A DECISION SUPPORT SYSTEM TO PREDICT FINANCIAL DISTRESS. THE CASE OF ROMANIA

被引：0
|
作者：
Tudor, Liviu [1 ]
Popescu, Madalina Ecaterina [1 ,2 ]
Andreica, Marin [1 ]
机构：
[1] Bucharest Univ Econ Studies, Bucharest, Romania
[2] Natl Sci Res Inst Labour & Social Protect, Bucharest, Romania
来源：
ROMANIAN JOURNAL OF ECONOMIC FORECASTING | 2015年 / 18卷 / 04期
关键词：
financial distress; decision support system; decision tree; logit and hazard model; neural networks; DISCRIMINANT-ANALYSIS; NEURAL-NETWORKS; BANKRUPTCY; RATIOS; MODEL; FAILURE;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：170 / 179
页数：10
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