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Title Default prediction modelling for small enterprises: case Slovakia Author info Hussam Musa Author Musa Hussam 1968- (100%) UMBEF04 - Katedra financií a účtovníctva
Source document Vision 2025 : education excellence and management of innovations through sustainable economic competitive advantage : proceedings of the 34th international business information management association conference (IBIMA). 13-14 November 2019, Madrid, Spain. Pp. 6342-6355. - Madrid : International Business Information Management Association (IBIMA), 2019 ; IBIMA international business information management association conference (IBIMA) Keywords finančné zdravie - financial health prediction models failure regresné modely - regression models Form. Descr. príspevky v zborníku - proceedings papers Language English Country Spain Annotation Business financial failure prediction is of critical importance for decision making of investors, mangers and shareholders. Over the past 40 years, the topic of "business failure prediction" has developed to a major research domain in corporate finance. In current financial failure prediction models, various financial ratios are usually as prediction variables, which implicates that these financial ratios represent the possible cause of financial failure. It is widely recognized that a main cause of financial failure is poor management, and that business operation efficiency is a good reflection of a firm's management. The goal of the contribution is to compile a complex model of prediction under conditions of the Slovak Republic, we used methods of discriminatory analysis, logistic regression and decision trees, all of which served to model the prediction of bankruptcy or unfavourable business development in the future. To conduct the research, we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Financial health prediction models for businesses have the potential to provide methodological tools or mechanism not only for financial management but can also be a positive solution for other disciplines and are interdisciplinary in their nature. Public work category AFC No. of Archival Copy 48251 Repercussion category PAVLICKO, Michal - DURICA, Marek - MAZANEC, Jaroslav. Ensemble model of the financial distress prediction in Visegrad Group countries. In Mathematics. ISSN 2227-7390, 2021, vol. 9, no. 16, pp. 1-26.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
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Title Návrh modifikovanej podoby modelu predikovania finančnej situácie slovenských podnikov Par.title An updated version of the prediction model of financial situation in Slovak enterprises Author info Ľubica Lesáková, Petra Gundová Author Lesáková Ľubica 1949- (50%) UMBEF03 - Katedra ekonomiky a manažmentu podniku
Co-authors Gundová Petra 1986- (50%) UMBEF03 - Katedra ekonomiky a manažmentu podniku
Source document Ekonomika a spoločnosť : vedecký časopis Ekonomickej fakulty UMB v Banskej Bystrici. Roč. 16, č. 1 (2015), s. 14-24. - Banská Bystrica : Ekonmická fakulta UMB, 2015 Keywords finančná analýza ex ante - financial analysis ex ante predikčný model logistická regresia finančná analýza - financial analysis prediction models náhodné lesy - náhodný les - random forests Language Slovak Country Slovak Republic systematics 336.7 Annotation Predmetom state sú modely predikcie finančnej situácie podnikov a ich modifikácia v podmienkach slovenských podnikov. Využité boli metódy rozhodovacích stromov, náhodného lesa a logistickej regresie. The aim of the paper is to propose an updated version of the prediction model for the chosen sample of Slovak enterprises. For the model creation were used methods of conditional trees, random forests and logistic regression. Public work category ADF No. of Archival Copy 33830 Repercussion category HUDECOVÁ, Eva - SUCHÝ, Tomáš. Konkurzné konanie a predpoklady uspokojovania veriteľov v Slovenskej republike. In Ekonomika a spoločnosť : vedecký časopis Ekonomickej fakulty UMB v Banskej Bystrici. ISSN 1335-7069, 2016, roč. 17, č. 1, s. 77-88.
GAVUROVÁ, Beáta - PACKOVÁ, Miroslava - MIŠANKOVÁ, Mária - SMRČKA, Ľuboš. Predictive potential and risks of selected bankruptcy prediction models in the Slovak business environment. In Journal of business economics and management. ISSN 1611-1699, 2017, vol. 18, no. 6, pp. 1156-1173.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised
Title A few notes to business financial health prediction Author info Vladimír Hiadlovský, Pavol Kráľ Author Hiadlovský Vladimír 1978- (50%) UMBEF03 - Katedra ekonomiky a manažmentu podniku
Co-authors Kráľ Pavol 1978- (50%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Source document Managing and modelling of financial risks : 7th international scientific conference, 8th - 9th September 2014, Ostrava, Czech Republic, Part I.. S. 248-255. - Ostrava : VŠB - Technická univerzita Ostrava, 2014 / Dluhošová Dana ; Zmeškal Zdeněk ; Managing and modelling of financial risks medzinárodná vedecká konferencia Keywords finančné zdravie - financial health finančná analýza ex ante - financial analysis ex ante prediction models metodológia - methodology Language English Country Czech Republic systematics 005 Public work category AFC No. of Archival Copy 31973 Repercussion category VALASKOVÁ, Katarina - KLIEŠTIK, Tomáš - SVABOVÁ, Lucia - ADAMKO, Peter. Financial risk measurement and prediction modelling for sustainable development of business entities using regression analysis. In Sustainability. ISSN 2071-1050, 2018, vol. 10, no. 7, pp. 1-15.
GUNDOVÁ, Petra - VYLETELOVÁ, Eva. Komparácia predikčnej schopnosti metód viacrozmernej diskriminačnej analýzy a logit a probit modelov. In Ekonomika a spoločnosť : vedecký časopis Ekonomickej fakulty UMB v Banskej Bystrici. ISSN 1335-7069, 2018, roč. 19, č. 2, s. 119-127.
GROFČÍKOVÁ, Janka. The use of financial analysis indicators for the monitoring of company financial situation and elimination of financial risk. In 8th international scientific conference : managing and modelling of financial risks, Ostrava, 05th-06th September 2016. Ostrava : Technical University of Ostrava, Faculty of Economics, 2016. ISBN 978-80-248-3994-3, pp. 248-255.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised