Refining understanding of corporate failure through a topological data analysis mapping of Altman’s Z-score model
作者：
Highlights：
• Introduce Topological Data Analysis Ball Mapper for examining creditworthiness.
• Example taken from seminal Altman (1968) Z-Score model and ratios therefrom.
• Failing firms shown to only occupy a subset of the “distress zone” of risky Z-Scores.
• Visualizing data cloud removes the perceived “black box” of data science.
• Practitioners can quickly see how credit seekers place and review credit accordingly.
摘要
•Introduce Topological Data Analysis Ball Mapper for examining creditworthiness.•Example taken from seminal Altman (1968) Z-Score model and ratios therefrom.•Failing firms shown to only occupy a subset of the “distress zone” of risky Z-Scores.•Visualizing data cloud removes the perceived “black box” of data science.•Practitioners can quickly see how credit seekers place and review credit accordingly.
论文关键词：Credit scoring,Topological data analysis,Data visualization,Bankruptcy prediction
论文评审过程：Received 19 December 2019, Revised 16 April 2020, Accepted 20 April 2020, Available online 27 April 2020, Version of Record 6 May 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113475
