Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment
This study compares DEA (data envelopment analysis) with DEA-DA (discriminant analysis) in terms of bankruptcy assessment. Recently, many DEA researchers propose a use of DEA as a quick-and-easy tool to assess corporate bankruptcy. Meanwhile, other DEA researchers discuss a use of DEA-DA for bankruptcy-based financial analysis. The two groups are very different from the conventional use of DEA because we have long applied DEA to the measurement of operational performance, or productivity analysis. The two research groups open up a new application area (bankruptcy-based financial assessment) for DEA. This study discusses methodological strengths and weaknesses of DEA and DEA-DA from the perspective of corporate failure. The proposed comparative analysis has the three main criteria: (a) how to handle negative data in financial variables, (b) how to handle data imbalance between default and non-default firms, and (c) how to identify a failure process over time. This study finds that DEA is a managerial tool for the initial assessment of corporate failure and DEA is useful for busy corporate leaders and financial managers. In contrast, DEA-DA is useful for researchers and individuals who are interested in the detailed assessment of bankruptcy and its failure process in a time horizon.
Year of publication: |
2009
|
---|---|
Authors: | Sueyoshi, Toshiyuki ; Goto, Mika |
Published in: |
European Journal of Operational Research. - Elsevier, ISSN 0377-2217. - Vol. 199.2009, 2, p. 561-575
|
Publisher: |
Elsevier |
Subject: | DEA Discriminant analysis Finance Bankruptcy |
Saved in:
Saved in favorites
Similar items by person
-
Difficulties and remedies on DEA environmental assessment
Sueyoshi, Toshiyuki, (2018)
-
World trend in energy: An extension to DEA applied to energy and environment
Sueyoshi, Toshiyuki, (2017)
-
Sustainable development and corporate social responsibility in Japanese manufacturing companies
Goto, Mika, (2020)
- More ...