Financial Ratios as Predictor of Financial Distress: A Study on Some Select Deposit Money Banks in Nigeria (1991-2014)

Ojeabulu Uyi Michael, C. E. Ezeji, Ozurumba A. Benedict, Kanu Success Ikechi
{"title":"Financial Ratios as Predictor of Financial Distress: A Study on Some Select Deposit Money Banks in Nigeria (1991-2014)","authors":"Ojeabulu Uyi Michael, C. E. Ezeji, Ozurumba A. Benedict, Kanu Success Ikechi","doi":"10.18775/ijmsba.1849-5664-5419.2014.63.1003","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to evaluate the use of financial ratios as a predictor of financial distress in Deposit Money Banks (DMB) in Nigeria. Banks’ deficiency in the period between 1991 and 2011 and a subsequent loss of depositor’s funds first prompted our attention. The instability of the industry felt even today calls for further research to understand the underlying causes of such issues better. Three Nigerian Deposit Money Banks were financially analyzed using data set for the period between 1991 and 2014. The banks were classified as very strong, strong, and weak. For instance, GT Bank was classified as very strong, UBA as strong, and Polaris bank as weak. Data were collected from the banks’ annual financial reports. Other sources were included, such as CBN Annual Reports and NSE Fact Books. Logistic regression analysis was performed on the data set. The model correctly predicted 87.5% of periods in which the banks were expected to experience financial distress and 93.8% of periods in which the banks were supposed to be in good financial state. Out of the five ratios that were used in the study, three turned out to be significant in predicting banks’ financial distress. This research constructed a model of financial ratios to predict difficulty with great success. Thus, stakeholders are advised to go beyond assessing the present status of banks, i.e., their strengths and weaknesses, but to utilize financial ratios in the near future. The study recommends that bank management should focus more on generating more earnings with the assets at their disposal.","PeriodicalId":231867,"journal":{"name":"INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18775/ijmsba.1849-5664-5419.2014.63.1003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of this study is to evaluate the use of financial ratios as a predictor of financial distress in Deposit Money Banks (DMB) in Nigeria. Banks’ deficiency in the period between 1991 and 2011 and a subsequent loss of depositor’s funds first prompted our attention. The instability of the industry felt even today calls for further research to understand the underlying causes of such issues better. Three Nigerian Deposit Money Banks were financially analyzed using data set for the period between 1991 and 2014. The banks were classified as very strong, strong, and weak. For instance, GT Bank was classified as very strong, UBA as strong, and Polaris bank as weak. Data were collected from the banks’ annual financial reports. Other sources were included, such as CBN Annual Reports and NSE Fact Books. Logistic regression analysis was performed on the data set. The model correctly predicted 87.5% of periods in which the banks were expected to experience financial distress and 93.8% of periods in which the banks were supposed to be in good financial state. Out of the five ratios that were used in the study, three turned out to be significant in predicting banks’ financial distress. This research constructed a model of financial ratios to predict difficulty with great success. Thus, stakeholders are advised to go beyond assessing the present status of banks, i.e., their strengths and weaknesses, but to utilize financial ratios in the near future. The study recommends that bank management should focus more on generating more earnings with the assets at their disposal.
财务比率作为财务危机的预测指标:对尼日利亚部分存款货币银行的研究(1991-2014)
本研究的目的是评估使用财务比率作为尼日利亚存款货币银行(DMB)财务困境的预测因子。银行在1991年至2011年期间的不足以及随后的存款人资金损失首先引起了我们的注意。即使在今天,该行业的不稳定性也要求进一步研究,以更好地了解这些问题的潜在原因。使用1991年至2014年期间的数据集,对三家尼日利亚存款银行进行了财务分析。这些银行被分为非常强、强和弱。例如,GT银行被评为“非常强劲”,UBA银行被评为“强劲”,北极星银行被评为“疲弱”。数据是从银行的年度财务报告中收集的。其他来源包括,如CBN年度报告和NSE事实书。对数据集进行Logistic回归分析。该模型正确预测了87.5%的银行预计将经历财务困境的时期,以及93.8%的银行预计财务状况良好的时期。在研究中使用的5个比率中,有3个在预测银行的财务困境方面被证明是重要的。本研究构建了一个财务比率模型来预测困难,并取得了巨大的成功。因此,建议利益相关者超越评估银行的现状,即其优势和劣势,而是在不久的将来利用财务比率。该研究建议,银行管理层应更多地关注如何利用手中的资产创造更多收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信