Using financial ratios to identify Romanian distressed companies
Abstract
In the context of the current financial crisis, when more companies are facing bankruptcy or insolvency, the paper aims to find methods to identify distressed firms by using financial ratios. The study will focus on identifying a group of Romanian listed companies, for which financial data for the year 2008 were available. For each company a set of 14 financial indicators was calculated and then used in a principal component analysis, followed by a cluster analysis, a logit model, and a CHAID classification tree.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Article provided by Faculty of Management, Academy of Economic Studies, Bucharest, Romania in its journal Economia. Seria Management.
Volume (Year): 12 (2009)
Issue (Month): 1 Special (July)
Pages: 46-55
Contact details of provider:
Postal: 6 ROMANA PLACE, 70167 - BUCHAREST
Phone: 0040-01-2112650
Fax: 0040-01-3129549
Email:
Web page: http://www.management.ase.ro/
More information through EDIRC
Related research
Keywords: distress company; financial ratio; cluster; CHAID; logit model;Other versions of this item:
- Madalina Ecaterina Andreica & Mugurel Ionut Andreica & Marin Andreica, 2010. "Using Financial Ratios to Identify Romanian Distressed Companies," Papers 1001.1446, arXiv.org.
- Madalina Andreica & Mugurel Ionut Andreica & Marin Andreica, 2009. "Using Financial Ratios to Identify Romanian Distressed Companies," Post-Print hal-00474278, HAL.
- G01 - Financial Economics - - General - - - Financial Crises
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Scott, James, 1981. "The probability of bankruptcy: A comparison of empirical predictions and theoretical models," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 317-344, September.
- Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-24, January.
- Eisenbeis, Robert A, 1977. "Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics," Journal of Finance, American Finance Association, vol. 32(3), pages 875-900, June.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:rom:econmn:v:12:y:2009:i:1special:p:46-55For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ciocoiu Nadia Carmen).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

