Corporate Failure

Abstract

A number of authors suggested that the impact of the macroeconomic factors on the incidence of the financial distress, and afterward in case of failure of companies. However, macroeconomic factors rarely, if ever, appear as variables in predictive models that seek to identify distress and failure; modellers generally suggest that the impact of macroeconomic factors has already been taken into account by financial ratio variables. This article presents a systematic study of this domain, by examining the link between the failure of companies and macroeconomic factors for the French companies to identify the most important variables and to estimate their utility in a predictive context. The results of the study suggest that several macroeconomic variables are strictly associated to the failure, and have a predictive value by specifying the relation between the financial distress and the failure.

Keywords: {'name': 'Financial Distress'}, {'name': 'Macroeconomic Variable'}, {'name': 'Partial Least Squares'}

Authors & affiliations

Ben Jabeour Sami
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.2307/2325319

of Finance, 23(4), September, 589-609.

DOI: 10.1016/0378-4266(84)90003-7

and Finance, 8(2), 171-198.

Altman, E.I., Marco, G., & Varetto, F. (1994). Corporate distress diagnosis: comparisons using linear discriminant

and neural networks: the Italian Experience. Journal of Banking and Finance, 18, 505-529.

DOI: 10.1002/9781118267806

Edition, John Wiley & Sons.

DOI: 10.1093/biomet/71.1.1

Models. Biometrika, 71(1), 1-10.

Avishur, A., & Tsoref, Y. (2001). On the Predictability of Kibbutz Financial Distress: A Principal Component

Analysis with Bootstrap Confidence Intervais. Journal of Accounting Auditing & Finance, winter, 16(1), 55-91.

DOI: 10.1111/j.1540-6261.1983.tb02258.x

of Finance, 38, 505-16.

DOI: 10.1016/S0378-4266(98)00062-4

, 1405-1419.

DOI: 10.1016/j.csda.2004.02.005

-46.

DOI: 10.3917/reof.110.0225

comparative France-États-Unis, Revue de L’OFCE, 110, 256-281.

DOI: 10.1016/j.jbusvent.2004.07.003

Journal of Business Venturing, 20,847-868.

Bhattacharjee A., Higson C., Holly S., & Kattuman P. (2002), Macro economic instability and business exit:

determinants of failures and acquisitions of large UK firms, Accounting subject AREA, Working paper, 02-034,

London Business School.

Bhattacharjee A, Higson C, Holly S., & Kattuman P. (2004), Business failure in UK and US quoted firms: impact of

macroeconomic instability and the role of legal institutions, Cambridge Working paper in Economics N° 0420, March

Derquenne, C., & Hallais, C. (2004). Une méthode alternative à l’approche PLS : Comparaison et Application aux

modèles conceptuels marketing. Revue de statistique Appliquée, LII (3), 85-100.

DOI: 10.1093/bioinformatics/bti114

DOI: 10.1093/bioinformatics/bti114

DOI: 10.1007/s10679-005-2988-8

Companies. Review of Finance, 9, 65–96.

Guilhot, B. (2000). Défaillances d'entreprise : soixante-dix ans d'analyse théoriques et empiriques. Revue Française de

Gestion, 130, 52-67.

DOI: 10.1111/j.1468-5957.1991.tb00231.x

(5), 649-673.

DOI: 10.1016/0883-9026(92)90005-C

Liou, D., & Smith, M. (2007). Macroeconomic Variables and Financial Distress. Journal of Accounting-Business and

Management, 14, 17-31.

DOI: 10.3406/ecofi.1991.1746

financière, 19, 205-226.

DOI: 10.2139/ssrn.2050029

th International IFABS Conference, Valencia, Spain

DOI: 10.1016/j.csda.2003.08.001

simulation study», Comput. Stat. Data Anal, 46, 407-425.

DOI: 10.1111/j.1540-6261.1994.tb00086.x

DOI: 10.2307/2490395

spring, 109-131.

DOI: 10.1080/07421222.1999.11518234

prediction. Journal of Management Information System, 16(1), 63-85.

Tenenhaus, M. (1998), La régression PLS : théorie et pratique, Technip, Paris.

Tenenhaus, M. (1999), «L’approche PLS», Revue de Statistique Appliquée, 47(2), 5-40.

DOI: 10.1016/0304-405X(90)90063-6

Economics, 27, pp. 419-444.