Analysis of Factors Affecting the Loan Growth of Banks with a Focus on Non-Performing Loans

Se Hak Chun, Namnansuren Ardaaragchaa

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The purpose of this paper is to investigate the intertemporal relationship between the non-performing loan ratio and bank lending and to analyze factors affecting loan growth using data from Mongolian commercial banks. There has been a lack of research on Mongolian banks’ lending behavior due to their short history. Thus, this paper investigates the effect of the non-performing loan ratio on total loan growth using an ordinary least squares (OLS) regression model with panel data. We used bank-related variables such as the loan-to-deposit ratio, provision-to-gross loan portfolio ratio, equity-to-asset ratio, and liquidity ratio, and economic variables such as the real gross domestic product (GDP) growth rate, interest rate, and inflation rate. The results of this paper show that non-performing loans have a significant negative impact on total loan growth. The implication of this result is that non-performing loans affect banking efficiency, which, in turn, affects financial stability and the real economy. Moreover, high non-performing loans reduce banks’ profits. Also, this paper found that loss reserve and the liquidity ratio have a positive effect on total loan growth, while the effects of the loan-to-deposit ratio and the equity capital ratio were not found to be significant. Additionally, from a macro perspective, the inflation rate has a positive effect on the total loan growth rate, while the interest rate has a positive effect on total loan growth rather than a negative effect. And real gross domestic product (GDP) growth does not affect the total loan growth rate.

Original languageEnglish
Article number203
JournalJournal of Risk and Financial Management
Volume17
Issue number5
DOIs
StatePublished - May 2024

Keywords

  • correlation analysis
  • Mongolian commercial banks
  • non-performing loans
  • pooled regression model
  • regression analysis
  • total loans

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