The Graph Theoretical Approach to Bankruptcy Prediction

Authors

  • Kwangseek Choe SUNY Plattsburgh
  • Samy Garas SUNY Plattsburgh

Keywords:

Financial Solvency Matrix; Permanent Function

Abstract

Objectives – This paper explores the applicability of the graph theoretical methods to bankruptcy prediction.
Prior Work – Various statistical techniques have been used to predict business failure including univariate analysis, multivariate discrimination analysis, logit model, probit model, and neural networks.
Approach – This paper employs undirected graph and matrix methods based on the Graph Theory.
Results – The empirical findings confirmed the validity of the proposed methods for predicting bankruptcy.
Implications - The proposed method in this paper provides an insight into the development of a new approach to the assessment of financial solvency of a company.
Value – This paper contributes to the literature by introducing the graph theoretical approach to bankruptcy prediction.

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Published

2020-11-04

How to Cite

Choe, K., & Garas, S. (2020). The Graph Theoretical Approach to Bankruptcy Prediction: Array. The Journal of Accounting and Management, 11(1). Retrieved from https://dj.univ-danubius.ro/index.php/JAM/article/view/546

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