In the banking industry, the production process can be described as a two-stage process. There are a number of published data envelopment analysis (DEA) papers that study the bank performance with two-stage model. However, none of them is applied to identify bank failure. In fact, only one of them deals with negative profit data. In the real world, failed banks or firms often produced negative profit for several years before they went into bankruptcy. To fit this situation this paper introduces a two-stage worst-practice frontier DEA (WPFDEA) model that can deal with negative profit data and effectively identify failed bank(s) in the worse-case scenario. This model is applied in an empirical study. The result is then compared with the result from a twostage best-practice frontier DEA model to show the adequacy of WPF-DEA model for identifying failed bank(s) in the worst-case scenario.
|Number of pages||10|
|Journal||WSEAS Transactions on Information Science and Applications|
|State||Published - 1 Mar 2012|
- Data envelopment analysis
- Worst-case scenario
- Worst-practice frontier