{"title":"预测财务困境:o -分模型对巴基斯坦企业的适用性","authors":"H. Waqas, Rohani Md-Rus","doi":"10.15208/BEH.2018.28","DOIUrl":null,"url":null,"abstract":"Predicting financial distress have significant importance in corporate finance as it serves as an effective early warning system for the related stakeholders. The study applies the most admired financial distress prediction O-score model and compares its predictive accuracy with estimated logit model. The study estimates logit model by including the profitability ratios, liquidity ratios, leverage ratios, and cash flow ratios. This study filled the gap by using the cash flow ratios to predict financial distress for Pakistani listed firms. The sample for the estimation model consists of 290 firms with 45 distressed and 245 healthy firms for the period 2006-2016 and covers all sectors of Pakistan Stock Exchange. The study provides important insights on the role of different financial ratio in predicting financial distress and shows that estimated logit model produces higher accuracy rate in predicting financial distress.","PeriodicalId":43750,"journal":{"name":"Business and Economic Horizons","volume":"14 1","pages":"389-401"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Predicting financial distress: Applicability of O-score model for Pakistani firms\",\"authors\":\"H. Waqas, Rohani Md-Rus\",\"doi\":\"10.15208/BEH.2018.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predicting financial distress have significant importance in corporate finance as it serves as an effective early warning system for the related stakeholders. The study applies the most admired financial distress prediction O-score model and compares its predictive accuracy with estimated logit model. The study estimates logit model by including the profitability ratios, liquidity ratios, leverage ratios, and cash flow ratios. This study filled the gap by using the cash flow ratios to predict financial distress for Pakistani listed firms. The sample for the estimation model consists of 290 firms with 45 distressed and 245 healthy firms for the period 2006-2016 and covers all sectors of Pakistan Stock Exchange. The study provides important insights on the role of different financial ratio in predicting financial distress and shows that estimated logit model produces higher accuracy rate in predicting financial distress.\",\"PeriodicalId\":43750,\"journal\":{\"name\":\"Business and Economic Horizons\",\"volume\":\"14 1\",\"pages\":\"389-401\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business and Economic Horizons\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15208/BEH.2018.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business and Economic Horizons","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15208/BEH.2018.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting financial distress: Applicability of O-score model for Pakistani firms
Predicting financial distress have significant importance in corporate finance as it serves as an effective early warning system for the related stakeholders. The study applies the most admired financial distress prediction O-score model and compares its predictive accuracy with estimated logit model. The study estimates logit model by including the profitability ratios, liquidity ratios, leverage ratios, and cash flow ratios. This study filled the gap by using the cash flow ratios to predict financial distress for Pakistani listed firms. The sample for the estimation model consists of 290 firms with 45 distressed and 245 healthy firms for the period 2006-2016 and covers all sectors of Pakistan Stock Exchange. The study provides important insights on the role of different financial ratio in predicting financial distress and shows that estimated logit model produces higher accuracy rate in predicting financial distress.
期刊介绍:
The Business and Economic Horizons (BEH) is an international peer-reviewed journal that publishes high quality theoretical, empirical, and review papers covering the broad spectrum of research in areas of economics, business, management, and finance. The journal aim is to bridge the gap between the theory and the observed data in these constantly developing domains. BEH Editorial Board welcomes the high-quality original research articles and review papers that verify the well-grounded and the emerging theories by employing the econometric, statistical methods or other relevant empirical methods in theoretical and applied economic analysis. BEH does not discriminate articles utilizing the non-mainstream approaches such as experimental research, institutional analysis, other variations of heterodox and developmental economic studies. Therefore, the submissions in any field of micro- and macroeconomics, business ethics, economic policy or finance are appropriate for this journal. We hope, the provided contributions will help to understand the contemporary challenges faced by the private and public sector and will establish an international forum of empirical research.