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      The Impact of Bank Specific and Macro-Economic Factors on Non-Performing Loans in the Banking Sector: Evidence from an Emerging Economy

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      Journal of Risk and Financial Management
      MDPI AG

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          Abstract

          The current study examines macro-economic and bank specific determinants of non-performing loans (NPLs) for commercial banks from 2008–2018. The Pakistani banking sector has observed a significant increase in NPLs. In addition, the current study is undertaken to fill this gap in the literature as most of the prior studies focus on the developed markets. In the current study, we prefer the system GMM estimator. Its reliability depends on the validity of the instruments. To testing the second-order serial correlation, we apply the J test for testing the validity of the instruments and the Arellano–Bond AR (2) test. Using dynamic-GMM estimations, we find that credit growth, net interest margin, loan loss provision, and bank diversification significantly increase NPLs, while operating efficiency, bank size, and ROA lower NPLs. In addition, higher interest rates, exchange rates, and political risk significantly increase NPLs, while GDP growth decreases NPLs. This paper provides a timely insight to management and policy makers about the determinants of NPLs. The findings help management to take corrective actions and policy makers may take into consideration the significance of macro-economic conditions while formulating policy regarding NPLs. Likewise, the study provides insight to potential investors to consider the findings while selecting better investment opportunity. The current study is the first of its kind focusing on the link among bank specific, macroeconomic variables, and non-performing loans within the specific context of an emerging economy, Pakistan.

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          Most cited references44

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          Initial conditions and moment restrictions in dynamic panel data models

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            Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

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              Another look at the instrumental variable estimation of error-components models

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Risk and Financial Management
                JRFM
                MDPI AG
                1911-8074
                May 2021
                May 11 2021
                : 14
                : 5
                : 217
                Article
                10.3390/jrfm14050217
                922770ac-dde6-4c4e-a6be-e170dc51c028
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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