income. The bank's performance can be seen by comparing the ratio figures in the annual financial statements that the bank has achieved. Therefore, this study aims to determine the CAR, NPL-Net, and LDR, which affect bank profitability or Return on Assets. This research method uses Multiple Linear Regression Analysis with secondary data and a ratio measurement scale, and the number of samples is 90 samples from 30 banking companies during the 2018-2020 period. This data is sourced from the Indonesia Stock Exchange, with the Judgment Sampling technique. The sample was reduced to 84 by the outlier test due to abnormal data. Based on the results of the analysis, it is known that CAR and LDR have no significant effect on Return on Assets, otherwise, NPL-Net has a significant effect on Return on Assets, and CAR, NPL-Net, LDR simultaneously have a significant effect on Return on Assets.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Forecasting : Bitcoin Price with the ARIMA Method to Help Swing Traders Made Decision Determinants of Exclusive Breastfeeding Practice in Gorontalo Province Metric Comparison For Text Classification Evaluation of Customer Satisfaction with Public Trans-portation in Yogyakarta Implementation of System Dynamics to Increase Successful Utilization of E-Commerce with Marketing and Innovation Capability in MSMEs
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1