An Analysis of Features Predicting Bankruptcy of Newly Formed Japanese Small and Medium-Sized Firms Using Machine Learning Techniques

The study analyses the bankruptcy of newly formed Japanese small and medium-sized entities (SMEs) by comparing specific features with newly formed but survived SMEs. It applies Resource-based Firm Theory and other theories to identify the bankruptcy features and uses logit regression to validate those features. It builds bankruptcy prediction models using machine learning techniques based on those features and evaluates the performance of the models

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Year of publication:	2018
Authors:	Xu, Hong
Publisher:	[2018]: [S.l.] : SSRN
Subject:	Insolvenz \| Insolvency \| KMU \| SME \| Künstliche Intelligenz \| Artificial intelligence \| Japan \| Prognoseverfahren \| Forecasting model
Description of contents:	Abstract [papers.ssrn.com]

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Extent:	1 Online-Ressource
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 30, 2018 erstellt Volltext nicht verfügbar
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012917907