FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382396064> ?p ?o ?g. }

• W4382396064 endingPage "42" @default.
• W4382396064 startingPage "30" @default.
• W4382396064 abstract "Abstract Research purpose. Financial distress being a global phenomenon makes it impact firms in all sectors of the economy and predicting corporate bankruptcy has become a crucial issue in economics. At the beginning of the last century, the first studies aimed to predict corporate bankruptcy were published. In Slovakia, however, several prediction models were developed with a significant delay. The main aim of this paper is to develop a model for predicting bankruptcy based on the financial information of 3,783 Slovak enterprises operating in the manufacturing and construction sectors in 2020 and 2021. Design / Methodology / Approach. A prediction model that uses the appropriate financial indicators as predictors may be developed using multiple discriminant analysis. Multiple discriminant analysis is currently used in prediction model development. In this case, financial health is assessed using several variables that are weighted in order to maximise the difference between the average value calculated in the group of prosperous and non-prosperous firms. When developing a bankruptcy prediction model based on multiple discriminant analysis, it is crucial to determine the independent variables used as primary financial health predictors. Findings. Due to the discriminant analysis results, the corporate debt level of the monitored firms may be regarded as appropriate. Despite the fact that the model identified 215 firms in financial distress due to an insufficient debt level, 3,568 out of 3,783 Slovak enterprises operating in the manufacturing and construction sectors did not have any problems with financing their debts. The self-financing ratio was identified in the developed model as the variable with the highest accuracy. Based on the results, the developed model has an overall discriminant ability of 93% since bankruptcy prediction models require strong discriminating abilities to be used in practice. Originality / Value / Practical implications. The principal contribution of the paper is its application of the latest available data, which could help in more accurate financial stability predictions for firms during the current difficult period. Additionally, this is a ground-breaking research study in Slovakia that models the financial health of enterprises in the post-pandemic period." @default.
• W4382396064 created "2023-06-29" @default.
• W4382396064 creator A5018527299 @default.
• W4382396064 creator A5066046440 @default.
• W4382396064 date "2023-06-01" @default.
• W4382396064 modified "2023-10-18" @default.
• W4382396064 title "Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia" @default.
• W4382396064 cites W1741565531 @default.
• W4382396064 cites W1968713998 @default.
• W4382396064 cites W1994102621 @default.
• W4382396064 cites W2006680549 @default.
• W4382396064 cites W2011414287 @default.
• W4382396064 cites W2020848494 @default.
• W4382396064 cites W2026501592 @default.
• W4382396064 cites W2029829883 @default.
• W4382396064 cites W2046973127 @default.
• W4382396064 cites W2048801439 @default.
• W4382396064 cites W2054135546 @default.
• W4382396064 cites W2093195672 @default.
• W4382396064 cites W2095199042 @default.
• W4382396064 cites W2101873550 @default.
• W4382396064 cites W2121069620 @default.
• W4382396064 cites W2124532504 @default.
• W4382396064 cites W2161000732 @default.
• W4382396064 cites W2165035706 @default.
• W4382396064 cites W2601418844 @default.
• W4382396064 cites W2786381695 @default.
• W4382396064 cites W2791580290 @default.
• W4382396064 cites W2811352070 @default.
• W4382396064 cites W2956011194 @default.
• W4382396064 cites W2980298564 @default.
• W4382396064 cites W3004278263 @default.
• W4382396064 cites W3015135109 @default.
• W4382396064 cites W3021456852 @default.
• W4382396064 cites W3024969229 @default.
• W4382396064 cites W3033592028 @default.
• W4382396064 cites W3083244312 @default.
• W4382396064 cites W3087620056 @default.
• W4382396064 cites W3094221378 @default.
• W4382396064 cites W3096808766 @default.
• W4382396064 cites W3128023989 @default.
• W4382396064 cites W3128244637 @default.
• W4382396064 cites W3135432798 @default.
• W4382396064 cites W3201874260 @default.
• W4382396064 cites W3208200037 @default.
• W4382396064 cites W4200049422 @default.
• W4382396064 cites W4200143598 @default.
• W4382396064 cites W4200498801 @default.
• W4382396064 cites W4206216493 @default.
• W4382396064 cites W4210993699 @default.
• W4382396064 cites W4224049339 @default.
• W4382396064 cites W4283746011 @default.
• W4382396064 cites W4289860302 @default.
• W4382396064 cites W4306778051 @default.
• W4382396064 doi "https://doi.org/10.2478/jec-2023-0003" @default.
• W4382396064 hasPublicationYear "2023" @default.
• W4382396064 type Work @default.
• W4382396064 citedByCount "0" @default.
• W4382396064 crossrefType "journal-article" @default.
• W4382396064 hasAuthorship W4382396064A5018527299 @default.
• W4382396064 hasAuthorship W4382396064A5066046440 @default.
• W4382396064 hasBestOaLocation W43823960641 @default.
• W4382396064 hasConcept C10138342 @default.
• W4382396064 hasConcept C119857082 @default.
• W4382396064 hasConcept C120527767 @default.
• W4382396064 hasConcept C138885662 @default.
• W4382396064 hasConcept C144133560 @default.
• W4382396064 hasConcept C154945302 @default.
• W4382396064 hasConcept C162118730 @default.
• W4382396064 hasConcept C162324750 @default.
• W4382396064 hasConcept C182306322 @default.
• W4382396064 hasConcept C2777388754 @default.
• W4382396064 hasConcept C2777842544 @default.
• W4382396064 hasConcept C2780102689 @default.
• W4382396064 hasConcept C2984760201 @default.
• W4382396064 hasConcept C41008148 @default.
• W4382396064 hasConcept C41895202 @default.
• W4382396064 hasConcept C45804977 @default.
• W4382396064 hasConcept C504631918 @default.
• W4382396064 hasConcept C58596280 @default.
• W4382396064 hasConcept C69738355 @default.
• W4382396064 hasConcept C73283319 @default.
• W4382396064 hasConcept C80515813 @default.
• W4382396064 hasConcept C98014903 @default.
• W4382396064 hasConceptScore W4382396064C10138342 @default.
• W4382396064 hasConceptScore W4382396064C119857082 @default.
• W4382396064 hasConceptScore W4382396064C120527767 @default.
• W4382396064 hasConceptScore W4382396064C138885662 @default.
• W4382396064 hasConceptScore W4382396064C144133560 @default.
• W4382396064 hasConceptScore W4382396064C154945302 @default.
• W4382396064 hasConceptScore W4382396064C162118730 @default.
• W4382396064 hasConceptScore W4382396064C162324750 @default.
• W4382396064 hasConceptScore W4382396064C182306322 @default.
• W4382396064 hasConceptScore W4382396064C2777388754 @default.
• W4382396064 hasConceptScore W4382396064C2777842544 @default.
• W4382396064 hasConceptScore W4382396064C2780102689 @default.
• W4382396064 hasConceptScore W4382396064C2984760201 @default.
• W4382396064 hasConceptScore W4382396064C41008148 @default.

• next