Which characteristics predict the survival of insolvent firms? An SME reorganization prediction model

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Camacho Miñano, María del Mar and Segovia Vargas, María Jesús and Pascual Ezama, David (2015) Which characteristics predict the survival of insolvent firms? An SME reorganization prediction model. Journal of Small Business Management, 53 (2). pp. 340-354. ISSN 1540-627X

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Official URL: https://doi.org/10.1111/jsbm.12076



Abstract

The negative impact of insolvency, especially in small and medium enterprises, informs the objective of this paper: to study the characteristics of bankrupt firms to achieve a preventive diagnosis for reorganization by means of artificial intelligence (AI) methodologies such as rough set and PART methods. The AI models obtained show not only the key variables to predict insolvency, but also their relations and the critical values. Using only five firm characteristics (sector, size, number of shareholdings, return on assets, and cash ratio), our model could reduce delays and costs, since it is able to predict which firms will undergo reorganization or liquidation before the legal procedure.


Item Type:Article
Uncontrolled Keywords:Insolvent firms; Small and medium enterprises; Artificial intelligence; Reorganization; Liquidation
Subjects:Sciences > Computer science > Artificial intelligence
Social sciences > Economics > Depressions
Social sciences > Economics > Business enterprises
ID Code:61923
Deposited On:28 Aug 2020 09:29
Last Modified:28 Aug 2020 09:29

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