Developing a Decision Rule to Predict Failure: The Case of Savings and Loan Associations.
Posted: 28 May 2017
Date Written: January 1, 1994
The relative costs of misclassifying institutions by their financial health is an issue that concerns researchers. In this paper, a model and decision rule are developed that improve the probability of identifying those Savings and Loans that are predicted not to fail, but are actually failing. For obvious reasons, stakeholders in those institutions are very much interested in avoiding this type I error. The study also makes available evidence that the examination of Z-scores can be useful in identifying other financial institutions that may experience financial failure.
Keywords: financial institutions, failure, prediction model, financial crisis, relative cost
JEL Classification: G01, G18, G21, G33, G38
Suggested Citation: Suggested Citation