A Model to Predict Corporate Failure in the Developing Economies: A Case of Listed Companies on the Ghana Stock Exchange
Richard Oduro () and
Michael Amoh Aseidu
Authors registered in the RePEc Author Service: Michael Amoh Asiedu
Journal of Applied Finance & Banking, 2017, vol. 7, issue 4, 5
Abstract:
The study aimed at developing a model that predict the probability of failure of companies operating in the developing economies using financial ratios and non-financial ratio. The logit model was the main statistical tool applied. A matched sample design was used. Three models were developed and compared; a model consisting of financial ratios only (Model 1), non-financial ratios only (Model 2) and both financial and non-financial ratios (Model 3). From the study, comparatively Model 3 is more efficient in predicting the corporate failure status in one year from now. Prediction of failure status of a corporate entity therefore should consider both financial and non-financial variables.JEL classification numbers: G3Keywords: Corporate failure, corporate governance, logit model, log-likelihood, Ghana Stock Exchange.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.scienpress.com/Upload/JAFB%2fVol%207_4_5.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spt:apfiba:v:7:y:2017:i:4:f:7_4_5
Access Statistics for this article
More articles in Journal of Applied Finance & Banking from SCIENPRESS Ltd
Bibliographic data for series maintained by Eleftherios Spyromitros-Xioufis ().