Are Bankruptcy Models Adequate for Condition Assessment of Companies Listed on Warsaw Stock Exchange?
Author:
Affiliation:
1. University of Lodz , Faculty of Economics and Sociology, Department of Corporate Finance , Poland
2. University of Lodz , Faculty of Economics and Sociology, Department of Capital Market and Investments , Poland
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/fiqf-2022-0008
Reference51 articles.
1. Abellán, J. & Mantas, C.J., (2014). Improving Experimental Studies About Ensembles of Classifiers for Bankruptcy Prediction and Credit Scoring. Expert Systems with Applications, 41(8), 3825-3830.10.1016/j.eswa.2013.12.003
2. Adamowicz, K. & Noga, T. (2017). Assessment Applicability of Selected Models of Multiple Discriminant Analyses to Forecast Financial Situation of Polish Wood Sector Enterprises. Folia Forestalia Polonica. Series A. Forestry, 59(1), 59-67.10.1515/ffp-2017-0006
3. Altman, E.I., (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589-609.10.1111/j.1540-6261.1968.tb00843.x
4. Altman, E.I., (2018). A Fifty-year Retrospective on Credit Risk Models, the Altman Z-score Family of Models and Their Applications to Financial Markets and Managerial Strategies. Journal of Credit Risk, 14(4), 1-34.10.21314/JCR.2018.243
5. Altman, E.I., Haldeman, R.G. & Narayanan, P. (1977). ZETATM Analysis A New Model to Identify Bankruptcy Risk of Corporations. Journal of Banking & Finance, Elsevier, 1(1), 29-54.10.1016/0378-4266(77)90017-6
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Hybrid Particle Swarm Algorithm for Financial Risk Early Warning Optimization;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3