The University of Southampton
University of Southampton Institutional Repository

Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling

Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling
Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling
In this paper, we examine corporate insolvency in the Gulf Cooperation Council (GCC) region between 2004 and 2011. Data comprises 28 financial ratio variables from 112 firms. We use Logit regression with best-subset selection criteria to investigate the predictive value of the ratios in the GCC context, particularly cash flow-based ratios. We also examine the main dimensions of the ratios, and the weights firms attach to them, using 3-way Multidimensional Scaling (MDS). We find that a parsimonious Logit model with the profitability ratio EBITTL, the leverage ratio TLTA and the cash flow ratios CFFOTA and CFFOCL can predict insolvency, ex-ante, with 84.8%, 95.6% and 73.9% overall, type I and II accuracy, respectively. From MDS, we uncover four financial-ratio dimensions: (i) ‘Non-strategic sales activities', (ii) 'Profitability and financial stability balance’, (iii) ‘Sales activities against capital conversion’; and (iv) ‘Market value against cash generation’. Insolvent firms appear very specific and attach most salience to the ‘Non-strategic sales activities’ dimension, unlike solvent firms which attach more salience to the other three dimensions. Therefore, the results imply that, to reduce susceptibility to insolvency, managers should focus less on non-strategic sales activities.
0924-865X
483-518
Khoja, Layla
fd10edc5-f537-41ac-a9f1-40ccb2e1b425
Chipulu, Maxwell
12545803-0d1f-4a37-b2d2-f0d21165205e
Jayasekera, Ranadeva
1788723e-6a7e-4302-9358-26acd64ea204
Khoja, Layla
fd10edc5-f537-41ac-a9f1-40ccb2e1b425
Chipulu, Maxwell
12545803-0d1f-4a37-b2d2-f0d21165205e
Jayasekera, Ranadeva
1788723e-6a7e-4302-9358-26acd64ea204

Khoja, Layla, Chipulu, Maxwell and Jayasekera, Ranadeva (2016) Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling. Review of Quantitative Finance and Accounting, 46 (3), 483-518. (doi:10.1007/s11156-014-0476-y).

Record type: Article

Abstract

In this paper, we examine corporate insolvency in the Gulf Cooperation Council (GCC) region between 2004 and 2011. Data comprises 28 financial ratio variables from 112 firms. We use Logit regression with best-subset selection criteria to investigate the predictive value of the ratios in the GCC context, particularly cash flow-based ratios. We also examine the main dimensions of the ratios, and the weights firms attach to them, using 3-way Multidimensional Scaling (MDS). We find that a parsimonious Logit model with the profitability ratio EBITTL, the leverage ratio TLTA and the cash flow ratios CFFOTA and CFFOCL can predict insolvency, ex-ante, with 84.8%, 95.6% and 73.9% overall, type I and II accuracy, respectively. From MDS, we uncover four financial-ratio dimensions: (i) ‘Non-strategic sales activities', (ii) 'Profitability and financial stability balance’, (iii) ‘Sales activities against capital conversion’; and (iv) ‘Market value against cash generation’. Insolvent firms appear very specific and attach most salience to the ‘Non-strategic sales activities’ dimension, unlike solvent firms which attach more salience to the other three dimensions. Therefore, the results imply that, to reduce susceptibility to insolvency, managers should focus less on non-strategic sales activities.

Text
Khoja et al 2014 Corporate_Insolvency Accepted Manuscript.pdf - Accepted Manuscript
Download (566kB)

More information

Accepted/In Press date: August 2014
e-pub ahead of print date: 27 August 2014
Published date: April 2016
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 368347
URI: http://eprints.soton.ac.uk/id/eprint/368347
ISSN: 0924-865X
PURE UUID: 6968ab8d-f8bd-4b50-a2d0-b55d66f9b9de
ORCID for Maxwell Chipulu: ORCID iD orcid.org/0000-0002-0139-6188

Catalogue record

Date deposited: 28 Aug 2014 10:30
Last modified: 15 Mar 2024 03:12

Export record

Altmetrics

Contributors

Author: Layla Khoja
Author: Maxwell Chipulu ORCID iD
Author: Ranadeva Jayasekera

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×