2022
DOI: 10.1002/jcaf.22539
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Revisiting credit risk and banks performance of China's commercial banks before and after Covid 19 pandemic

Abstract: The effectiveness of the financial market is reflected in the financial crisis which mostly results in credit risk. The impact of credit risk in China is likely to affect the global economy since China is the fastest‐growing economy as well as the second‐best economy in the world in terms of gross domestic product. Using panel data for twenty‐eight listed commercial banks in China from 1990 to 2020, the study explored the relationship between credit risk and business performance. The authors utilized the Gener… Show more

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Cited by 18 publications
(6 citation statements)
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References 63 publications
(77 reference statements)
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“…The GMM estimator solves the issue of autocorrelation and heteroskedasticity [ 27 ]. GMM handles hidden standard shocks to avoid endogeneity problems caused by inverse causality and biased selection [ 61 ]. The fixed effect estimator enables heterogeneity to be accounted [ 62 ].…”
Section: Resultsmentioning
confidence: 99%
“…The GMM estimator solves the issue of autocorrelation and heteroskedasticity [ 27 ]. GMM handles hidden standard shocks to avoid endogeneity problems caused by inverse causality and biased selection [ 61 ]. The fixed effect estimator enables heterogeneity to be accounted [ 62 ].…”
Section: Resultsmentioning
confidence: 99%
“…TD has increased credit risk in 2022 compared to before thus negatively affecting the later performance and growth of the bank. As concluded by Twum et al (2022), credit risk and bank performance are negatively correlated, as credit risk increases, then performance decreases [15]. Based on this, if EAD continues to rise, it will reduce the bank's profitability as well as increase the non-performing loans.…”
Section: Credit Riskmentioning
confidence: 87%
“…Based on the preliminary tests, the GMM and PMG estimators were employed. The GMM estimator is resistant to distributional assumptions, and it may be used to correct the endogeneity bias and serial correlation of the study variables [44]. Additionally, when there is endogeneity in the model, the PMG estimator can still provide reliable and unbiased findings, thus improving the effectiveness and dependability of our findings.…”
Section: Estimation Technique and Data Processingmentioning
confidence: 95%