Una revisión sistemática de la literatura en torno a la quiebra empresarial para el período 2012- 2017

Armando L. Támara, Gladis C. Villegas, Javier De Andrés

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

Resumen

This paper develops a general framework establishing the minimum guidelines required for the study of corporate bankruptcy, framed in five elements such as the definition, sample, cost of error, statistical techniques and variables of prediction models. We analyze 143 articles published in ISI Web of Science and SCOPUS for the period 2012-2017, finding that the most used techniques are neural networks, support vector models and decision trees, while discriminant and logistic models are used as a benchmark.

Título traducido de la contribuciónA systematic review of the literature on corporate bankruptcy for the period 2012-2017
Idioma originalEspañol
PublicaciónEspacios
Volumen40
N.º4
EstadoPublicada - 1 ene 2019

Huella dactilar

Decision trees
Logistics
Neural networks
Bankruptcy
Systematic review
Costs
World Wide Web
Benchmark
Decision tree
Logistic model
Discriminant
Prediction model

Palabras clave

  • Business bankruptcy
  • Financial indicators
  • Indicadores financieros
  • Modelos de predicción
  • Prediction models
  • Quiebra empresarial

Citar esto

@article{482520cdabd74da7ad934133e77784ac,
title = "Una revisi{\'o}n sistem{\'a}tica de la literatura en torno a la quiebra empresarial para el per{\'i}odo 2012- 2017",
abstract = "This paper develops a general framework establishing the minimum guidelines required for the study of corporate bankruptcy, framed in five elements such as the definition, sample, cost of error, statistical techniques and variables of prediction models. We analyze 143 articles published in ISI Web of Science and SCOPUS for the period 2012-2017, finding that the most used techniques are neural networks, support vector models and decision trees, while discriminant and logistic models are used as a benchmark.",
keywords = "Business bankruptcy, Financial indicators, Indicadores financieros, Modelos de predicci{\'o}n, Prediction models, Quiebra empresarial",
author = "T{\'a}mara, {Armando L.} and Villegas, {Gladis C.} and {De Andr{\'e}s}, Javier",
year = "2019",
month = "1",
day = "1",
language = "Espa{\~n}ol",
volume = "40",
journal = "Espacios",
issn = "0798-1015",
number = "4",

}

Una revisión sistemática de la literatura en torno a la quiebra empresarial para el período 2012- 2017. / Támara, Armando L.; Villegas, Gladis C.; De Andrés, Javier.

En: Espacios, Vol. 40, N.º 4, 01.01.2019.

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

TY - JOUR

T1 - Una revisión sistemática de la literatura en torno a la quiebra empresarial para el período 2012- 2017

AU - Támara, Armando L.

AU - Villegas, Gladis C.

AU - De Andrés, Javier

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper develops a general framework establishing the minimum guidelines required for the study of corporate bankruptcy, framed in five elements such as the definition, sample, cost of error, statistical techniques and variables of prediction models. We analyze 143 articles published in ISI Web of Science and SCOPUS for the period 2012-2017, finding that the most used techniques are neural networks, support vector models and decision trees, while discriminant and logistic models are used as a benchmark.

AB - This paper develops a general framework establishing the minimum guidelines required for the study of corporate bankruptcy, framed in five elements such as the definition, sample, cost of error, statistical techniques and variables of prediction models. We analyze 143 articles published in ISI Web of Science and SCOPUS for the period 2012-2017, finding that the most used techniques are neural networks, support vector models and decision trees, while discriminant and logistic models are used as a benchmark.

KW - Business bankruptcy

KW - Financial indicators

KW - Indicadores financieros

KW - Modelos de predicción

KW - Prediction models

KW - Quiebra empresarial

UR - http://www.scopus.com/inward/record.url?scp=85065618746&partnerID=8YFLogxK

M3 - Artículo

VL - 40

JO - Espacios

JF - Espacios

SN - 0798-1015

IS - 4

ER -