Review Article
Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions
Table 2
Codes and categories of selected papers.
| | Code | Geographical distribution | Context | Method | Main subject | Themes | Contribution | Analysis period |
| | A | 40 (13%) | 169 (55%) | 3 (1%) | 23 (7.49%) | 6 (2%) | 40 (13.02%) | 25 (8.14%) | | B | 120 (39%) | 126 (41%) | 9 (3%) | 43 (14%) | 4 (1%) | 34 (11.07%) | 14 (4.56%) | | C | 46 (15%) | 12 (4%) | 52 (17%) | 24 (7.87%) | 54 (18%) | 35 (11.40%) | 124 (40.39%) | | D | 101 (33%) | NA | 126 (41%) | 51 (16.61%) | 15 (5%) | 45 (14.65%) | 144 (46.90%) | | E | NA | NA | 31 (10%) | 52 (16.93%) | 2 (1%) | 43 (14.33%) | NA | | F | NA | NA | 37 (12%) | NA | 4 (1%) | NA | NA | | G | NA | NA | 49 (16%) | NA | 4 (1%) | NA | NA | | H | NA | NA | NA | NA | 19 (6%) | NA | NA | | I | NA | NA | NA | NA | 192 (63%) | NA | NA | | J | NA | NA | NA | NA | 7 (2%) | NA | NA | | Multiple | NA | NA | NA | 114 (37.13%) | NA | 109 (35.50%) | NA |
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