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Financial distress criteria defined by clustering of longitudinal data
Názov Financial distress criteria defined by clustering of longitudinal data Aut.údaje Mária Stachová, Lukáš Sobíšek Autor Stachová Mária 1981- (80%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Spoluautori Sobíšek Lukáš (20%)
Zdroj.dok. 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 Kľúč.slová financial distress clustering Jazyk dok. angličtina Krajina Česká republika Systematika 330 Anotácia 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. Kategória publikačnej činnosti AFC Číslo archívnej kópie 38289 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ 
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