CLASSIFICATION OF THE MAIN FINANCIAL - BANKING INSTITUTIONS IN ROMANIA USING SAS
Iordache Ana Maria Mihaela et al.
What the paper says
In this research we started from the analysis of the financial actors on the Romanian market, the values of the net assets and equity indicators were registered and, depending on these, the financial institutions were grouped. The software’s used were: Statistical Analysis System (Data Miner), SAS Enterprise Guide and Microsoft Office Excel 2019. Thus, financial institutions with foreign or state capital were aggregated in two main classes, depending on the performance indicators studied. Apart from this, two outliers were found which could not be attached to any class. Furthermore, a comparative analysis was performed over a period of 10 years (2009 - 2019) of these two outliers to study in detail why they could not be added to any found class
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.00 × 0.4 = 0.00 |
| M · momentum | 0.20 × 0.15 = 0.03 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.