Analysis Of The Impact Of Credit Risk And Operational Risk On Financial Stability Case Study On State-Owned Enterprises In The Banking Sub-Sector

Banks are business entities that collect funds from the public in the form of deposits and channel them to the public in the form of credit and/or other forms of improving the standard of living of the people. This study aims to determine the effect of credit risk and operational risk on Financial Stability. Financial Stability ratios measured using Financial Stability assets and credit risk and operational risk are measured by non-performing loans (NPL) and BOPO. Data obtained from published financial statements published by Bank Indonesia with a period of time from 2015 to 2024. The sampling technique used in this study was purposive sampling. The number of samples is 3 banking companies listed on the Indonesia Stock Exchange. The analytical method that will be used in this study is multiple linear regression to obtain a comprehensive picture of the relationship between one variable and another. Based on hypothesis testing using statistical t test and f test the results of the research show that Non Performing Loans (NPL) have a significant effect on Financial Stability, while BOPO does not have a significant effect on Financial Stability and simultaneously there is a significant influence of Non Performing Loans (NPL) and BOPO on Financial Stability

Authors

Publication Details

Journal
Journal of Science Education and Management Business
Published
2025-08-18
DOI
https://doi.org/10.62357/joseamb.v4i2.722
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis Of The Impact Of Credit Risk And Operational Risk On Financial Stability Case Study On State-Owned Enterprises In The Banking Sub-Sector

Yopi Yopi, Helprida Simamora
Journal of Science Education and Management Business
Islamic Finance and Banking Studies
article

Analysis Of The Impact Of Credit Risk And Operational Risk On Financial Stability Case Study On State-Owned Enterprises In The Banking Sub-Sector

Yopi Yopi, Helprida Simamora
article en

Abstract

Banks are business entities that collect funds from the public in the form of deposits and channel them to the public in the form of credit and/or other forms of improving the standard of living of the people. This study aims to determine the effect of credit risk and operational risk on Financial Stability. Financial Stability ratios measured using Financial Stability assets and credit risk and operational risk are measured by non-performing loans (NPL) and BOPO. Data obtained from published financial statements published by Bank Indonesia with a period of time from 2015 to 2024. The sampling technique used in this study was purposive sampling. The number of samples is 3 banking companies listed on the Indonesia Stock Exchange. The analytical method that will be used in this study is multiple linear regression to obtain a comprehensive picture of the relationship between one variable and another. Based on hypothesis testing using statistical t test and f test the results of the research show that Non Performing Loans (NPL) have a significant effect on Financial Stability, while BOPO does not have a significant effect on Financial Stability and simultaneously there is a significant influence of Non Performing Loans (NPL) and BOPO on Financial Stability

Journal of Science Education and Management BusinessVol. 4(2)
Openalex Percentile: Top 68%
Islamic Finance and Banking Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.