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- W2140692301 abstract "In this paper we develop classification models that could assist auditors in their decision to issue a qualified or unqualified opinion during the auditing of EU credit institutions. The models are developed with the Utilites Additives Discriminantes (UTADIS) multicriteria technique and incorporate financial and non‐financial variables. Discriminant analysis is also employed for comparison purposes. The dataset consists of 80 qualified financial statements and 2,631 unqualified ones, from 446 credit institutions operating in eight EU countries over the period 1995–2002. The models are developed and tested using a ten‐fold cross‐validation approach. The results show that the developed auditing models can discriminate between financial statements that should receive qualified opinions from the ones that should receive unqualified opinions. The overall accuracy is 73.55% in the validation sample for a general model and increases up to 88.49% in the case of a model developed specifically for commercial banks." @default.
- W2140692301 created "2016-06-24" @default.
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- W2140692301 date "2006-07-01" @default.
- W2140692301 modified "2023-10-16" @default.
- W2140692301 title "External Auditors' Decisions in EU Credit Institutions: A Multicriteria Approach" @default.
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- W2140692301 doi "https://doi.org/10.1111/j.1099-1123.2006.00348.x" @default.
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