Proposal for a Decision Support System to Predict Financial Distress
Madalina Popescu
REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, 2015, vol. 16, issue 1, 112-118
Abstract:
In the context of economic instability a decision support system that could provide early warning signals of financial distress to a company a few years before actually turning to insolvency could play an important role in the decision making processes inside a company. Thus, the aim of this paper consists in developing a decision support system for financial distress for the case of the Romanian companies listed on the Bucharest StockExchange. A practical solution for predicting financial distress with one or even two years in advance is presented and the results of the models’ prediction accuracy areencouraging us to believe that these models can actually improve the strategic management and planning departments in a company.
Keywords: SMEs; decision support system; financial distress; prediction. (search for similar items in EconPapers)
JEL-codes: C61 G32 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://rmci.ase.ro/no16vol1/09.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:rom:rmcimn:v:16:y:2015:i:1:p:112-118
Access Statistics for this article
REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT is currently edited by Marian Nastase
More articles in REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT from Faculty of Management, Academy of Economic Studies, Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Marian Nastase ().