Which Characteristics Predict the Survival of Insolvent Firms? An SME Reorganization Prediction Model
2013; Wiley; Volume: 53; Issue: 2 Linguagem: Inglês
10.1111/jsbm.12076
ISSN0047-2778
AutoresMaría‐del‐Mar Camacho‐Miñano, María Jesús Segovia Vargas, David Pascual‐Ezama,
Tópico(s)Corporate Finance and Governance
ResumoJournal of Small Business ManagementVolume 53, Issue 2 p. 340-354 Original Article Which Characteristics Predict the Survival of Insolvent Firms? An SME Reorganization Prediction Model Maria-del-Mar Camacho-Miñano, Corresponding Author Maria-del-Mar Camacho-MiñanoMaria-del-Mar Camacho-Miñano is assistant professor at Department of Financial Economics and Accounting II, Complutense University of Madrid.Address correspondence to: Maria-del-Mar Camacho-Miñano, School of Business Administration and Economics, Department of Financial Economics and Accounting II (Accounting), Campus of Somosaguas, Complutense University of Madrid, Campus of Somosaguas, 28223 Pozuelo-de-Alarcón, Madrid, Spain. E-mail: marcamacho@ccee.ucm.es.Search for more papers by this authorMaria-Jesus Segovia-Vargas, Maria-Jesus Segovia-VargasMaria-Jesus Segovia-Vargas is assistant professor at Department of Financial Economics and Accounting I, Complutense University of Madrid.Search for more papers by this authorDavid Pascual-Ezama, David Pascual-EzamaDavid Pascual-Ezama is assistant professor at Department of Financial Economics and Accounting II, Complutense University of Madrid.Search for more papers by this author Maria-del-Mar Camacho-Miñano, Corresponding Author Maria-del-Mar Camacho-MiñanoMaria-del-Mar Camacho-Miñano is assistant professor at Department of Financial Economics and Accounting II, Complutense University of Madrid.Address correspondence to: Maria-del-Mar Camacho-Miñano, School of Business Administration and Economics, Department of Financial Economics and Accounting II (Accounting), Campus of Somosaguas, Complutense University of Madrid, Campus of Somosaguas, 28223 Pozuelo-de-Alarcón, Madrid, Spain. E-mail: marcamacho@ccee.ucm.es.Search for more papers by this authorMaria-Jesus Segovia-Vargas, Maria-Jesus Segovia-VargasMaria-Jesus Segovia-Vargas is assistant professor at Department of Financial Economics and Accounting I, Complutense University of Madrid.Search for more papers by this authorDavid Pascual-Ezama, David Pascual-EzamaDavid Pascual-Ezama is assistant professor at Department of Financial Economics and Accounting II, Complutense University of Madrid.Search for more papers by this author First published: 25 October 2013 https://doi.org/10.1111/jsbm.12076Citations: 21 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat 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. Citing Literature Volume53, Issue2April 2015Pages 340-354 RelatedInformation
Referência(s)