 How Early Can Non-Performance Loan Predict Bank Failure? Evidence from US Bank Failure during 2008-2010Abdus Samad International Journal of Financial Research, 2018, vol. 9, issue 1, 90-98 Abstract: Probit model was applied on the non-performance loans (NPL) of eight quarters, quarter 1¡ª quarter 8, in determining the significant quarter before the bank was declared failure. The result of the Probit estimates found that as early as one-year ahead (4th quarter-ahead) bank-failure can be alerted and predicted. The NPL of the 4th quarter was a significant predictor of bank failure. The estimates of the model correctly predicts 89.6 percent of the U.S. banks that failed and 97.6 percent of the banks that survived during 2008-2010. Overall, the estimated model correctly predicts 95.5 percent of the observations (89.6 percent of the failure =0 and 97.6 percent of the survival=1 observations). The paper provides policy prescription that bank managements and bank regulators should pay attention to the early quarter(s) that are significant factor (s) for bank failure. Keywords: Non Performance Loan; Probit Regression; Early Prediction; Bank Failure; U.S. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:jfr:ijfr11:v:9:y:2018:i:1:p:90-98 DOI: 10.5430/ijfr.v9n1p90 Access Statistics for this article International Journal of Financial Research is currently edited by Gina Perry More articles in International Journal of Financial Research from International Journal of Financial Research, Sciedu Press |
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