Prediction of Bankruptcy in Georgian Enterprises

Aleksandre Petriashvili ()
Additional contact information
Aleksandre Petriashvili: University of Economics, Prague

A chapter in Global Versus Local Perspectives on Finance and Accounting, 2019, pp 135-142 from Springer

Abstract: Abstract Bankruptcy prediction research in Georgia is still limited. Signs of potential enterprise failure are evident months before the actual bankruptcy materializes. But accurate prediction of declining business activity that leads to bankruptcy allows time for managers and creditors to take corrective actions. In this research, the author has decided to use a discriminant analysis of financial ratios to create a model that would help to predict future financial insolvency in Georgian companies in different industries. Some financial ratios from the enterprise balance sheet are used as independent variable, while solvency/insolvency is used as a dependent variable. A set of 8 solvent and 11 insolvent Georgian enterprises are used to perform the discriminant analysis.

Keywords: Bankruptcy; Prediction; Georgia (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-11851-8_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030118518

DOI: 10.1007/978-3-030-11851-8_13

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().