Models for Default Risk Analysis: Focus on Artificial Neural Networks, Model Comparisons, Hybrid Frameworks
作者： Greta Falavigna
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摘要: During the last three decades various models have been proposed by literature to predict risk of bankruptcy and firm insolvency. In this work there is a survey on methodologies used author for analysis default risk, taking into account several approaches suggested literature. The focus analyse Artificial Neural Networks as tool study problem verify ability classification these models. Finally, an variables introduced in Network some considerations about these.
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