The Graph Theoretical Approach to Bankruptcy Prediction
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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