Detecting false financial statements: evidence from Greece in the period of economic crisis

  • Received June 20, 2017;
    Accepted August 14, 2017;
    Published October 5, 2017
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  • Article Info
    Volume 14 2017, Issue #3, pp. 102-112
  • Cited by
    9 articles

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

The purpose of this study is the examination of the financial fraud in Greek companies, listed on the Athens Exchange for the period of 2008-2015 during the economic crisis in Greece. The data of all the listed companies that were used comprise financial statements, reviews in the reports by the auditors and the figures and information based on the reports of the Athens Exchange. A total of twelve companies were found and they comprise the primary research sample with fraud in their financial statements (FFS), while another twelve companies were employed as a control sample (non-FFS) for various comparisons. From thirty financial ratios, several statistical tests to the sample and the control sample are applied in order to create a model that will use ratios as “predictors” in the analysis of financial statements for fraud. The model is accurate in classifying the total sample correctly with accuracy rates exceeding 90 percent. The results demonstrate that the model functions effectively in detecting FFS in a period of economic crisis and could be used as a tool to the banking system, from internal and external auditors and taxation or other state authorities.

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    • Table 1. Classification of financial ratios
    • Table 2. Analysis of falsifications in categories
    • Table 3. Comparison results (t-tests) of characteristics of FFS and non-FFS
    • Table 4. Comparison results (t-tests) of ratios from FFS and non-FFS
    • Table 5. Stepwise logistic regression results of FFS and non-FFS