Forecasting Bank Failure : A Non-Parametric Frontier Estimation Approach
The dramatic rise in bank failures over the last decade has led to a search for leading indicators so that costly bailouts might be avoided. While the quality of a bank's management is generally acknowledged to be a key contributor to institutional collapse, it is usually excluded from early-warning models for lack of a metric. This paper describes a new approach for quantifying a bank's managerial efficiency, using a data- envelopment-analysis model that combines multiple inputs and outputs to compute a scalar measure of efficiency. This new metric captures an elusive, yet crucial, element of institutional success: management quality. New failure-prediction models for detecting a bank's troubled status which incorporate this explanatory variable have proven to be robust and accurate, as verified by in-depth empirical evaluations, cost sensitivity analyses, and comparisons with other published approaches
|Date of creation:||01 Dec 1994|
|Date of revision:|
|Contact details of provider:|| Postal: |
Fax: +32 10473945
Web page: http://www.uclouvain.be/ires
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ctl:louvre:1994041. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sebastien SCHILLINGS)
If references are entirely missing, you can add them using this form.