- -

Risk Scoring Models for Trade Credit in Small and Medium Enterprises

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Risk Scoring Models for Trade Credit in Small and Medium Enterprises

Mostrar el registro completo del ítem

Terrádez Gurrea, M.; Kizys, R.; Juan, AA.; Debón Aucejo, AM.; Sawik, B. (2015). Risk Scoring Models for Trade Credit in Small and Medium Enterprises. En Theory and Practice of Risk Assessment. Springer International Publishing. 349-360. https://doi.org/10.1007/978-3-319-18029-8_26

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63870

Ficheros en el ítem

Thumbnail
Nombre: TerradezEtAl_Risk ...
Tamaño: 233.4Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir/Preview
[Cerrado]
Nombre: Risk scoring.pdf
Tamaño: 316.9Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: Risk Scoring Models for Trade Credit in Small and Medium Enterprises
Autor: Terrádez Gurrea, Manuel Kizys, Renatas Juan, Angel A. Debón Aucejo, Ana María Sawik, Bartosz
Editor: Kitsos, Christos P.
Entidad UPV: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Fecha difusión:
Resumen:
Trade credit refers to providing goods and services on a deferred payment basis. Commercial credit management is a matter of great importance for most small and medium enterprises (SMEs), since it represents a significant ...[+]
Palabras clave: Trade credit , Scoring models , Small and medium enterprises , Multivariate regression , Decision trees
Derechos de uso: Reserva de todos los derechos
Fuente:
Theory and Practice of Risk Assessment. (issn: 2194-1009 )
DOI: 10.1007/978-3-319-18029-8_26
Editorial:
Springer International Publishing
Versión del editor: http://dx.doi.org/10.1007/978-3-319-18029-8_26
Serie: Springer Proceedings in Mathematics & Statistics;136
Código del Proyecto:
info:eu-repo/grantAgreement/NCN//6459%2FB%2FT02%2F2011%2F40/
info:eu-repo/grantAgreement/AGH//11.11.200.274/
Descripción: © Springer International Publishing Switzerland 2015 C.P. Kitsos et al. (eds.), Theory and Practice of Risk Assessment, Springer Proceedings in Mathematics & Statistics 136, DOI 10.1007/978-3-319-18029-8_26
Agradecimientos:
This work has been partially supported by the NCN grant (6459/B/T02/2011/40) and AGH grant (11.11.200.274)
Tipo: Capítulo de libro

References

Altman, E.I.: Financial ratios, discriminant analysis and prediction of corporate bank ruptcy. J. Financ. 23, 589–609 (1968)

Altman, E.I., Sabato, G.: Modeling credit risk for SMEs: evidence from the US market. ABACUS 43, 332–357 (2007)

Altman, E.I., Sabato, G., Wilson, N.: The value of non-financial information in SME risk management. J. Credit Risk 6, 1–33 (2010) [+]
Altman, E.I.: Financial ratios, discriminant analysis and prediction of corporate bank ruptcy. J. Financ. 23, 589–609 (1968)

Altman, E.I., Sabato, G.: Modeling credit risk for SMEs: evidence from the US market. ABACUS 43, 332–357 (2007)

Altman, E.I., Sabato, G., Wilson, N.: The value of non-financial information in SME risk management. J. Credit Risk 6, 1–33 (2010)

Aziz, A., Emanuel, D.C., Lawson, G.H.: Bankruptcy prediction: an investigation of cash flow based models. J. Manag. Stud. 25, 419–437 (1988)

Becchetti, L., Sierra, J.: Bankruptcy risk and productive efficiency in manufacturing firms. J. Bank. Financ. 27, 2099–2120 (2002)

Berry, M.J.A., Linoff, G.: Data Mining Techniques. Wiley, New York (1997)

Boissay, F., Gropp, R.: Payment defaults and interfirm liquidity provision. Rev. Financ. 1–42, (2013), doi: 10.1093/rof/rfs045

Cheng, N., Pike, R.: The trade credit decision: evidence of UK firms. Manag. Decis. Econ. 24, 419–438 (2003)

Correa, A., Acosta, M., Gonzalez, A.L.: La insolvencia empresarial: un anlisis emprico para la pyme. Revista de Contabilidad 6, 47–79 (2003)

Cunat, V.: Trade credit: suppliers as debt collectors and insurance providers. Rev. Financ. Stud. 20, 491–527 (2007)

Deakin, E.B.: A discriminant analysis of predictors of business failure. J. Account. Res. 10, 167–179 (1972)

Fantazzini, D., Figini, S.: Random survival forest models for SME credit risk measurement. Methodol. Comput. Appl. Probab. 11, 29–45 (2009)

Fawcett, T.: An introduction to ROC analysis. Pattern Recognit. Lett. 27, 861–874 (2006)

Grunert, J., Norden, L., Weber, M.: The role of non-financial factors in internal credit ratings. J. Bank. Financ. 29, 509–531 (2004)

Hastie, T, Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, Berlin (2001)

Hernandez, J., Ramirez, M.J., Ferri, C.: Introducción a la minería de datos. Pearson Prentice Hall (2004)

Lizarraga, F.: Modelos de prevision del fracaso empresarial: funciona entre nuestras empresas el modelo de Altman de 1968? Revista de Contabilidad 1, 137–164 (1998)

Metz, C.E., Kronman, H.B.: Statistical significance tests for binormal ROC curves. J. Math. Psychol. 22, 218–243 (1980)

Micha, B.: Analysis of business failures in France. J. Bank. Financ. 8, 281–291 (1984)

Ohlson, J.: Financial ratios and the probabilistic prediction of bankruptcy. J. Account. Res. 18, 109–131 (1980)

Poutziouris, P., Michaelas, N., Soufani, K.: Financial management of Trade Credits in SMEs. Working paper. Concordia University. http://www.efmaefm.org/efma2005/papers/241-soufani_paper.pdf

Pozuelo, J., Labatut, G., Veres, E.: Análisis descriptivo de los procesos de fracaso empresarial en microempresas mediante técnicas multivariantes. Revista Europea de Direccin y Economa de la Empresa, 19, 47–66 (2010)

Rockafellar, R.T., Uryasev, S.: Optimization of conditional value-at-risk. J. Risk 2(3), 21–41 (2000)

Rockafellar, R.T., Uryasev, S.: Conditional value-at-risk for general loss distributions. J. Bank. Financ. 26, 1443–1471 (2002)

Sarykalin S., Serraino G., Uryasev S.: Value-at-risk vs. conditional value-at-risk in risk management and optimization. In: Chen, Z-L., Raghavan, S., Gray, P., (Eds.) Tutorials in Operations Research, INFORMS Annual Meeting, Washington DC, USA, October 12–15 (2008)

Sawik, B.: Downside risk approach for multi-objective portfolio optimization. In: Klatte, D., Lthi, H.-J., Schmedders, K. (eds.) Operations Research Proceedings 2011, Operations Research Proceedings, pp. 191–196. Springer, Heidelberg (2012)

Sobehart, J.R., Keenan, S.C.: A practical review and test of default prediction models. RMA J. 84, 54–59 (2001)

Swets, J.A.: Signal Detection Theory and ROC Analysis in Psychology and Diagnostics. Collected Papers Lawrence Erlbaum Associates (1996)

Wilner, B.: The exploitation of relationships in financial distress: the case of trade credit. J. Financ. 55, 153–178 (2000)

Zweig, M.H., Campbell, G.: Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39, 561–577 (1993)

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem