Impact of Credit Risk Management in Profitability of Commercial Banks of Nepal

This study investigates the key determinants of bank profitability in Nepal over the period 2004 to 2025, focusing on internal bank-specific factors. The analysis employs panel data regression techniques using both fixed effects (FE) and random effects (RE) models to examine the impact of the capital adequacy ratio (CAR), non-performing loan ratio (NPLR), and bank size on return on equity (ROE). The study is motivated by the growing need for effective risk management and sustainable financial performance within Nepal’s evolving banking sector. Results from the Hausman test favor the fixed effects model, indicating that unobserved, bank-specific characteristics are correlated with the explanatory variables. The FE model findings reveal that higher capital adequacy and larger bank size have a statistically significant positive effect on profitability, while a higher level of nonperforming loans negatively impacts ROE. In contrast, the random effects model shows weaker and largely insignificant relationships. These findings underscore the critical role of sound capital management and credit risk control in enhancing the profitability and financial health of commercial banks in Nepal.

Authors

Institutions

Publication Details

Journal
Nepalese Journal of Economic Studies
Published
2025-08-11
DOI
https://doi.org/10.3126/njes2.v4i1.82959
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Credit Risk Management in Profitability of Commercial Banks of Nepal

Rabin Dahal, Deepa Panthi Dhungana
Nepalese Journal of Economic Studies
Banking stability, regulation, efficiency
article

Impact of Credit Risk Management in Profitability of Commercial Banks of Nepal

Rabin Dahal, Deepa Panthi Dhungana
article en

Abstract

This study investigates the key determinants of bank profitability in Nepal over the period 2004 to 2025, focusing on internal bank-specific factors. The analysis employs panel data regression techniques using both fixed effects (FE) and random effects (RE) models to examine the impact of the capital adequacy ratio (CAR), non-performing loan ratio (NPLR), and bank size on return on equity (ROE). The study is motivated by the growing need for effective risk management and sustainable financial performance within Nepal’s evolving banking sector. Results from the Hausman test favor the fixed effects model, indicating that unobserved, bank-specific characteristics are correlated with the explanatory variables. The FE model findings reveal that higher capital adequacy and larger bank size have a statistically significant positive effect on profitability, while a higher level of nonperforming loans negatively impacts ROE. In contrast, the random effects model shows weaker and largely insignificant relationships. These findings underscore the critical role of sound capital management and credit risk control in enhancing the profitability and financial health of commercial banks in Nepal.

Nepalese Journal of Economic StudiesVol. 4(1)
University of Padua (IT)
Openalex Percentile: Top 74%
Banking stability, regulation, efficiency
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.