Financial Distress and Bankruptcy Prediction in Conditions of Slovak Republic
Autor: | Filip Rebetak, Viera Bartosova |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Value (ethics)
0209 industrial biotechnology 050208 finance business.industry bankruptcy models 05 social sciences Accounting Context (language use) 02 engineering and technology language.human_language financial distress lcsh:Social Sciences lcsh:H Globalization 020901 industrial engineering & automation Bankruptcy 0502 economics and business Financial analysis Bankruptcy prediction language Position (finance) Slovak Business bankruptcy prediction |
Zdroj: | SHS Web of Conferences, Vol 92, p 08017 (2021) |
ISSN: | 2261-2424 |
Popis: | Research background: Prediction of bankruptcy has an important place in financial analysis of an organization in the globalized economy. Ever since the first publication of a paper on bankruptcy prediction in 1932, the field of bankruptcy prediction was attracting researchers and scholars internationally. Over the years, there have been a great many models conceived in many different countries, such as Altman’s Z score or Ohlson’s model for use for managers and investors to assess the financial position of a company. Globalization in last few decades has made it even more important for all stakeholders involved to know the financial shape of the company and predict the possibility of bankruptcy. Purpose of the article: We aim in this article to examine the financial distress and bankruptcy prediction models used or developed for Slovakia to provide an overview of possibilities adjusted to specific conditions of the Slovak Republic in context of globalization. We will also look at the possibility of use of these prediction models for assessing financial status of non-profit organizations in the Slovak Republic. Methods: We will use analysis and synthesis of current research and theoretical background to compare existing models and their use. Findings & Value added: We hope to contribute with this paper to the theoretical knowledge in this field by summarizing and comparing existing models used. |
Databáze: | OpenAIRE |
Externí odkaz: |