Table 10 Descriptive statistics of LD + AP in different networks
From: Clues from networks: quantifying relational risk for credit risk evaluation of SMEs
Risk event | MN | DN | SN | CN |
|---|---|---|---|---|
MRE_M3 | 409 (3.458%) | 190 (1.960%) | 192 (2.397%) | 135 (2.342%) |
MRE_M6 | 619 (5.237%) | 249 (2.575%) | 254 (3.182%) | 183 (3.165%) |
MRE_M9 | 738 (6.247%) | 292 (3.017%) | 300 (3.764%) | 215 (3.737%) |
MRE_M12 | 834 (7.058%) | 327 (3.379%) | 331 (4.152%) | 241 (4.182%) |
MRE_M15 | 926 (7.835%) | 418 (4.321%) | 413 (5.167%) | 301 (5.217%) |
MRE_M18 | 1017 (8.605%) | 464 (4.803%) | 461 (5.770%) | 334 (5.802%) |
MRE_M21 | 1073 (9.085%) | 451 (4.664%) | 452 (5.663%) | 330 (5.720%) |
MRE_M24 | 1129 (9.565%) | 464 (4.795%) | 464 (5.807%) | 340 (5.904%) |
MRE_M27 | 1186 (10.045%) | 531 (5.487%) | 526 (6.588%) | 384 (6.672%) |
MRE_M30 | 1232 (10.426%) | 555 (5.737%) | 552 (6.907%) | 404 (7.006%) |
MRE_M33 | 1280 (10.839%) | 483 (4.988%) | 490 (6.142%) | 362 (6.290%) |
MRE_M36 | 1333 (11.295%) | 678 (7.00+%) | 658 (8.237%) | 482 (8.358%) |
MRE_M39 | 1356 (11.485%) | 590 (6.100%) | 584 (7.322%) | 430 (7.475%) |
MRE_M42 | 1376 (11.650%) | 534 (5.520%) | 540 (6.759%) | 397 (6.892%) |
MRE_M45 | 1398 (11.841%) | 561 (5.800%) | 564 (7.069%) | 415 (7.209%) |
MRE_M48 | 1410 (11.940%) | 578 (5.971%) | 580 (7.267%) | 427 (7.409%) |
MRE_M49 | 1472 (12.470%) | 580 (6.000%) | 583 (7.300%) | 432 (7.500%) |