Firm credit risk evaluation: a series two-stage DEA modeling framework

Ioannis Tsolas ()

Annals of Operations Research, 2015, vol. 233, issue 1, 483-500

Abstract: This paper documents a new series two-stage DEA modeling framework for credit risk evaluation in terms of operating performance efficiency and effectiveness that is implemented to a sample of listed Greek firms of basic resources and chemicals sector. In the series stages two types of DEA metrics are used: The first type is based on the range adjusted measure (RAM) whereas the second type is based on a common set of weights (CSW) of RAM. Performance inefficiency is uncovered in both performance dimensions, but the real problem of inefficiency of the sampled firms is a lower level of effectiveness, rather than operating performance efficiency. The operating efficiency is not correlated with effectiveness, and thus it seems that there is not a link between the performance at the operational (cost-oriented) and financial (profit-oriented) spaces of the firm. Therefore, sample firms should give more emphasis on their profit-oriented policies to ensure their success in the industry. The research framework may benefit not only Greek listed firms, but also firms in other countries to quantify their performance and improve their competitive advantages. Copyright Springer Science+Business Media New York 2015

Keywords: Data envelopment analysis; Credit risk; Basic resources sector; Chemicals sector; Greece (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s10479-014-1566-x

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