DIAGNOSIS OF BANKRUPTCY RISK IN THE FURNITURE INDUSTRY USING THE CANON-HOLDER AND ALTMAN MODELS
Radu Mărginean () and
Delia Corina Mihalțan
Additional contact information
Delia Corina Mihalțan: „Valahia” University of Târgoviște
SEA - Practical Application of Science, 2015, issue 8, 83-91
Abstract:
The financial and economic crisis that started in 2008 caused negative effects felt by the entire European economy, affecting more or less all of the world's economies. This paper aims to study the diagnosis of bankruptcy risk using the Canon-Holder and Altman methods, from a theoretical point of view and with practical examples on a company in the furniture industry in Romania. In a context of economic uncertainty, the relevance of such an analysis designed to quantify the risk of bankruptcy for companies is the default. The financial data used is real and descriptively analyzed, we analyzed a period of eight years, between 2006-2013. As a method of analysis complementary to the financial analysis of the background of companies, the diagnosis of bankruptcy risk using the score method, using the specific models known in the specialty literature, brings relevant information concerning the problem of risk assessment. We concluded in the case study the opportunity of such an analysis for the furniture industry through the results obtained in the case studies, the method is a useful tool, especially for the practitioners in the sector.
Keywords: The Alman Pattern; The Conan-Holder Pattern; Performance; Bankruptcy risk; The furniture industry (search for similar items in EconPapers)
JEL-codes: M41 (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_8_12.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2015:i:8:p:83-91
Access Statistics for this article
SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence
More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().