| Abstract [eng] |
In this paper are analyzed all aspects of financial historical data, its current problems and global errors. There are overviews and analysis of current existing global financial data databases its models and data quality problems. Experiment was done – by creating global financial data database which validates all data quality check and global financial data resources. The main aim of this paper is to analyze financial historical data, current global databases, and its data quality problems. Find and create new global financial data database models and create practical experiment. The object is realization of historical financial data database that meets these criteria: 1. Collects global financial data (stocks, bonds, currency); 2. Keeps all global data from different resources in same format with ability to change data format; 3. Resolves missing data gaps, dividends, splits problems that are common in other financial DB; 4. Could be able to make data order by various moving criteria (last periods price changes);. |
