Aderin, Adeyemi (2022) Cash flow patterns and financial distress prediction. Journal of Accounting and Management, 12 (1):1544. pp. 41-52. ISSN 2284 – 9459 (Print), 2392 – 8778 (Online)

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Abstract

The study investigates the ability of cash flow patterns to accurately predict the incidence of financial distress. A total of four hundred and ninety (490) firm-year observations were sampled consisting of non-financial firms quoted on the Nigerian Stock Exchange between 2011 and 2017. Several models were developed to capture different variants of the cash flow patterns along with the possibility of the life-cycle effect. The developed models were analysed using a combination of the Generalised Least Squares (GLS) and the Generalised Method of Moments (GMM). The results indicate that cash flow patterns have predictive ability in determining the incidence of financial distress both in the current period and in the immediately prior period. This predictive ability, however, does not extend to subsequent prior periods. Also, the life cycle effect significantly affects the pattern of relationship between the cash flow patterns and financial distress prediction. The study was able to correct the problem of assignment of weights to individual cash flow patterns, but recommended the inculcation of the complete life cycle effects capturing individual stages of organisational development in the models.

Item Type:	Article
Uncontrolled Keywords:	Altman Z-score; cash flow patterns; financial distress; life-cycle effect
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HG Finance
Faculty / School / Research Centre / Research Group:	Faculty of Business Greenwich Business School > Political Economy, Governance, Finance and Accountability (PEGFA)
Related URLs:	Publisher
Last Modified:	02 Dec 2024 16:08
URI:	http://gala.gre.ac.uk/id/eprint/47055

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