Identification of problem banks and binary choice models

摘要: Abstract This paper develops and tests logit discriminant models that could aid regulatory agencies, as well bank examiners, investors, analysts others in identifying the potential failures banking industry. As a secondary objective, assesses comparative abilities of analyses distinguishing failed from non-failed banks. The are validated by two alternate means. Classification accuracies validation indicate developed useful predicting failures, their weighted efficiencies compare favorably to past.