| Form of studies |
Bachelor |
| Title of the study programm |
Entrepreneurship and Management |
| Title in original language |
Uzņēmuma maksātnespējas prognozēšanas metodes Šrilankā |
| Title in English |
Forecasting Methods of Company`s Solvency: Case of Sri Lanka |
| Department |
22000 Faculty of Engineering Economics and Management |
| Scientific advisor |
Irina Voronova |
| Reviewer |
Jana Eriņa |
| Abstract |
The research has identified that the Altman Z- Score models are suitable for predict the firm financial failure and it has much predictability in long run. The 1993 Z''1 Altman Z- Score model has shown 100% accuracy to identifying the distress firms and non- distress firm in the research study and both 1993 Z''1 and 1983 Z' models has shown 60% similar result while applying to the delisted companies. Furthermore, the Altman 1993 Z''1 has shown much better predictability than the Altman 1983 Z' model and both models were successful for predict the firm failure in 3 years prior. The Z-Score indicate in the distress zone area are most likely to be bankrupt in the future and the research has shown that not every insolvent company is carried to bankrupt if the firm is strong to recover from such a situation. |
| Keywords |
Altman Z- Score models, Solvency, Insolvency, Bankruptcy, Financial failure |
| Keywords in English |
Altman Z- Score models, Solvency, Insolvency, Bankruptcy, Financial failure |
| Language |
eng |
| Year |
2018 |
| Date and time of uploading |
30.05.2018 11:12:55 |
