FINANCIAL DISTRESS PREDICTION IN NIGERIAN OIL AND GAS INDUSTRY: A MULTIVARIATE APPROACH

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dc.contributor.authorOlushola J. Omolekan
dc.contributor.authorEzekiel O. Ajayi
dc.contributor.authorOyero L. Kazeem-Bayo
dc.contributor.authorHaorayau B. Babalola
dc.date.accessioned2024-05-02T10:54:56Z
dc.date.available2024-05-02T10:54:56Z
dc.date.issued2021-06
dc.description.abstractColossal cost implications of collapsed business are enormous, detrimental, anti-economic growth and development but preventable if the early warning distress signals can be predicted. Thus, this study predicts financial distress in Nigeria oil and gas firms using multivariate approach. Longitudinal design was adopted for the study. Data were extracted from Nigeria Stock Exchange (NSE) factbooks from year 2000 to 2018. Information obtained were arranged and collated in ratio analysis. Multiple discriminant analysis (MDA) was used to predict the early warning signals and post-prediction differences were tested using t-test. The prediction results revealed the failure early warning signals in the study area to be earning before interest and tax (EBIT), working capital (WCA), and TAR with strong prediction accuracy. The study concluded that Nigerian oil and gas companies are susceptible to failure given the early warning signals identified. It is recommended that the sampled firms should take into cognizance the identified early warning signals to prevent financial distress and take preventive measures towards rejuvenation.
dc.identifier.citation OMOLEKAN .O. J., AJAYI, E.O., KAZEEM-BAYO, O. L. & BABALOLA, H. B. (2022) Financial Distress Prediction in Nigeria Oil and Gas Industry: A Multivariate Approach. The Journal of Economic Research & Business Administration. 1(139). 151 – 163. Published by Al-Farabi Kazakh National University
dc.identifier.issn2805-3931
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/13193
dc.language.isoen
dc.publisherDepartment of Finance, Al-hikman University, Ilorin, Nigeria
dc.subjectEarly warning signals
dc.subjectFinancial distress
dc.subjectMDA
dc.subjectOil and gas
dc.subjectFirms
dc.subjectRejuvenation
dc.titleFINANCIAL DISTRESS PREDICTION IN NIGERIAN OIL AND GAS INDUSTRY: A MULTIVARIATE APPROACH
dc.typeArticle

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