Table 16 Summary statistics of AP in different networks on NEEQ SMEs dataset
From: Clues from networks: quantifying relational risk for credit risk evaluation of SMEs
Risk event | MN | DN | SN | CN |
|---|---|---|---|---|
AP_M3 | 381 (0.300%) | 272 (3.546%) | 185 (3.108%) | 27 (0.723%) |
AP_M6 | 890 (0.700%) | 544 (7.092%) | 370 (6.216%) | 82 (2.194%) |
AP_M9 | 1271 (1.000%) | 816 (10.637%) | 555 (9.325%) | 110 (2.944%) |
AP_M12 | 1652 (1.300%) | 997 (12.997%) | 740 (12.433%) | 137 (3.666%) |
AP_M15 | 2160 (1.700%) | 1360 (17.729%) | 987 (16.583%) | 192 (5.138%) |
AP_M18 | 2669 (2.100%) | 1632 (21.275%) | 1234 (20.733%) | 219 (5.860%) |
AP_M21 | 3050 (2.400%) | 1813 (23.634%) | 1419 (23.841%) | 274 (7.332%) |
AP_M24 | 3431 (2.700%) | 2085 (27.180%) | 1604 (26.949%) | 301 (8.055%) |
AP_M27 | 3812 (3.000%) | 2266 (29.540%) | 1728 (29.032%) | 329 (8.804%) |
AP_M30 | 4066 (3.200%) | 2538 (33.086%) | 1913 (32.140%) | 356 (9.526%) |
AP_M33 | 4448 (3.500%) | 2719 (35.445%) | 2098 (35.249%) | 384 (10.276%) |
AP_M36 | 4702 (3.700%) | 2901 (37.818%) | 2221 (37.315%) | 411 (10.998%) |
AP_M39 | 4956 (3.900%) | 2991 (38.991%) | 2283 (38.357%) | 411 (10.998%) |
AP_M42 | 4956 (3.900%) | 2991 (38.991%) | 2283 (38.357%) | 439 (11.747%) |
AP_M45 | 4956 (3.900%) | 2991 (38.991%) | 2283 (38.357%) | 439 (11.747%) |
AP_M48 | 4956 (3.900%) | 2991 (38.991%) | 2283 (38.357%) | 439 (11.747%) |
AP_M49 | 4956 (3.900%) | 2991 (38.991%) | 2345 (39.399%) | 439 (11.747%) |