Analysis of a Bankruptcy Prediction Model for Companies in Chile

Benito Umaña-Hermosilla, Hanns de la Fuente-Mella, Claudio Elórtegui-Gómez, Jorge Ferrada-Rodríguez, Mauricio Arce-Rojas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The objective of this research is to examine bankruptcy prediction models and their application in companies in Chile. For this, bankruptcy regulations in Chile and internationally, specifically the United States and Colombia, are analyzed. In turn, the procedures that companies can use today are examined. In addition, the existing prediction models are compared. The model chosen for the development of the research is the Altman Z-score, with which it is sought to confirm its validity, applying it to Chilean companies. For this research, companies were classified into two groups: healthy companies and companies with financial problems. According to the results, the Altman Z-score model on companies, five companies could be found which may need to take advantage of bankruptcy regulations.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
EditorsTareq Z. Ahram, Waldemar Karwowski, Jay Kalra
PublisherSpringer Science and Business Media Deutschland GmbH
Pages83-90
Number of pages8
ISBN (Print)9783030806231
DOIs
StatePublished - 2021
Externally publishedYes
EventAHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume271
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
CityVirtual, Online
Period25/07/2129/07/21

Keywords

  • Bankruptcy
  • Econometric modeling
  • Insolvency
  • Liquidation and reorganization

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