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Usefulness of K-means Method in Detection Corporate Crisis

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  • Joanna Dyczkowska

Abstract

Market situation and business environment of construction companies influence significantly decisions met by this group of entities. These decisions are reflected in financial statements, later on. The evaluation of financial condition, which aims at diagnosing corporate crisis, must not disregard a market situation. Taking this assumption into account a classification of publicly quoted construction companies using k-means method was conducted. This procedure enabled to divide the examined sample into five clusters of companies characterized by 'the best', 'good', 'acceptable', 'weak' and 'the poorest' financial condition. The application of the aforementioned algorithm helped also to determine levels of financial ratios typical for each cluster. This kind of analytical approach is particularly useful for investors, since it informs how particular companies perform in comparison to their competitors.

Suggested Citation

  • Joanna Dyczkowska, 2010. "Usefulness of K-means Method in Detection Corporate Crisis," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2010(2), pages 53-70.
    • Handle: RePEc:prg:jnlefa:v:2010:y:2010:i:2:id:49:p:53-70
    DOI: 10.18267/j.efaj.49
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    More about this item

    Keywords

    Assets turnover; Average collection period; Cluster analysis; Current ratio; Financial situation; K-means method; Liabilities payment time; Numerical taxonomy; Return on assets; Return on sales ratio;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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