A Decision Support System to Predict Financial Distress. The Case Of Romania

Liviu Tudor (), Madalina Popescu and Marin Andreica ()
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Liviu Tudor: Ph.D. Student at The Bucharest University of Economic Studies
Marin Andreica: The Bucharest University of Economic Studies

Journal for Economic Forecasting, 2015, issue 4, 170-179

Abstract: Financial distress prediction has become a topic of great interest for most decision makers over the last decades, especially because of the valuable insights and effective early warnings of potential bankruptcy yielded by such prediction models. Therefore, discovering a suitable model for predicting financial distress is likely to be of great significance to global investors. Thus, this paper aims to offer a practical solution to predict financial distress in Romania by focusing on developing an integrated decision support system and on analysing the effectiveness of several prediction models based on decision trees, logit and hazard models, as well as neural networks.

Keywords: financial distress; decision support system; decision tree; logit and hazard model; neural networks (search for similar items in EconPapers)
JEL-codes: C40 G32 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (7)

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