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  1. TitleMicro-panel clustering in financial distress prediction
    Author infoMária Stachová, Pavol Kráľ
    Author Stachová Mária 1981- (50%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
    Co-authors Kráľ Pavol 1978- (50%)
    Source document International days of statistics and economics : conference proceedings. Pp. 1143-1150. - Slaný : Melandrium, 2020 ; International days of statistics and economics medzinárodná vedecká konferencia
    Keywords financial distress   panel data cointegration   clustering  
    Form. Descr.príspevky v zborníku - proceedings papers
    LanguageEnglish
    CountryCzech Republic
    URLLink na konferenciu
    Public work category AFC
    No. of Archival Copy49236
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
  2. TitleFinancial distress criteria defined by clustering of longitudinal data
    Author infoMária 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  
    LanguageEnglish
    CountryCzech Republic
    systematics 330
    AnnotationFinancial 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 Copy38289
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
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  3. TitlePoužití Ellisonova-Glaeserova indexu aglomerace pro potřeby průmyslového klastrování
    Par.titleUsing of Ellison-Glaeser agglomeration index for the industrial clustering needs
    Author infoJan Stejskal, Bohuslav Sekerka, Petra Hrnčířová
    Author Stejskal Jan (80%)
    Co-authors Sekerka Bohuslav (10%)
    Hrnčířová Petra (10%)
    Source document Ekonomický časopis : časopis pre ekonomickú teóriu, hospodársku politiku, spoločensko-ekonomické prognózovanie. Roč. 59, č. 9 (2011), s. 942-953. - Bratislava : Ekonomický ústav Slovenskej akadémie vied, 2011
    Keywords Ellison-Glaeser index   klastre - clusters   clustering  
    LanguageCzech
    CountrySlovak Republic
    systematics 330
    AnnotationThe idea of cooperation and industrial clustering is not new. Enough of the practical experience shows that the idea of clustering is not always understand correctly what can delivers not correct results and effects. Business chains and industrial clusters do not represent a universal tool for solving economic problems of the regional economics. It is therefore necessary to provide adequate and effective practical tools what can identify the industrial sectors in which there is a potential of business clusters and chains birth and existence. The various methods analyzing the agglomeration and competitive advantages of the industrial sectors can be usefully used. The aim of this paper is to characterize the selected method Ellison-Glaeser agglomeration index and its use. This method can help to detect agglomerated sectors, respectively geographic concentration what can be used during the industrial clustering process.
    Public work category ADC
    No. of Archival CopyE3591
    Repercussion category PICHOVÁ, Simona. Public and private investments in increasing competitiveness: case study for machinery industry. In 16th European conference on knowledge management (ECKM 2015), Udine, 3-4 September 2015. Sonning Common : Academic conferences and publishing international, 2015. ISBN 978-1-5108-1302-1, pp. 961-967.
    PROKOP, Viktor. The impact of public knowledge investments on enterprises' competitiveness: electronics industry case. In 16th European conference on knowledge management (ECKM 2015), Udine, 3-4 September 2015. Sonning Common : Academic conferences and publishing international, 2015. ISBN 978-1-5108-1302-1, pp. 968-975.
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
    ReferencesPERIODIKÁ-Súborný záznam periodika
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  4. TitleThe Laffer Curve and Spatial Economics in the Family-Oriented Society
    Par.titleLafferova krivka a priestorové ekonómie v rodinne orientovanej spoločnosti
    Author infoDavid Cole
    Author Cole David Austin 1961- (100%) UMBEF06 - Katedra odbornej jazykovej komunikácie
    Source document Sborník příspěvků III. Mezinárodní vědecké konference doktorandů a mladých vědeckých pracovníků : Karviná, 5. listopadu 2010. S. 887-896. - Opava : Slezská univerzita v Opavě, 2010 / Pellešová Pavlína ; Fajová Renata ; Kováčová Jindřiška ; Snopková Miroslava ; 3. mezinárodní vědecká konference doktorandů a mladých vědeckých pracovníků ; 3. mezinárodní vědecká konference doktorandů a mladých vědeckých pracovníků
    NoteBibl.: s. 896
    Keywords Lafferova krivka   clustering   declustering   aglomerácia   Laffer Curve  
    LanguageEnglish
    CountryCzech Republic
    systematics 330
    Public work category AFC
    No. of Archival Copy18931
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
    unrecognised

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  5. TitleTeoretická východiska využití podnikatelského řetězení v odvětví lázeňství
    Author infoJan Stejskal
    Author Stejskal Jan (100%)
    Source documentPublic administration 2008 : conference, 1st-2nd September 2008, Seč u Chrudimi. S. [1-6]. - Pardubice : University of Pardubice, 2008 ; Public administration 2008 konferencia
    Keywords entrepreneurs   wellness   clustering  
    LanguageCzech
    CountryCzech Republic
    systematics 330
    Public work category BEF
    No. of Archival CopyE3827
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ


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