Name
Abstract | ||
|---|---|---|
Nowadays, stock market investment is governed by investment strategies. An investment strategy consists in following a fixed philosophy over a period of time, and it can have a scientific, statistical or merely heuristic base. No method currently exists which is capable of measuring how good an investment strategy is either objectively or realistically. Through the use of Artificial Intelligence and Data Mining tools we have studied the different investment strategies of an important Spanish management agency and extracted a series of significant characteristics to describe them. Our objective is to evaluate and compare investment strategies in order to be able to use those which produce a peak return in our investment. |
Year | Venue | Keywords |
|---|---|---|
2007 | ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION | significant variables,genetic algorithms,stock market |
Field | DocType | Citations |
Trading strategy,Computer science,Knowledge management,Empirical research | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Delgado | 1 | 106 | 7.81 |
| J. F. Núñez Negrillo | 2 | 0 | 0.68 |
| E. Gibaja Galindo | 3 | 0 | 0.34 |
| C. Molina Férnandez | 4 | 0 | 0.34 |