Credit Risk Oracle: The Bifocal Approach

  • Areeba Khan The Islamia University of Bahawalpur, Pakistan
  • Zulaiha A. Zubair Federal University Dutsinma,Katsina State Nigeria
  • Erum Fayyaz The Islamia University of Bahawalpur Pakistan
  • Iffat Hussain The Islamia University of Bahawalpur Pakistan
Keywords: Credit risk, Non-performing loans, Macro-economic, Bank specific, Industrial sector growth

Abstract

This study aims to examine the macroeconomic and bank specific predictors of Credit Risk (NPL) and their relevant degree of impact on banks in Pakistan. For bank variables a sample of big 10 banks has been taken from 2009 to 2018. For macro-economic variables sample of 2009 to 2018 has been taken from the world bank. As financial institutions play their role to support industries and alleviate poverty in a country, this study checks the effect of banking variables as well as the economic variables on the credit risk of banks by taking industrial sector growth as a moderator. The study found that NPLs are negatively associated with Lending interest rate, Bank investment, Capital adequacy ratio, Domestic credit to private sector, Financial depth and GDP growth while positively associated with Lending capability, Return on equity, Interest spread and Liquidity Ratio. The moderation effect of Industrial sector growth on the relationship of Lending Capability and NPLs is found to be strengthening the relationship.

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Author Biographies

Areeba Khan, The Islamia University of Bahawalpur, Pakistan

The Islamia University of Bahawalpur, Pakistan

Zulaiha A. Zubair, Federal University Dutsinma,Katsina State Nigeria

Federal University Dutsinma,Katsina State Nigeria

Published
2019-06-30
How to Cite
Khan, A., Zubair, Z. A., Fayyaz, E., & Hussain, I. (2019). Credit Risk Oracle: The Bifocal Approach. Sustainable Business and Society in Emerging Economies, 1(1), 29-42. https://doi.org/10.26710/sbsee.v1i1.999