Analysing the impact of macroeconomic variables on non-performing loans in Nepalese banks

Nepal’s financial system is largely bank-centric, with 18 private and 3 state-owned commercial banks as of 2023. Non-performing loans (NPLs) directly impact financial stability and the broader economy, making it essential to understand how macroeconomic indicators affect these loans. This study analyzes trends in NPL ratios between state-owned and privately owned commercial banks in Nepal, focusing on the influence of real GDP growth, the Nepal Rastra Bank (NRB) policy rate, and inflation on NPL levels. Using an explanatory research design, the study draws on secondary data from the Nepal Rastra Bank, the National Statistics Office, and the IMF, covering quarterly data from 2007/08 Q2 to 2022/23 Q1. The dependent variable, NPLs, is analyzed against independent variables—real GDP growth, NRB policy rate, and inflation. Adjustments are made to the CPI data, rebased to 2010/11, with seasonal adjustments applied using X12 from the US Bureau of Statistics. An ARDL regression model, combined with unit root testing, is used to measure the macroeconomic impacts on NPLs, with a robustness check involving data on private bank NPLs. The findings reveal that state-owned banks maintain higher NPL ratios than private banks. Moreover, inflation has been shown to have a significant negative effect on NPLs, while the NRB policy rate has had a considerable positive impact. The findings offer actionable insights for regulators, commercial banks, and policymakers to develop tailored strategies for mitigating NPL risks, contributing to the overall financial stability and economic resilience of Nepal.

Authors

Institutions

Publication Details

Journal
Butwal Campus Journal
Published
2024-12-31
DOI
https://doi.org/10.3126/bcj.v7i2.73187
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

Analysing the impact of macroeconomic variables on non-performing loans in Nepalese banks

Baikuntha Pandey
Butwal Campus Journal
Banking stability, regulation, efficiency
article

Analysing the impact of macroeconomic variables on non-performing loans in Nepalese banks

Baikuntha Pandey
article en

Abstract

Nepal’s financial system is largely bank-centric, with 18 private and 3 state-owned commercial banks as of 2023. Non-performing loans (NPLs) directly impact financial stability and the broader economy, making it essential to understand how macroeconomic indicators affect these loans. This study analyzes trends in NPL ratios between state-owned and privately owned commercial banks in Nepal, focusing on the influence of real GDP growth, the Nepal Rastra Bank (NRB) policy rate, and inflation on NPL levels. Using an explanatory research design, the study draws on secondary data from the Nepal Rastra Bank, the National Statistics Office, and the IMF, covering quarterly data from 2007/08 Q2 to 2022/23 Q1. The dependent variable, NPLs, is analyzed against independent variables—real GDP growth, NRB policy rate, and inflation. Adjustments are made to the CPI data, rebased to 2010/11, with seasonal adjustments applied using X12 from the US Bureau of Statistics. An ARDL regression model, combined with unit root testing, is used to measure the macroeconomic impacts on NPLs, with a robustness check involving data on private bank NPLs. The findings reveal that state-owned banks maintain higher NPL ratios than private banks. Moreover, inflation has been shown to have a significant negative effect on NPLs, while the NRB policy rate has had a considerable positive impact. The findings offer actionable insights for regulators, commercial banks, and policymakers to develop tailored strategies for mitigating NPL risks, contributing to the overall financial stability and economic resilience of Nepal.

Butwal Campus JournalVol. 7(2)
Tribhuvan University (NP)
Decent work and economic growth
Openalex Percentile: Top 66%
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.