Actuality of Bankruptcy Prediction Models used in Decision Support System

Mihaela Crăciun, Dominic Bucerzan, Crina Raţiu, Adriana Manolescu

Abstract


In the current conditions, the global economy is in a crisis situation. In terms of crisis management this article supports the Romanian companies. This article analyses some classical bankruptcy prediction models used in Decision Support Systems in order to validate or invalidate them in the actual Romanian economical conditions. It is essential to take the right decision at the right time, to help the company overcome an eventual moment of crisis, such as insolvency or even bankruptcy. Our study is based on the financial ratio of 60 Romanian companies, between 2005 and 2009. The firms are classified in two categories: bankrupted companies (B) and non-bankrupted companies (N-B).


Keywords


bankruptcy prediction models - BPM, multiple discriminant analysis - MDA, decision support system - DSS, crisis management

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References


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DOI: https://doi.org/10.15837/ijccc.2013.3.464



Copyright (c) 2017 Mihaela Crăciun, Dominic Bucerzan, Crina Raţiu, Adriana Manolescu

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