Abstract

The ascent and fall of the NPL ratio in the banking world can be brought about a few components, both inward and outside to the bank, just as elements from the indebted person inself. This last task research means to decide the impact of the BI Rate and BOPO on NPLs in business banks recorded on the Indonesian Stock Exchange from 2010 to 2020 with an example of fiscal reports from the Q1 of 2010 to the Q4 of 2020 for 6 banking companies. The strategy utilized in this examination is a quantitative exploration technique with the assistance of board information relapse testing. The chose board information relapse technique is the Random Effect Model, whit the outcome that the BI Rate has a hug impact a negative way and BOPO has a critical impact a positive way NPL

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.