{"title":"Liquidity ratios and corporate failures","authors":"Ken Li","doi":"10.1111/acfi.13174","DOIUrl":null,"url":null,"abstract":"Abstract One of the most widespread claims in financial statement analysis is that liquidity ratios are useful for predicting failures. However, academic research has found surprisingly little empirical support for this claim. Using logistic regression splines, a non‐parametric method, this paper finds that the relation between the current ratio and failures differs significantly depending on the level of the current ratio. At low, but not high levels, the current ratio is significantly negatively related to failure. Incorporating such context provides statistically and economically significant predictive power about failures. These findings help resolve the discrepancy between practitioners and the academic literature.","PeriodicalId":47973,"journal":{"name":"Accounting and Finance","volume":"65 1","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounting and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/acfi.13174","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract One of the most widespread claims in financial statement analysis is that liquidity ratios are useful for predicting failures. However, academic research has found surprisingly little empirical support for this claim. Using logistic regression splines, a non‐parametric method, this paper finds that the relation between the current ratio and failures differs significantly depending on the level of the current ratio. At low, but not high levels, the current ratio is significantly negatively related to failure. Incorporating such context provides statistically and economically significant predictive power about failures. These findings help resolve the discrepancy between practitioners and the academic literature.
期刊介绍：
Accounting & Finance enjoys an excellent reputation as an academic journal that publishes articles addressing significant research questions from a broad range of perspectives. The journal: • publishes significant contributions to the accounting, finance, business information systems and related disciplines • develops, tests, or advances accounting, finance and information systems theory, research and practice • publishes theoretical, empirical and experimental papers that significantly contribute to the disciplines of accounting and finance • publishes articles using a wide range of research methods including statistical analysis, analytical work, case studies, field research and historical analysis • applies economic, organizational and other theories to accounting and finance phenomena and publishes occasional special issues on themes such as on research methods in management accounting. Accounting & Finance is essential reading for academics, graduate students and all those interested in research in accounting and finance. The journal is also widely read by practitioners in accounting, corporate finance, investments, and merchant and investment banking.
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