Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables

Hernandez Tinoco, M and Wilson, N orcid.org/0000-0001-5250-9894 (2013) Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. International Review of Financial Analysis, 30. pp. 394-419. ISSN 1057-5219

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Bankruptcy; Listed companies; Financial distress; Logit regression; Neural networks
Dates:
  • Published: December 2013
  • Published (online): 26 February 2013
  • Accepted: 15 February 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Accounting & Finance Division (LUBS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Jul 2016 14:15
Last Modified: 03 Nov 2016 06:30
Published Version: http://doi.org/10.1016/j.irfa.2013.02.013
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.irfa.2013.02.013
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics