The Impact of Bank-Specific Factors on Bank Credit Risks: A Panel Data Analysis of the U.S. and China Banking Sectors
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Addo, Kwabena Aboah | |
| dc.contributor.author | Chen, Kaili | |
| dc.date.accessioned | 2025-09-30T00:02:21Z | |
| dc.date.available | 2025-09-30T00:02:21Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/50465 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | This paper primarily investigates the impact of bank-specific indicators on credit risk, measured by non-performing loans (NPLs), using a sample of the top 15 banks in both the United States and China during the period from 2015 to 2024. A Fixed Effects model is applied to analyze the relationship between micro-level variables and NPLs, while macro variables are included as control variables to avoid omitted variable bias and ensure more accurate estimation. | |
| dc.title | The Impact of Bank-Specific Factors on Bank Credit Risks: A Panel Data Analysis of the U.S. and China Banking Sectors | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Banking and Finance | |
| dc.thesis.id | 52986 |
