| Title |
Bankroto prognozavimo modelių tinkamumo vertinimas Lietuvos įmonių, užsiimančių skirtinga ekonomine veikla, pavyzdžiu / |
| Translation of Title |
Evaluation of Bankruptcy Prediction Models Relevance According to the Sample of Lithuanian Companies Engaged in Different Economical Fields. |
| Authors |
Vaišnorė, Rasa |
| Full Text |
|
| Pages |
146 |
| Keywords [eng] |
Bankruptcy ; bankruptcy prediction model ; models relevance |
| Abstract [eng] |
Different bankruptcy prediction models are analyzed in the paper, evaluating their relevance for still working and already bankrupted companies, engaged in different economical fields. It is claimed that evaluation of the company's financial risk can help to prevent bankruptcy. So, it is important to recognize and evaluate the first signs of the thread. Still growing companies' bankruptcy number shows that not enough attention is payed for bankruptcy diagnostics in the early periods. As a result we can formulate the problem: which bankruptcy prediction model is the most relevant for the application in the companies working in different economical fields. The research is made on the bases of the analysis of the bankruptcy prediction models according to selected bankruptcy prediction models for companies, working in different sectors. Due to this analysis the most relevant bankruptcy prediction models for production companies are Altman and Springate, for services companies – Altman, Lis and Chesser bankruptcy prediction models. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2013 |
