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Financial distress criteria defined by clustering of longitudinal data
Title Financial distress criteria defined by clustering of longitudinal data Author info Mária Stachová, Lukáš Sobíšek Author Stachová Mária 1981- (80%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Co-authors Sobíšek Lukáš (20%)
Source document Conference proceedings : the 10th international days of statistics and economics, September 8–10, 2016, Prague. S. 1703-1712. - Praha : Vysoká škola ekonomická, 2016 ; International days of statistics and economics medzinárodná konferencia Keywords financial distress clustering Language English Country Czech Republic systematics 330 Annotation Financial distress is a situation in which a company cannot pay or has a difficulty to pay off its financial obligations. The crucial step in each analysis of companies' financial status is to define the criteria that would describe the financial difficulties of enterprises with high accuracy. In our analyses of financial distress of Slovak companies, three criteria are considered: (1) the equity, (2) the earnings after taxes and (3) the current ratio value. Our main goal is to investigate if it is possible to identify homogeneous clusters regarding the companies' financial health by using the financial longitudinal data. The k-means partitioning of companies is based on time trajectories of these criteria. The clustering is made by using statistical system R and the package "kml". The results show, that recognition of patterns in panel data set can be helpful in the process of financial distress analysis, but it is necessary to add an expert point of view as well. Public work category AFC No. of Archival Copy 38289 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
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Number of the records: 1