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A model to predict corporate failure in the developing economies: A case of listed companies on the Ghana Stock Exchange

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dc.contributor.author Oduro, R
dc.contributor.author Asiedu, M.A
dc.date.accessioned 2023-04-27T15:03:57Z
dc.date.available 2023-04-27T15:03:57Z
dc.date.issued 2017
dc.identifier.issn ISSN: 1792-6580 (print version)
dc.identifier.issn 1792-6599 (online)
dc.identifier.uri http://41.74.91.244:8080/handle/123456789/1981
dc.description Article en_US
dc.description.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: G3 Keywords: Corporate failure, corporate governance, logit model, log-likelihood, Ghana Stock Exchange en_US
dc.language.iso en en_US
dc.publisher Published in Journal of Applied Finance & Banking en_US
dc.relation.ispartofseries ;vol. 7, no. 4
dc.subject corporate failure en_US
dc.subject corporate governance en_US
dc.subject logit model en_US
dc.subject log-likelihood en_US
dc.subject Ghana Stock Exchange en_US
dc.title A model to predict corporate failure in the developing economies: A case of listed companies on the Ghana Stock Exchange en_US
dc.type Article en_US


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