The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation
作者：
Highlights：
• MCDA application in corporate credit risk and distress prediction is extended.
• PROMETHEE II is proposed as a multicriteria evaluation framework for DPMs.
• A comparison between statistical and machine learning classifiers is provided.
• The effect of corporate governance indicators in developing DPMs are evaluated.
• The superiority of machine learning models in predicting distress is demonstrated.
摘要
•MCDA application in corporate credit risk and distress prediction is extended.•PROMETHEE II is proposed as a multicriteria evaluation framework for DPMs.•A comparison between statistical and machine learning classifiers is provided.•The effect of corporate governance indicators in developing DPMs are evaluated.•The superiority of machine learning models in predicting distress is demonstrated.
论文关键词：Corporate distress prediction models,Multi-criteria decision aid,PROMETHEE II,Corporate governance indicators,Machine learning
论文评审过程：Received 22 May 2019, Revised 1 March 2020, Accepted 4 April 2020, Available online 22 May 2020, Version of Record 11 June 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113438
