01 de Agosto de 2024
data
| Fecha | Comercial.Bruta | Comercial.Vencida | Comercial.Deterioro | Comercial.Mora | Comercial.Cubrimiento | Comercial.MoraCalificacion | Comercial.CubrimientoCalif | Consumo.Bruta | Consumo.Vencida | Consumo.Deterioro | Consumo.CalidadTrad | Consumo.CubrimientoTrad | Consumo.CalidadCalif | Consumo.CubrimientoCalif | Vivienda.Bruta | Vivienda.Vencida | Vivienda.Deterioro | Vivienda.CalidadTrad | Vivienda.CubrimientoTrad | Vivienda.CalidadMora | Vivienda.CubrimientoMora | Vivienda.CalidadCalif | Vivienda.CubrimientoCalif | MICROCREDITO.Bruta | MICROCREDITO.Vencida | MICROCREDITO.Deterioro | MICROCREDITO.CalidadTrad | MICROCREDITO.CubrimientoTrad | MICROCREDITO.CalidadCalif | MICROCREDITO.CubrimientoCalif | COMFENALCO | MoraConsumo |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-01-30 | 224584.0 | 5189.000 | 8622.00 | 0.0315880 | 1.661586 | 0.0696210 | 0.5514929 | 100277.0 | 4627.000 | 6410.00 | 0.0517172 | 1.385517 | 0.0713771 | 0.8953801 | 43851.00 | 887.000 | 1301.000 | 0.0238304 | 1.4673310 | 0.0536059 | 0.7994968 | 0.0370311 | 0.7994968 | 10521.00 | 709.0000 | 749.0000 | 0.0749524 | 1.0564176 | 0.1083076 | 0.6568749 | 0.0569597 | 5.171720 |
| 2016-02-29 | 227924.0 | 5466.000 | 8839.00 | 0.0239825 | 1.617099 | 0.0686924 | 0.5646366 | 100996.0 | 4826.000 | 6512.00 | 0.0477800 | 1.349430 | 0.0740702 | 0.8702559 | 44438.00 | 896.000 | 1318.000 | 0.0201723 | 1.4704328 | 0.0531446 | 0.8067044 | 0.0366925 | 0.8067044 | 10564.00 | 716.0000 | 755.0000 | 0.0678077 | 1.0545650 | 0.1080636 | 0.6617181 | 0.0578705 | 4.778001 |
| 2016-03-31 | 226459.0 | 5559.000 | 8902.00 | 0.0245459 | 1.601480 | 0.0703802 | 0.5585933 | 101643.0 | 4980.000 | 6535.00 | 0.0489948 | 1.312290 | 0.0756184 | 0.8500478 | 45012.00 | 918.000 | 1342.000 | 0.0203972 | 1.4616181 | 0.0547081 | 0.7998377 | 0.0371942 | 0.7998377 | 10582.00 | 735.0000 | 748.0000 | 0.0694368 | 1.0178914 | 0.1083627 | 0.6522456 | 0.0528920 | 4.899478 |
| 2016-04-30 | 226812.0 | 5671.000 | 9045.00 | 0.0250027 | 1.595027 | 0.0707780 | 0.5634509 | 102765.0 | 5062.000 | 6636.00 | 0.0492617 | 1.310895 | 0.0754028 | 0.8562727 | 45694.00 | 945.000 | 1366.000 | 0.0206717 | 1.4460701 | 0.0562364 | 0.7890757 | 0.0378252 | 0.7890757 | 10685.00 | 738.0000 | 748.0000 | 0.0690434 | 1.0136471 | 0.1083293 | 0.6460456 | 0.0500400 | 4.926170 |
| 2016-05-31 | 230372.0 | 5639.000 | 9189.00 | 0.0244779 | 1.629543 | 0.0727682 | 0.5481476 | 104025.0 | 5230.000 | 6814.00 | 0.0502755 | 1.302960 | 0.0769928 | 0.8507162 | 46367.00 | 967.000 | 1404.000 | 0.0208601 | 1.4515142 | 0.0568492 | 0.7713094 | 0.0392162 | 0.7713094 | 10754.00 | 758.0000 | 758.0000 | 0.0705223 | 0.9997862 | 0.1093429 | 0.6448267 | 0.0456257 | 5.027551 |
| 2016-06-30 | 229924.0 | 5181.000 | 9077.00 | 0.0225330 | 1.752083 | 0.0752406 | 0.5247134 | 105614.0 | 5168.000 | 6926.00 | 0.0489282 | 1.340311 | 0.0761751 | 0.8608967 | 47024.00 | 978.000 | 1429.000 | 0.0208048 | 1.4610165 | 0.0561375 | 0.7870223 | 0.0386206 | 0.7870223 | 10782.00 | 764.0000 | 768.0000 | 0.0708697 | 1.0050458 | 0.1136577 | 0.6266826 | 0.0455706 | 4.892819 |
| 2016-07-30 | 232239.0 | 5812.000 | 9244.00 | 0.0250244 | 1.590532 | 0.0765949 | 0.5196450 | 106547.0 | 5376.000 | 7098.00 | 0.0504598 | 1.320302 | 0.0781607 | 0.8523733 | 47592.00 | 1018.000 | 1462.000 | 0.0214001 | 1.4354772 | 0.0580711 | 0.7663489 | 0.0400843 | 0.7663489 | 10852.00 | 777.0000 | 772.0000 | 0.0716241 | 0.9930620 | 0.1135480 | 0.6264063 | 0.0421029 | 5.045979 |
| 2016-08-30 | 231831.0 | 5826.000 | 9301.00 | 0.0251286 | 1.596612 | 0.0773507 | 0.5186839 | 107848.0 | 5369.000 | 7207.00 | 0.0497802 | 1.342421 | 0.0775731 | 0.8614484 | 48222.00 | 1048.000 | 1484.000 | 0.0217349 | 1.4159932 | 0.0567824 | 0.7690870 | 0.0400158 | 0.7690870 | 10994.00 | 782.0000 | 780.0000 | 0.0711145 | 0.9973772 | 0.1121365 | 0.6325149 | 0.0366719 | 4.978021 |
| 2016-09-30 | 231704.0 | 5790.000 | 9401.00 | 0.0249879 | 1.623691 | 0.0763221 | 0.5315968 | 109105.0 | 5430.000 | 7284.00 | 0.0497671 | 1.341565 | 0.0771683 | 0.8651963 | 48431.00 | 1070.000 | 1497.000 | 0.0220979 | 1.3989407 | 0.0579953 | 0.7689912 | 0.0401995 | 0.7689912 | 11106.00 | 771.0000 | 761.0000 | 0.0694410 | 0.9869802 | 0.1087346 | 0.6303139 | 0.0362534 | 4.976708 |
| 2016-10-30 | 231918.0 | 6179.000 | 9636.00 | 0.0266452 | 1.559387 | 0.0780916 | 0.5320688 | 110399.0 | 5672.000 | 7417.00 | 0.0513761 | 1.307598 | 0.0790086 | 0.8502785 | 49058.00 | 1096.000 | 1528.000 | 0.0223451 | 1.3942583 | 0.0593720 | 0.7498230 | 0.0415496 | 0.7498230 | 11166.00 | 798.0000 | 775.0000 | 0.0714943 | 0.9708044 | 0.1108229 | 0.6262902 | 0.0395128 | 5.137611 |
| 2016-11-30 | 234037.0 | 6171.000 | 9794.00 | 0.0263688 | 1.587010 | 0.0851630 | 0.4913814 | 112209.0 | 5919.000 | 7585.00 | 0.0527501 | 1.281518 | 0.0805120 | 0.8396301 | 49411.00 | 1131.000 | 1553.000 | 0.0228872 | 1.3729170 | 0.0606952 | 0.7375011 | 0.0426062 | 0.7375011 | 11234.00 | 824.0000 | 810.0000 | 0.0733793 | 0.9831684 | 0.1122190 | 0.6428880 | 0.0371289 | 5.275014 |
| 2016-12-30 | 231946.0 | 5392.000 | 9884.00 | 0.0232474 | 1.832964 | 0.0863108 | 0.4937010 | 113379.0 | 5656.000 | 7753.00 | 0.0498894 | 1.370657 | 0.0775839 | 0.8813851 | 50165.00 | 1135.000 | 1574.000 | 0.0226179 | 1.3873972 | 0.0548014 | 0.7659867 | 0.0409667 | 0.7659867 | 11257.00 | 811.0000 | 801.0000 | 0.0720771 | 0.9873718 | 0.1176479 | 0.6049142 | 0.0362703 | 4.988941 |
| 2017-01-31 | 229539.0 | 7251.000 | 9960.00 | 0.0315880 | 1.373618 | 0.0992859 | 0.4370194 | 113833.0 | 5887.000 | 7892.00 | 0.0517172 | 1.340504 | 0.0791824 | 0.8755366 | 50370.00 | 1200.000 | 1597.000 | 0.0238304 | 1.3304437 | 0.0609739 | 0.7407520 | 0.0428011 | 0.7407520 | 11294.00 | 847.0000 | 822.0000 | 0.0749524 | 0.9712461 | 0.1192746 | 0.6103330 | 0.0373712 | 5.171720 |
| 2017-02-28 | 231892.0 | 7256.000 | 10109.00 | 0.0312891 | 1.393219 | 0.1005399 | 0.4335850 | 114564.0 | 6181.000 | 8023.00 | 0.0539500 | 1.298086 | 0.0824876 | 0.8489974 | 51064.00 | 1216.000 | 1617.000 | 0.0238040 | 1.3303056 | 0.0599823 | 0.7432494 | 0.0426055 | 0.7432494 | 11366.00 | 867.0000 | 834.0000 | 0.0762458 | 0.9627521 | 0.1195745 | 0.6138913 | 0.0415557 | 5.395001 |
| 2017-03-31 | 232931.0 | 7816.000 | 10306.00 | 0.0335551 | 1.318538 | 0.1018901 | 0.4342302 | 115564.0 | 6333.000 | 8074.00 | 0.0548030 | 1.274843 | 0.0833822 | 0.8378904 | 51296.00 | 1241.000 | 1599.000 | 0.0241883 | 1.2890478 | 0.0624409 | 0.7309769 | 0.0426550 | 0.7309769 | 11441.00 | 863.0000 | 830.0000 | 0.0754600 | 0.9614350 | 0.1164196 | 0.6231756 | 0.0377571 | 5.480298 |
| 2017-04-30 | 235006.0 | 8366.000 | 10516.00 | 0.0356000 | 1.256968 | 0.1019092 | 0.4391004 | 116305.0 | 6733.000 | 8277.00 | 0.0578911 | 1.229329 | 0.0874452 | 0.8138495 | 51778.00 | 1289.000 | 1624.000 | 0.0248925 | 1.2600414 | 0.0674667 | 0.6879501 | 0.0455926 | 0.6879501 | 11490.00 | 902.0000 | 855.0000 | 0.0784923 | 0.9482268 | 0.1191509 | 0.6246580 | 0.0432335 | 5.789109 |
| 2017-05-31 | 236204.0 | 8520.000 | 10763.00 | 0.0360695 | 1.263296 | 0.1042798 | 0.4371473 | 117577.0 | 6935.000 | 8537.00 | 0.0589796 | 1.231046 | 0.0887025 | 0.8185418 | 52337.00 | 1332.000 | 1651.000 | 0.0254554 | 1.2389608 | 0.0672683 | 0.6550396 | 0.0481472 | 0.6550396 | 11543.00 | 909.0000 | 859.0000 | 0.0787402 | 0.9452991 | 0.1189859 | 0.6257381 | 0.0464339 | 5.897965 |
| 2017-06-30 | 238806.0 | 8574.000 | 11054.00 | 0.0359020 | 1.289324 | 0.1063485 | 0.4352590 | 118591.0 | 7029.000 | 8748.00 | 0.0592720 | 1.244515 | 0.0892879 | 0.8261448 | 52451.00 | 1384.000 | 1668.000 | 0.0263788 | 1.2055114 | 0.0696624 | 0.6546196 | 0.0485778 | 0.6546196 | 11707.00 | 906.0000 | 866.0000 | 0.0774134 | 0.9553360 | 0.1203767 | 0.6143693 | 0.0469546 | 5.927197 |
| 2017-07-30 | 237741.0 | 8945.000 | 11286.00 | 0.0376251 | 1.261676 | 0.1081478 | 0.4389429 | 119413.0 | 7160.000 | 8998.00 | 0.0599599 | 1.256640 | 0.0898546 | 0.8385547 | 52950.00 | 1453.000 | 1701.000 | 0.0274444 | 1.1707860 | 0.0713008 | 0.6286715 | 0.0511101 | 0.6286715 | 11817.00 | 912.0000 | 852.0000 | 0.0771585 | 0.9340933 | 0.1183233 | 0.6091210 | 0.0459793 | 5.995986 |
| 2017-08-30 | 237049.0 | 9107.000 | 11617.00 | 0.0384195 | 1.275524 | 0.1100740 | 0.4452006 | 120283.0 | 7119.000 | 9084.00 | 0.0591827 | 1.276053 | 0.0889766 | 0.8487655 | 53561.00 | 1500.000 | 1733.000 | 0.0280113 | 1.1551259 | 0.0714903 | 0.6290147 | 0.0514401 | 0.6290147 | 11919.00 | 920.0000 | 866.0000 | 0.0771852 | 0.9413314 | 0.1170783 | 0.6205837 | 0.0471379 | 5.918270 |
| 2017-09-30 | 238497.0 | 9242.000 | 11828.00 | 0.0387521 | 1.279782 | 0.1091591 | 0.4543304 | 121318.0 | 7271.000 | 9192.00 | 0.0599323 | 1.264249 | 0.0896104 | 0.8455428 | 54207.00 | 1545.000 | 1769.000 | 0.0285047 | 1.1448864 | 0.0717992 | 0.6222313 | 0.0524477 | 0.6222313 | 12015.00 | 920.0000 | 861.0000 | 0.0766123 | 0.9358339 | 0.1163573 | 0.6161746 | 0.0513833 | 5.993234 |
| 2017-10-30 | 238676.0 | 9176.000 | 12056.00 | 0.0384459 | 1.313861 | 0.1093074 | 0.4621153 | 122339.0 | 7396.000 | 9371.00 | 0.0604587 | 1.266934 | 0.0902826 | 0.8484155 | 54701.00 | 1609.000 | 1804.000 | 0.0294164 | 1.1209186 | 0.0713842 | 0.6133997 | 0.0537551 | 0.6133997 | 12037.00 | 906.0000 | 845.0000 | 0.0752349 | 0.9332747 | 0.1146752 | 0.6122928 | 0.0555645 | 6.045871 |
| 2017-11-30 | 239356.0 | 9292.000 | 12349.00 | 0.0388226 | 1.328961 | 0.1130000 | 0.4565821 | 124008.0 | 7610.000 | 9585.00 | 0.0613646 | 1.259558 | 0.0912701 | 0.8468524 | 55044.00 | 1663.000 | 1847.000 | 0.0302089 | 1.1105395 | 0.0751146 | 0.6151942 | 0.0545326 | 0.6151942 | 12108.00 | 927.0000 | 888.0000 | 0.0765435 | 0.9587021 | 0.1157376 | 0.6340414 | 0.0413852 | 6.136459 |
| 2017-12-30 | 239658.0 | 8879.000 | 12596.00 | 0.0370479 | 1.418702 | 0.1144728 | 0.4591474 | 124363.0 | 7229.000 | 9652.00 | 0.0581298 | 1.335188 | 0.0887283 | 0.8747407 | 55874.00 | 1669.000 | 1878.000 | 0.0298765 | 1.1248293 | 0.0684490 | 0.6248370 | 0.0537835 | 0.6248370 | 12129.00 | 937.0000 | 882.0000 | 0.0772779 | 0.9412064 | 0.1213498 | 0.5993784 | 0.0429853 | 5.812981 |
| 2018-01-30 | 237409.0 | 9601.000 | 12871.00 | 0.0404413 | 1.340564 | 0.1196536 | 0.4530925 | 124454.0 | 7447.000 | 9860.00 | 0.0598341 | 1.324097 | 0.0900139 | 0.8801551 | 56046.00 | 1732.000 | 1911.000 | 0.0309061 | 1.1035321 | 0.0710653 | 0.6094485 | 0.0559618 | 0.6094485 | 12150.00 | 971.0000 | 899.0000 | 0.0798866 | 0.9265839 | 0.1231606 | 0.6010167 | 0.0442568 | 5.983409 |
| 2018-02-28 | 239505.0 | 10518.000 | 13097.00 | 0.0439167 | 1.245205 | 0.1167005 | 0.4685952 | 125066.0 | 7650.000 | 9970.00 | 0.0611689 | 1.303252 | 0.0918436 | 0.8679801 | 56320.00 | 1754.000 | 1932.000 | 0.0311488 | 1.1010634 | 0.0708679 | 0.6166708 | 0.0556161 | 0.6166708 | 12217.00 | 980.0000 | 908.0000 | 0.0802259 | 0.9264857 | 0.1233757 | 0.6024536 | 0.0460879 | 6.116887 |
| 2018-03-28 | 241213.0 | 10821.000 | 13371.00 | 0.0448587 | 1.235755 | 0.1183622 | 0.4683445 | 125540.0 | 7735.000 | 10131.00 | 0.0616151 | 1.309701 | 0.0932056 | 0.8658001 | 57073.00 | 1754.000 | 1970.000 | 0.0307254 | 1.1231268 | 0.0714429 | 0.6213972 | 0.0555338 | 0.6213972 | 12209.00 | 960.0000 | 877.0000 | 0.0786089 | 0.9137110 | 0.1217909 | 0.5897467 | 0.0471563 | 6.161514 |
| 2018-04-28 | 241489.0 | 11116.000 | 13482.00 | 0.0460305 | 1.212821 | 0.1179578 | 0.4732778 | 126599.0 | 7789.000 | 10315.00 | 0.0615245 | 1.324281 | 0.0929423 | 0.8766262 | 57691.00 | 1791.000 | 1998.000 | 0.0310467 | 1.1155496 | 0.0730089 | 0.6097114 | 0.0568041 | 0.6097114 | 12264.00 | 949.0000 | 882.0000 | 0.0774153 | 0.9287038 | 0.1210908 | 0.5937348 | 0.0496122 | 6.152445 |
| 2018-05-28 | 242495.0 | 11407.000 | 13753.00 | 0.0470414 | 1.205647 | 0.1187132 | 0.4777505 | 127694.0 | 7636.000 | 10427.00 | 0.0597999 | 1.365551 | 0.0917367 | 0.8901537 | 58362.00 | 1806.000 | 2018.000 | 0.0309398 | 1.1173898 | 0.0726923 | 0.6118900 | 0.0565000 | 0.6118900 | 12322.00 | 943.0000 | 887.0000 | 0.0764939 | 0.9413420 | 0.1203585 | 0.5982708 | 0.0493607 | 5.979985 |
| 2018-06-28 | 243115.0 | 11516.000 | 14038.00 | 0.0473702 | 1.218930 | 0.1208231 | 0.4778934 | 128427.0 | 7626.000 | 10473.00 | 0.0593767 | 1.373351 | 0.0914611 | 0.8915815 | 59018.00 | 1831.000 | 2044.000 | 0.0310199 | 1.1167492 | 0.0731873 | 0.6016913 | 0.0575734 | 0.6016913 | 12342.00 | 956.0000 | 898.0000 | 0.0774556 | 0.9395863 | 0.1256942 | 0.5789949 | 0.0493607 | 5.937667 |
| 2018-07-28 | 241835.0 | 11862.000 | 13924.00 | 0.0490508 | 1.173824 | 0.1212290 | 0.4749446 | 129201.0 | 7558.000 | 10599.00 | 0.0584995 | 1.402260 | 0.0905773 | 0.9056525 | 59139.00 | 1862.000 | 2028.000 | 0.0314828 | 1.0892249 | 0.0724169 | 0.5882019 | 0.0582995 | 0.5882019 | 12363.00 | 961.0000 | 881.0000 | 0.0777454 | 0.9168551 | 0.1246382 | 0.5719054 | 0.0507771 | 5.849948 |
| 2018-08-28 | 240570.0 | 11650.000 | 14148.00 | 0.0484283 | 1.214350 | 0.1230385 | 0.4779719 | 130477.0 | 7562.000 | 10667.00 | 0.0579532 | 1.410727 | 0.0895427 | 0.9130409 | 59828.00 | 1908.000 | 2059.000 | 0.0318859 | 1.0794684 | 0.0732966 | 0.6016835 | 0.0572058 | 0.6016835 | 12416.00 | 936.0000 | 886.0000 | 0.0753666 | 0.9473572 | 0.1224959 | 0.5828704 | 0.0560508 | 5.795319 |
| 2018-09-28 | 240970.0 | 11703.000 | 14217.00 | 0.0485676 | 1.214805 | 0.1208193 | 0.4883334 | 131504.0 | 7586.000 | 10594.00 | 0.0576871 | 1.396538 | 0.0891602 | 0.9035672 | 60484.00 | 1912.000 | 2089.000 | 0.0316056 | 1.0928968 | 0.0735834 | 0.5923202 | 0.0583159 | 0.5923202 | 12426.00 | 903.0000 | 845.0000 | 0.0727081 | 0.9354131 | 0.1192915 | 0.5701341 | 0.0538185 | 5.768711 |
| 2018-10-28 | 243939.0 | 11841.000 | 14500.00 | 0.0485415 | 1.224536 | 0.1209050 | 0.4916322 | 133001.0 | 7497.000 | 10663.00 | 0.0563700 | 1.422213 | 0.0881621 | 0.9093486 | 61201.00 | 1904.000 | 2124.000 | 0.0311152 | 1.1152209 | 0.0712403 | 0.5948472 | 0.0583349 | 0.5948472 | 12494.00 | 918.0000 | 864.0000 | 0.0734519 | 0.9414636 | 0.1193734 | 0.5792937 | 0.0530314 | 5.636995 |
| 2018-11-28 | 246572.0 | 11637.000 | 14621.00 | 0.0471965 | 1.256397 | 0.1185622 | 0.5001383 | 135063.0 | 7554.000 | 10669.00 | 0.0559323 | 1.412224 | 0.0873540 | 0.9042406 | 61921.00 | 1975.000 | 2156.000 | 0.0319012 | 1.0916865 | 0.0735931 | 0.6020752 | 0.0578434 | 0.6020752 | 12575.00 | 937.0000 | 914.0000 | 0.0744782 | 0.9759111 | 0.1188849 | 0.6113819 | 0.0595097 | 5.593234 |
| 2018-12-28 | 247378.0 | 10909.000 | 14903.00 | 0.0440983 | 1.366150 | 0.1186529 | 0.5077402 | 135822.0 | 7113.000 | 10639.00 | 0.0523702 | 1.495678 | 0.0835253 | 0.9377880 | 62676.00 | 1976.000 | 2188.000 | 0.0315230 | 1.1074817 | 0.0668420 | 0.6140559 | 0.0568534 | 0.6140559 | 12557.00 | 920.0000 | 964.0000 | 0.0732546 | 1.0483739 | 0.1208114 | 0.6356870 | 0.0412629 | 5.237023 |
| 2019-01-31 | 243332.0 | 11404.000 | 15042.00 | 0.0468647 | 1.319084 | 0.1189790 | 0.5195746 | 136323.0 | 7286.000 | 10710.00 | 0.0534443 | 1.470056 | 0.0834926 | 0.9409940 | 63049.00 | 2037.000 | 2218.000 | 0.0323040 | 1.0890163 | 0.0689316 | 0.6044453 | 0.0582015 | 0.6044453 | 12584.00 | 953.0000 | 984.0000 | 0.0757542 | 1.0321115 | 0.1219627 | 0.6410713 | 0.0425099 | 5.344425 |
| 2019-02-28 | 246537.0 | 11539.000 | 15213.00 | 0.0468055 | 1.318333 | 0.1180452 | 0.5227258 | 137333.0 | 7369.000 | 10648.00 | 0.0536583 | 1.444897 | 0.0842371 | 0.9203864 | 63560.00 | 2044.000 | 2237.000 | 0.0321548 | 1.0943629 | 0.0687025 | 0.6106966 | 0.0576212 | 0.6106966 | 12637.00 | 941.0000 | 972.0000 | 0.0744907 | 1.0327483 | 0.1217880 | 0.6316726 | 0.0425716 | 5.365828 |
| 2019-03-28 | 248864.0 | 11942.000 | 15019.00 | 0.0479859 | 1.257673 | 0.1163623 | 0.5186436 | 138717.0 | 7477.000 | 10770.00 | 0.0539002 | 1.440483 | 0.0838706 | 0.9257408 | 64064.00 | 2052.000 | 2258.000 | 0.0320331 | 1.1004919 | 0.0694806 | 0.6112403 | 0.0576732 | 0.6112403 | 12656.00 | 927.0000 | 949.0000 | 0.0732749 | 1.0231922 | 0.1191576 | 0.6292025 | 0.0392022 | 5.390025 |
| 2019-04-28 | 250742.0 | 12375.000 | 15221.00 | 0.0493519 | 1.230030 | 0.1152222 | 0.5268456 | 140275.0 | 7620.000 | 10877.00 | 0.0543195 | 1.427524 | 0.0846365 | 0.9161817 | 64222.00 | 2066.000 | 2272.000 | 0.0321775 | 1.0993632 | 0.0727863 | 0.5972443 | 0.0592299 | 0.5972443 | 12673.00 | 952.0000 | 953.0000 | 0.0751312 | 1.0009473 | 0.1207165 | 0.6229666 | 0.0397291 | 5.431951 |
| 2019-05-28 | 252790.0 | 12220.000 | 15252.00 | 0.0483398 | 1.248111 | 0.1119332 | 0.5390125 | 142259.0 | 7553.000 | 11012.00 | 0.0530915 | 1.457948 | 0.0831433 | 0.9309794 | 64565.00 | 2087.000 | 2285.000 | 0.0323231 | 1.0947094 | 0.0727436 | 0.5963428 | 0.0593357 | 0.5963428 | 12698.00 | 905.0000 | 925.0000 | 0.0712827 | 1.0215459 | 0.1165852 | 0.6245953 | 0.0380774 | 5.309154 |
| 2019-06-28 | 252514.0 | 11577.000 | 14883.00 | 0.0458470 | 1.285602 | 0.1141629 | 0.5162879 | 143637.0 | 7599.000 | 11075.00 | 0.0529054 | 1.457383 | 0.0829920 | 0.9290471 | 65126.00 | 2117.000 | 2317.000 | 0.0325021 | 1.0944966 | 0.0749109 | 0.5890178 | 0.0603945 | 0.5890178 | 12696.00 | 924.0000 | 935.0000 | 0.0727737 | 1.0123836 | 0.1226066 | 0.6009050 | 0.0414527 | 5.290542 |
| 2019-07-28 | 252393.0 | 11841.000 | 15190.00 | 0.0469133 | 1.282901 | 0.1163158 | 0.5174215 | 145643.0 | 7438.000 | 11168.00 | 0.0510697 | 1.501480 | 0.0806216 | 0.9511123 | 65807.00 | 2147.000 | 2337.000 | 0.0326318 | 1.0882490 | 0.0702430 | 0.5940850 | 0.0597748 | 0.5940850 | 12779.00 | 945.0000 | 953.0000 | 0.0739594 | 1.0081329 | 0.1223395 | 0.6094594 | 0.0413158 | 5.106975 |
| 2019-08-28 | 253363.0 | 11028.000 | 15445.00 | 0.0435261 | 1.400509 | 0.1146006 | 0.5319229 | 147687.0 | 7440.000 | 11209.00 | 0.0503789 | 1.506466 | 0.0786443 | 0.9650288 | 66340.00 | 2159.000 | 2350.000 | 0.0325425 | 1.0885066 | 0.0736277 | 0.6027608 | 0.0587674 | 0.6027608 | 12849.00 | 938.0000 | 962.0000 | 0.0729825 | 1.0263249 | 0.1202793 | 0.6227485 | 0.0359905 | 5.037888 |
| 2019-09-28 | 255303.0 | 10809.000 | 15615.00 | 0.0423363 | 1.444704 | 0.1134756 | 0.5389854 | 150258.0 | 7506.000 | 11252.00 | 0.0499544 | 1.499108 | 0.0786323 | 0.9523706 | 67081.00 | 2172.000 | 2373.000 | 0.0323836 | 1.0924029 | 0.0738410 | 0.5822366 | 0.0607587 | 0.5822366 | 12927.00 | 923.0000 | 966.0000 | 0.0714335 | 1.0458339 | 0.1182402 | 0.6318290 | 0.0359947 | 4.995439 |
| 2019-10-28 | 254850.0 | 11522.000 | 15794.00 | 0.0452110 | 1.370770 | 0.1139444 | 0.5438957 | 152804.0 | 7513.000 | 11395.00 | 0.0491647 | 1.516839 | 0.0780154 | 0.9559001 | 67562.00 | 2166.000 | 2386.000 | 0.0320648 | 1.1012098 | 0.0720079 | 0.5899036 | 0.0598574 | 0.5899036 | 13014.00 | 921.0000 | 988.0000 | 0.0707364 | 1.0734532 | 0.1168501 | 0.6498259 | 0.0342501 | 4.916472 |
| 2019-11-28 | 258406.0 | 11889.000 | 15961.00 | 0.0460096 | 1.342447 | 0.1135957 | 0.5437310 | 155423.0 | 7848.000 | 11571.00 | 0.0504923 | 1.474447 | 0.0790650 | 0.9416083 | 68153.00 | 2246.000 | 2414.000 | 0.0329572 | 1.0748669 | 0.0756798 | 0.5825520 | 0.0608069 | 0.5825520 | 13042.00 | 927.0000 | 986.0000 | 0.0710930 | 1.0635708 | 0.1167129 | 0.6478494 | 0.0350546 | 5.049231 |
| 2019-12-28 | 254208.0 | 10682.000 | 15247.00 | 0.0420192 | 1.427439 | 0.1088928 | 0.5508148 | 157200.0 | 7437.000 | 11611.00 | 0.0473112 | 1.561116 | 0.0757947 | 0.9744514 | 68892.00 | 2222.000 | 2431.000 | 0.0322503 | 1.0942252 | 0.0677912 | 0.5931490 | 0.0594945 | 0.5931490 | 13240.00 | 912.0000 | 981.0000 | 0.0688510 | 1.0765297 | 0.1160919 | 0.6384610 | 0.0229513 | 4.731123 |
| 2020-01-31 | 253107.0 | 11177.000 | 15312.00 | 0.0441603 | 1.369884 | 0.1109790 | 0.5450992 | 158442.0 | 7650.000 | 11708.00 | 0.0482842 | 1.530375 | 0.0763234 | 0.9681553 | 69271.00 | 2273.000 | 2450.000 | 0.0328148 | 1.0779053 | 0.0713257 | 0.5993441 | 0.0590166 | 0.5993441 | 13249.00 | 932.0000 | 966.0000 | 0.0703614 | 1.0361973 | 0.1166393 | 0.6250751 | 0.0249932 | 4.828418 |
| 2020-02-29 | 257435.0 | 11803.000 | 15689.00 | 0.0458482 | 1.329261 | 0.1096168 | 0.5559751 | 160435.0 | 7893.000 | 11771.00 | 0.0491982 | 1.491328 | 0.0771843 | 0.9505908 | 69860.00 | 2284.000 | 2471.000 | 0.0326984 | 1.0817969 | 0.0723046 | 0.5923896 | 0.0597125 | 0.5923896 | 13306.00 | 911.0000 | 958.0000 | 0.0684694 | 1.0512935 | 0.1141549 | 0.6305593 | 0.0259174 | 4.919820 |
| 2020-03-31 | 274719.0 | 12021.000 | 16337.00 | 0.0437586 | 1.359007 | 0.1068472 | 0.5565725 | 160754.0 | 7222.000 | 11802.00 | 0.0449264 | 1.634181 | 0.0763150 | 0.9620371 | 70076.00 | 2377.000 | 2488.000 | 0.0339180 | 1.0469582 | 0.0627513 | 0.5850433 | 0.0606976 | 0.5850433 | 13226.00 | 906.0000 | 986.0000 | 0.0685117 | 1.0879105 | 0.1090369 | 0.6835721 | 0.0303798 | 4.492641 |
| 2020-04-30 | 280388.0 | 12375.000 | 16613.00 | 0.0441344 | 1.342484 | 0.1104742 | 0.5363224 | 158290.0 | 6640.000 | 11753.00 | 0.0419472 | 1.770060 | 0.0768515 | 0.9661368 | 70153.00 | 2704.000 | 2526.000 | 0.0385511 | 0.9338304 | 0.0633159 | 0.5914182 | 0.0608710 | 0.5914182 | 13113.00 | 843.0000 | 1071.0000 | 0.0642860 | 1.2700674 | 0.1161380 | 0.7030224 | 0.0238314 | 4.194722 |
| 2020-05-31 | 281591.2 | 11726.183 | 16810.07 | 0.0416426 | 1.433550 | 0.1041835 | 0.5729961 | 156753.5 | 5956.789 | 12071.78 | 0.0380010 | 2.026558 | 0.0743959 | 1.0351543 | 70382.88 | 2769.392 | 2564.517 | 0.0393475 | 0.9260218 | 0.0584994 | 0.5982143 | 0.0609090 | 0.5982143 | 13008.73 | 806.8614 | 1128.4341 | 0.0620246 | 1.3985476 | 0.1160690 | 0.7473515 | 0.1037116 | 3.800100 |
| 2020-06-30 | 281397.3 | 11279.709 | 17097.51 | 0.0400846 | 1.515776 | 0.1046163 | 0.5807824 | 156128.8 | 5185.198 | 12239.81 | 0.0332110 | 2.360530 | 0.0701774 | 1.1171056 | 70733.00 | 2765.439 | 2615.437 | 0.0390969 | 0.9457581 | 0.0539387 | 0.6088681 | 0.0607294 | 0.6088681 | 12957.67 | 761.6889 | 1184.6347 | 0.0587829 | 1.5552737 | 0.1101508 | 0.8299845 | 0.2388956 | 3.321102 |
| 2020-07-31 | 278314.9 | 11808.742 | 16887.64 | 0.0424294 | 1.430096 | 0.1028786 | 0.5898038 | 155554.1 | 4758.724 | 10896.41 | 0.0305921 | 2.289775 | 0.0675342 | 1.0372371 | 71045.32 | 2720.021 | 2594.718 | 0.0382857 | 0.9539329 | 0.0495440 | 0.6410982 | 0.0569679 | 0.6410982 | 12935.51 | 824.4624 | 1161.3422 | 0.0637364 | 1.4086054 | 0.1129103 | 0.7951387 | 0.2690463 | 3.059209 |
| 2020-08-31 | 275619.3 | 12687.050 | 16856.90 | 0.0460311 | 1.328669 | 0.1057822 | 0.5781695 | 155289.8 | 6362.448 | 11036.93 | 0.0409714 | 1.734699 | 0.0803988 | 0.8840076 | 71339.90 | 2663.311 | 2614.789 | 0.0373327 | 0.9817811 | 0.0588613 | 0.6435893 | 0.0569502 | 0.6435893 | 12953.04 | 960.3880 | 1186.0746 | 0.0741438 | 1.2349952 | 0.1246792 | 0.7344226 | 0.0261145 | 4.097144 |
| 2020-09-30 | 273972.6 | 12846.953 | 16935.96 | 0.0468914 | 1.318286 | 0.1067354 | 0.5791542 | 156336.0 | 7692.943 | 11410.83 | 0.0492078 | 1.483286 | 0.0871142 | 0.8378563 | 71720.03 | 2572.579 | 2635.180 | 0.0358697 | 1.0243341 | 0.0564502 | 0.6074619 | 0.0604854 | 0.6074619 | 13020.16 | 1074.4026 | 1192.4892 | 0.0825184 | 1.1099090 | 0.1335794 | 0.6856440 | 0.0215422 | 4.920776 |
| 2020-10-31 | 271840.5 | 12796.703 | 17151.73 | 0.0470743 | 1.340324 | 0.1090621 | 0.5785223 | 157984.1 | 9680.863 | 12609.49 | 0.0612774 | 1.302517 | 0.1026028 | 0.7779019 | 72320.51 | 2495.374 | 2640.793 | 0.0345044 | 1.0582755 | 0.0676807 | 0.6130408 | 0.0595640 | 0.6130408 | 13241.70 | 998.3354 | 1254.1981 | 0.0753933 | 1.2562893 | 0.1295263 | 0.7312477 | 0.0374878 | 6.127744 |
| 2020-11-30 | 269565.4 | 12942.644 | 17067.02 | 0.0480130 | 1.318666 | 0.1119624 | 0.5654852 | 159843.0 | 10259.486 | 13481.53 | 0.0641848 | 1.314055 | 0.1099772 | 0.7669072 | 72930.01 | 2530.523 | 2638.091 | 0.0346980 | 1.0425081 | 0.0740844 | 0.4382512 | 0.0825392 | 0.4382512 | 13304.91 | 950.8782 | 1195.6899 | 0.0714682 | 1.2574586 | 0.1295378 | 0.6937614 | 0.0388355 | 6.418475 |
| 2020-12-31 | 265298.5 | 12075.238 | 17730.48 | 0.0455157 | 1.468334 | 0.1300396 | 0.5139371 | 160399.4 | 10144.740 | 14874.91 | 0.0632467 | 1.466268 | 0.1171437 | 0.7916488 | 73752.92 | 2417.546 | 2721.400 | 0.0327790 | 1.1256869 | 0.0682226 | 0.3661643 | 0.1007713 | 0.3661643 | 13361.36 | 949.0735 | 1206.7391 | 0.0710312 | 1.2714917 | 0.1372925 | 0.6578331 | 0.0299301 | 6.324675 |
| 2021-01-31 | 264555.2 | 12350.875 | 17750.32 | 0.0466854 | 1.437171 | 0.1309013 | 0.5125613 | 159942.6 | 10525.283 | 15234.10 | 0.0658066 | 1.447381 | 0.1201326 | 0.7928499 | 73937.32 | 2611.453 | 2727.974 | 0.0353198 | 1.0446190 | 0.0695025 | 0.3571745 | 0.1032990 | 0.3571745 | 13374.28 | 1020.8251 | 1236.0439 | 0.0763275 | 1.2108283 | 0.1370267 | 0.6744631 | 0.0339772 | 6.580664 |
| 2021-02-28 | 266915.5 | 11980.590 | 17613.40 | 0.0448853 | 1.470161 | 0.1282587 | 0.5144966 | 160803.4 | 10360.188 | 14862.75 | 0.0644277 | 1.434603 | 0.1179382 | 0.7836995 | 74820.96 | 2698.049 | 2770.508 | 0.0360601 | 1.0268563 | 0.0695361 | 0.3704758 | 0.0999485 | 0.3704758 | 13465.94 | 998.6197 | 1218.7272 | 0.0741589 | 1.2204117 | 0.1347399 | 0.6716973 | 0.0338219 | 6.442768 |
| 2021-03-31 | 267508.5 | 11907.058 | 17470.36 | 0.0445110 | 1.467227 | 0.1281194 | 0.5097406 | 161642.6 | 9838.777 | 14095.41 | 0.0608675 | 1.432639 | 0.1106019 | 0.7884226 | 75569.73 | 2696.745 | 2789.361 | 0.0356855 | 1.0343437 | 0.0649752 | 0.3776394 | 0.0977416 | 0.3776394 | 13535.78 | 998.6256 | 1210.1005 | 0.0737767 | 1.2117659 | 0.1343109 | 0.6656207 | 0.0370373 | 6.086746 |
| 2021-04-30 | 269769.5 | 12111.883 | 17494.23 | 0.0448972 | 1.444385 | 0.1243505 | 0.5214993 | 162332.2 | 9783.326 | 13840.54 | 0.0602673 | 1.414708 | 0.1087627 | 0.7839141 | 76402.76 | 2727.711 | 2811.017 | 0.0357017 | 1.0305404 | 0.0688979 | 0.3830820 | 0.0960423 | 0.3830820 | 13546.34 | 1004.8722 | 1204.2905 | 0.0741803 | 1.1984515 | 0.1353840 | 0.6566619 | 0.0367105 | 6.026733 |
| 2021-05-31 | 272797.0 | 12311.563 | 17489.43 | 0.0451309 | 1.420569 | 0.1238338 | 0.5177220 | 162574.1 | 9368.950 | 13657.53 | 0.0576288 | 1.457744 | 0.1049304 | 0.8006063 | 77211.21 | 2775.870 | 2849.224 | 0.0359517 | 1.0264256 | 0.0684845 | 0.4075355 | 0.0905486 | 0.4075355 | 13514.76 | 1042.9405 | 1207.0792 | 0.0771705 | 1.1573806 | 0.1380854 | 0.6468147 | 0.0394212 | 5.762881 |
| 2021-06-30 | 274839.1 | 11854.039 | 17638.63 | 0.0431308 | 1.487985 | 0.1242366 | 0.5165791 | 163953.8 | 9024.527 | 13413.42 | 0.0550431 | 1.486330 | 0.1005926 | 0.8133023 | 77795.77 | 2739.280 | 2901.396 | 0.0352112 | 1.0591822 | 0.0660460 | 0.4735683 | 0.0787532 | 0.4735683 | 13529.69 | 1025.2897 | 1214.8001 | 0.0757807 | 1.1848359 | 0.1399974 | 0.6413529 | 0.0391348 | 5.504311 |
| 2021-07-31 | 276402.6 | 12043.236 | 17650.82 | 0.0435714 | 1.465621 | 0.1201208 | 0.5316243 | 165796.1 | 8859.132 | 13225.12 | 0.0534339 | 1.492823 | 0.0959295 | 0.8315209 | 78813.71 | 2711.996 | 2917.546 | 0.0344102 | 1.0757926 | 0.0642051 | 0.4813286 | 0.0769085 | 0.4813286 | 13664.34 | 1019.1049 | 1174.8392 | 0.0745813 | 1.1528147 | 0.1368611 | 0.6282171 | 0.0380351 | 5.343390 |
| 2021-08-31 | 277957.2 | 11899.575 | 17753.91 | 0.0428108 | 1.491978 | 0.1171099 | 0.5454092 | 168246.1 | 8700.157 | 13146.09 | 0.0517109 | 1.511017 | 0.0918187 | 0.8509818 | 79858.35 | 2665.090 | 2933.846 | 0.0333727 | 1.1008431 | 0.0632860 | 0.4919190 | 0.0746833 | 0.4919190 | 13875.36 | 969.7913 | 1133.5136 | 0.0698930 | 1.1688222 | 0.1261588 | 0.6475376 | 0.0387427 | 5.171090 |
| 2021-09-30 | 279405.7 | 11246.327 | 17805.24 | 0.0402509 | 1.583205 | 0.1163089 | 0.5478980 | 171204.8 | 8665.130 | 13181.29 | 0.0506126 | 1.521187 | 0.0877222 | 0.8776723 | 81030.62 | 2625.509 | 2960.547 | 0.0324014 | 1.1276086 | 0.0618734 | 0.5180999 | 0.0705195 | 0.5180999 | 14102.12 | 939.4343 | 1089.6781 | 0.0666165 | 1.1599301 | 0.1203331 | 0.6421386 | 0.0398607 | 5.061265 |
| 2021-10-29 | 280587.2 | 11471.950 | 17839.90 | 0.0408855 | 1.555089 | 0.1158491 | 0.5488226 | 174454.7 | 8584.665 | 13159.65 | 0.0492086 | 1.532926 | 0.0852385 | 0.8849647 | 81956.83 | 2616.761 | 2977.942 | 0.0319285 | 1.1380258 | 0.0610993 | 0.5271698 | 0.0689256 | 0.5271698 | 14291.50 | 995.6645 | 1072.7719 | 0.0696683 | 1.0774432 | 0.1219162 | 0.6156985 | 0.0392111 | 4.920857 |
| 2021-11-30 | 285200.3 | 11524.758 | 17972.68 | 0.0404094 | 1.559484 | 0.1096608 | 0.5746608 | 178424.6 | 8543.262 | 13189.74 | 0.0478816 | 1.543876 | 0.0829202 | 0.8914993 | 83064.64 | 2654.170 | 3043.219 | 0.0319531 | 1.1465804 | 0.0616896 | 0.5396072 | 0.0678952 | 0.5396072 | 14505.51 | 987.7661 | 1040.9321 | 0.0680959 | 1.0538245 | 0.1171289 | 0.6126681 | 0.0403918 | 4.788163 |
| 2021-12-31 | 286080.1 | 10657.099 | 17607.61 | 0.0372521 | 1.652195 | 0.1044927 | 0.5890154 | 180865.7 | 8020.822 | 13283.63 | 0.0443468 | 1.656143 | 0.0776686 | 0.9456168 | 84264.88 | 2606.087 | 3057.335 | 0.0309273 | 1.1731516 | 0.0568321 | 0.5615721 | 0.0646087 | 0.5615721 | 14552.53 | 964.0051 | 1003.5576 | 0.0662431 | 1.0410294 | 0.1153833 | 0.5976693 | 0.0279324 | 4.434684 |
| 2022-01-31 | 285111.8 | 11600.070 | 17688.15 | 0.0406860 | 1.524831 | 0.1053496 | 0.5888900 | 183107.8 | 8292.537 | 13365.92 | 0.0452877 | 1.611802 | 0.0773576 | 0.9436027 | 84781.35 | 2621.961 | 3065.202 | 0.0309261 | 1.1690497 | 0.0595643 | 0.5609989 | 0.0644461 | 0.5609989 | 14663.65 | 1002.2314 | 1009.9452 | 0.0683480 | 1.0076966 | 0.1191552 | 0.5780201 | 0.0306363 | 4.528773 |
| 2022-02-28 | 290490.0 | 11199.686 | 17705.63 | 0.0385545 | 1.580904 | 0.1017124 | 0.5992474 | 186857.3 | 8444.909 | 13379.10 | 0.0451944 | 1.584280 | 0.0764344 | 0.9367599 | 85872.12 | 2568.223 | 3071.343 | 0.0299075 | 1.1959021 | 0.0580396 | 0.5706532 | 0.0626764 | 0.5706532 | 14822.59 | 990.7059 | 1000.9828 | 0.0668376 | 1.0103734 | 0.1166055 | 0.5791403 | 0.0316035 | 4.519444 |
| 2022-03-31 | 293178.2 | 10603.538 | 17583.69 | 0.0361675 | 1.658285 | 0.0995741 | 0.6023266 | 190568.2 | 8391.166 | 13476.43 | 0.0440323 | 1.606026 | 0.0748526 | 0.9447517 | 86980.11 | 2511.047 | 3114.155 | 0.0288692 | 1.2401817 | 0.0549943 | 0.5905794 | 0.0606236 | 0.5905794 | 14974.64 | 953.2119 | 967.6752 | 0.0636551 | 1.0151732 | 0.1102145 | 0.5863197 | 0.0335028 | 4.403235 |
| 2022-04-30 | 299056.6 | 10547.785 | 17482.55 | 0.0352702 | 1.657462 | 0.0964305 | 0.6062294 | 193989.1 | 8681.520 | 13628.96 | 0.0447526 | 1.569882 | 0.0747819 | 0.9394828 | 87858.37 | 2495.849 | 3160.477 | 0.0284076 | 1.2662934 | 0.0573665 | 0.6020545 | 0.0597494 | 0.6020545 | 15158.84 | 958.9342 | 973.4222 | 0.0632591 | 1.0151085 | 0.1078869 | 0.5952049 | 0.0340091 | 4.475261 |
| 2022-05-31 | 303122.4 | 10425.244 | 17379.84 | 0.0343929 | 1.667092 | 0.0933505 | 0.6142021 | 197918.5 | 9001.333 | 13979.34 | 0.0454800 | 1.553030 | 0.0751670 | 0.9396643 | 88992.16 | 2462.105 | 3203.382 | 0.0276665 | 1.3010744 | 0.0551554 | 0.6048067 | 0.0595169 | 0.6048067 | 15344.47 | 954.6683 | 962.3630 | 0.0622158 | 1.0080601 | 0.1055352 | 0.5942783 | 0.0376056 | 4.548000 |
| 2022-06-30 | 309719.0 | 10096.725 | 17530.63 | 0.0325996 | 1.736269 | 0.0937286 | 0.6038894 | 201295.6 | 9408.462 | 14205.81 | 0.0467395 | 1.509898 | 0.0758376 | 0.9305658 | 90077.22 | 2432.363 | 3196.304 | 0.0270031 | 1.3140736 | 0.0555044 | 0.6548398 | 0.0541874 | 0.6548398 | 15443.41 | 932.7333 | 965.6609 | 0.0603968 | 1.0353023 | 0.1041158 | 0.6005714 | 0.0389621 | 4.673953 |
| 2022-07-31 | 313928.2 | 9770.875 | 17077.15 | 0.0311246 | 1.747760 | 0.0923382 | 0.5891195 | 203273.0 | 9684.069 | 14552.27 | 0.0476407 | 1.502702 | 0.0773110 | 0.9259971 | 91147.51 | 2439.123 | 3218.337 | 0.0267602 | 1.3194647 | 0.0550955 | 0.6579350 | 0.0536666 | 0.6579350 | 15583.60 | 943.4226 | 949.7981 | 0.0605395 | 1.0067578 | 0.1022413 | 0.5961249 | 0.0401901 | 4.764072 |
| 2022-08-31 | 317177.1 | 9702.176 | 17046.60 | 0.0305891 | 1.756987 | 0.0873612 | 0.6152010 | 206476.8 | 9906.596 | 14912.68 | 0.0479792 | 1.505328 | 0.0778167 | 0.9281356 | 92239.63 | 2407.026 | 3234.771 | 0.0260954 | 1.3438873 | 0.0534275 | 0.6653343 | 0.0527092 | 0.6653343 | 15833.67 | 920.6029 | 952.1255 | 0.0581421 | 1.0342412 | 0.0964776 | 0.6232839 | 0.0333981 | 4.797922 |
| 2022-09-30 | 321264.1 | 9596.128 | 17253.89 | 0.0298699 | 1.798006 | 0.0842501 | 0.6374623 | 209433.6 | 10333.439 | 15243.14 | 0.0493399 | 1.475127 | 0.0795668 | 0.9147366 | 93356.11 | 2427.181 | 3252.840 | 0.0259992 | 1.3401723 | 0.0541631 | 0.6674918 | 0.0522004 | 0.6674918 | 16161.22 | 913.5543 | 959.5589 | 0.0565276 | 1.0503579 | 0.0952088 | 0.6236208 | 0.0341520 | 4.933993 |
| 2022-10-31 | 326294.6 | 9808.847 | 17295.51 | 0.0300613 | 1.763257 | 0.0837350 | 0.6330189 | 211624.5 | 10829.600 | 15650.20 | 0.0511737 | 1.445132 | 0.0822700 | 0.8989019 | 94390.10 | 2427.532 | 3287.763 | 0.0257181 | 1.3543642 | 0.0544474 | 0.6582869 | 0.0529126 | 0.6582869 | 16372.58 | 919.2036 | 948.1452 | 0.0561429 | 1.0314855 | 0.0937691 | 0.6175867 | 0.0353395 | 5.117366 |
| 2022-11-30 | 329775.8 | 9655.929 | 17146.47 | 0.0292803 | 1.775745 | 0.0836255 | 0.6217520 | 213733.7 | 11611.730 | 15965.74 | 0.0543280 | 1.374967 | 0.0852429 | 0.8763099 | 95511.58 | 2490.703 | 3310.236 | 0.0260775 | 1.3290366 | 0.0553284 | 0.6556459 | 0.0528608 | 0.6556459 | 16578.23 | 931.2251 | 952.2903 | 0.0561716 | 1.0226209 | 0.0934347 | 0.6147848 | 0.0374853 | 5.432803 |
| 2022-12-31 | 333983.1 | 9172.619 | 16863.76 | 0.0274643 | 1.838489 | 0.0821774 | 0.6144372 | 213945.8 | 11777.185 | 17256.45 | 0.0550475 | 1.465244 | 0.0867802 | 0.9294527 | 96564.11 | 2382.158 | 3227.697 | 0.0246692 | 1.3549467 | 0.0516513 | 0.6579472 | 0.0508026 | 0.6579472 | 16670.59 | 928.3865 | 936.4187 | 0.0556901 | 1.0086518 | 0.0946538 | 0.5934461 | 0.0350308 | 5.504753 |
| 2023-01-31 | 332426.1 | 9875.015 | 16762.86 | 0.0297059 | 1.697503 | 0.0816378 | 0.6176776 | 213501.4 | 12601.060 | 17579.89 | 0.0590210 | 1.395112 | 0.0912861 | 0.9020090 | 96843.46 | 2443.780 | 3235.508 | 0.0252343 | 1.3239770 | 0.0544047 | 0.6495728 | 0.0514333 | 0.6495728 | 16799.80 | 1017.5703 | 981.6314 | 0.0605704 | 0.9646817 | 0.0992224 | 0.5888909 | 0.0374272 | 5.902098 |
| 2023-02-28 | 337008.0 | 10067.000 | 16793.00 | 0.0300000 | 1.668000 | 0.0810000 | 0.6130000 | 213330.0 | 13569.000 | 17942.00 | 0.0640000 | 1.322000 | 0.0970000 | 0.8650000 | 97331.00 | 2475.000 | 3254.000 | 0.0250000 | 1.3150000 | 0.0560000 | 0.6380000 | 0.0520000 | 0.6380000 | 16976.00 | 1049.0000 | 1034.0000 | 0.0620000 | 0.9860000 | 0.1000000 | 0.6070000 | 0.0383070 | 6.400000 |
| 2023-03-31 | 336602.0 | 10675.000 | 16678.00 | 0.0320000 | 1.562000 | 0.0830000 | 0.5960000 | 213107.0 | 14370.000 | 18508.00 | 0.0670000 | 1.288000 | 0.1020000 | 0.8480000 | 97813.00 | 2476.000 | 3266.000 | 0.0250000 | 1.3190000 | 0.0550000 | 0.6410000 | 0.0520000 | 0.6410000 | 17217.00 | 1074.0000 | 1068.0000 | 0.0620000 | 0.9940000 | 0.1020000 | 0.6080000 | 0.0379040 | 6.700000 |
| 2023-04-30 | 340826.8 | 11331.090 | 16660.91 | 0.0332459 | 1.470371 | 0.0829270 | 0.5894796 | 212897.3 | 15432.189 | 18929.79 | 0.0724866 | 1.226643 | 0.1072293 | 0.8292059 | 98152.76 | 2568.678 | 3291.144 | 0.0261702 | 1.2812598 | 0.0601910 | 0.6236208 | 0.0537680 | 0.6236208 | 17388.84 | 1142.0088 | 1109.6568 | 0.0656748 | 0.9716710 | 0.1055001 | 0.6048745 | 0.0401019 | 7.248655 |
| 2023-05-31 | 341235.0 | 11533.304 | 17028.79 | 0.0337990 | 1.476489 | 0.0824730 | 0.6050900 | 212875.0 | 15797.199 | 19509.62 | 0.0742090 | 1.235005 | 0.1105220 | 0.8292290 | 98749.28 | 2608.310 | 3293.323 | 0.0264130 | 1.2626270 | 0.0589930 | 0.6107150 | 0.0546090 | 0.6107150 | 17600.49 | 1175.2853 | 1140.0355 | 0.0667760 | 0.9700070 | 0.1065940 | 0.6076580 | 0.0406975 | 7.420900 |
| 2023-06-30 | 343485.6 | 11901.489 | 17129.65 | 0.0346490 | 1.439286 | 0.0842890 | 0.5916560 | 211899.7 | 15974.106 | 19709.32 | 0.0753850 | 1.233829 | 0.1123820 | 0.8276460 | 99389.00 | 2646.195 | 3309.915 | 0.0266250 | 1.2508210 | 0.0612560 | 0.6092410 | 0.0546620 | 0.6092410 | 17732.29 | 1189.3574 | 1142.1562 | 0.0670730 | 0.9603140 | 0.1088200 | 0.5919060 | 0.0421763 | 7.538500 |
| 2023-07-31 | 341425.6 | 12963.533 | 17255.15 | 0.0379690 | 1.331053 | 0.0892700 | 0.5661340 | 211233.4 | 15876.694 | 20018.05 | 0.0751620 | 1.260845 | 0.1129280 | 0.8391810 | 99867.13 | 2719.668 | 3322.767 | 0.0272330 | 1.2217550 | 0.0613550 | 0.5939620 | 0.0560170 | 0.5939620 | 17859.67 | 1326.6819 | 1162.7212 | 0.0742840 | 0.8764130 | 0.1182570 | 0.5505240 | 0.0381558 | 7.516200 |
| 2023-08-31 | 342653.8 | 12442.217 | 17394.00 | 0.0363110 | 1.397983 | 0.0865320 | 0.5866370 | 211380.8 | 16159.047 | 20054.55 | 0.0764450 | 1.241072 | 0.1145610 | 0.8281550 | 100671.83 | 2778.039 | 3334.710 | 0.0275950 | 1.2003820 | 0.0631410 | 0.5770020 | 0.0574080 | 0.5770020 | 18084.06 | 1357.2899 | 1201.7497 | 0.0750540 | 0.8854040 | 0.1191920 | 0.5575360 | 0.0397578 | 7.644500 |
| 2023-09-30 | 344232.7 | 12270.168 | 16669.00 | 0.0356450 | 1.358498 | 0.0835650 | 0.5794760 | 211082.0 | 16431.637 | 19880.52 | 0.0778450 | 1.209893 | 0.1165430 | 0.8081460 | 101593.71 | 2842.495 | 3378.425 | 0.0279790 | 1.1885420 | 0.0646230 | 0.5676600 | 0.0585810 | 0.5676600 | 18279.00 | 1367.8768 | 1157.4923 | 0.0748330 | 0.8461960 | 0.1210480 | 0.5231280 | 0.0403311 | 7.784500 |
| 2023-10-31 | 344594.8 | 12840.882 | 16785.32 | 0.0372640 | 1.307178 | 0.0840660 | 0.5794330 | 210561.0 | 17391.452 | 20154.65 | 0.0825960 | 1.158883 | 0.1213150 | 0.7890100 | 102538.90 | 2954.065 | 3409.338 | 0.0288090 | 1.1541170 | 0.0660340 | 0.5526960 | 0.0601580 | 0.5526960 | 18455.96 | 1449.6813 | 1191.0304 | 0.0785480 | 0.8215810 | 0.1260310 | 0.5120460 | 0.0403433 | 8.259600 |
| 2023-11-30 | 344083.5 | 12786.758 | 16975.71 | 0.0371620 | 1.327601 | 0.0877230 | 0.5624050 | 210618.1 | 17752.107 | 20156.76 | 0.0842860 | 1.135457 | 0.1227710 | 0.7795230 | 103578.97 | 3109.621 | 3427.037 | 0.0300220 | 1.1020760 | 0.0716290 | 0.5375780 | 0.0615470 | 0.5375780 | 18606.61 | 1526.3957 | 1259.3347 | 0.0820350 | 0.8250380 | 0.1294430 | 0.5228710 | 0.0399457 | 8.428600 |
| 2023-12-31 | 341707.5 | 11765.490 | 16533.35 | 0.0344310 | 1.405241 | 0.0861140 | 0.5618650 | 208832.6 | 17183.372 | 20108.31 | 0.0822830 | 1.170219 | 0.1218850 | 0.7899990 | 104555.72 | 3168.910 | 3457.791 | 0.0303080 | 1.0911610 | 0.0668560 | 0.5330530 | 0.0621210 | 0.5323690 | 18558.78 | 1590.4412 | 1276.5109 | 0.0856980 | 0.8026140 | 0.1370570 | 0.5018510 | 0.0399138 | 8.228300 |
| 2024-01-31 | 341728.7 | 12255.398 | 16531.48 | 0.0358620 | 1.348913 | 0.0862770 | 0.5607020 | 206881.3 | 17298.723 | 20110.28 | 0.0836160 | 1.162530 | 0.1235330 | 0.7868870 | 105111.25 | 3297.898 | 3478.855 | 0.0313750 | 1.0548700 | 0.0688220 | 0.5268150 | 0.0628250 | 0.5268150 | 18653.85 | 1801.1491 | 1343.7974 | 0.0965560 | 0.7460780 | 0.1470400 | 0.4899240 | 0.0373306 | 8.361600 |
| 2024-02-29 | 344575.5 | 12244.462 | 16461.77 | 0.0355340 | 1.344425 | 0.0850560 | 0.5616750 | 205563.3 | 17148.133 | 19926.76 | 0.0834190 | 1.162037 | 0.1263150 | 0.7674260 | 105671.20 | 3298.816 | 3486.302 | 0.0312170 | 1.0568340 | 0.0693250 | 0.5235980 | 0.0630090 | 0.5235980 | 18761.27 | 1804.9443 | 1371.6751 | 0.0962060 | 0.7599540 | 0.1472030 | 0.4966740 | 0.0386820 | 8.341900 |
| 2024-03-31 | 346018.6 | 12497.044 | 16833.34 | 0.0361170 | 1.346986 | 0.0871900 | 0.5579620 | 204330.6 | 17198.915 | 19961.70 | 0.0841720 | 1.160637 | 0.1286150 | 0.7595750 | 105732.78 | 3297.384 | 3499.315 | 0.0311860 | 1.0612400 | 0.0708940 | 0.5126240 | 0.0645620 | 0.5126240 | 19264.75 | 1936.2794 | 1429.3220 | 0.1005090 | 0.7381800 | 0.1538120 | 0.4823650 | 0.0413433 | 8.417200 |
| 2024-04-30 | 346159.6 | 13207.295 | 16866.83 | 0.0381540 | 1.277084 | 0.0876130 | 0.5561470 | 203793.2 | 16929.388 | 19864.63 | 0.0830710 | 1.173381 | 0.1274600 | 0.7647450 | 106236.90 | 3382.653 | 3533.518 | 0.0318410 | 1.0445990 | 0.0716940 | 0.5009350 | 0.0663970 | 0.5009350 | 19361.04 | 1917.2404 | 1439.2104 | 0.0990260 | 0.7506680 | 0.1515690 | 0.4904390 | 0.0437004 | 8.307100 |
| 2024-05-31 | 347843.8 | 13049.238 | 16900.06 | 0.0375150 | 1.295099 | 0.0880150 | 0.5520120 | 203063.1 | 16597.175 | 20095.41 | 0.0817340 | 1.210773 | 0.1272780 | 0.7775230 | 106961.21 | 3503.256 | 3581.978 | 0.0327530 | 1.0224710 | 0.0725220 | 0.5005490 | 0.0669040 | 0.5005490 | 19484.13 | 1912.1766 | 1469.0065 | 0.0981400 | 0.7682380 | 0.1499620 | 0.5027620 | 0.0408484 | 8.173400 |
Está representada por la serie cronológica o histórica del conjunto de datos numéricos que expresan la tasa de mora del SFC en períodos regulares y específicos a través del tiempo para conocer su evolución, tendencia y estacionalidad, la siguiente gráfica presenta periodicidad mensual de la IPC.
La observación del función de Autocorrelación ACF
permite conocer si estamos frente a una serie estacionario o
no, si los resultados se encuentran dentro de los límites de
significacia (espacio entre las líneas punteadas) estamos frente a
estacionalidad, en caso contrario se trata de una serie no
estacionaria.
Es de gran importancia realizar pruebas formales para comprobar si
estamos frente a una serie estacional o no, y la prueba de Dickey-Fuller
aumentada para la hipótesis nula de una raíz unitaria de una serie de
tiempo. Básicamente el resultado del p-value si es
< .05 es una serie que no tiene raices unitarias, es
decir que es Estacionaria, de lo contrario si
p-value es >.05 es una serie de raices
unitarias, es decir, una serie No estacionaria.
##
## Augmented Dickey-Fuller Test
##
## data: ts_mora
## Dickey-Fuller = -1.5956, Lag order = 4, p-value = 0.7443
## alternative hypothesis: stationary
En el análisis de Series temporales, la metodología de Box-Jenkins, nombrada así en honor a los estadísticos George E. P. Box y Gwilym Jenkins, se aplica a los modelos autorregresivos de media móvil (ARMA) o a los modelos autorregresivos integrados de media móvil (ARIMA) para encontrar el mejor ajuste de una serie temporal de valores, a fin de que los pronósticos sean más acertados.
La función auto.arima de la librería
forecast de R, proporciona una opción rápida
para construir pronósticos con series temporales, debido a que evalúa
entre todos los posibles modelos, al mejor modelo considerando diversos
criterios: estacionariedad, estacionalidad,
diferencias, entre otras.
En estadística y econometría, en particular en series temporales, un modelo autorregresivo integrado de promedio móvil o ARIMA (acrónimo del inglés autoregressive integrated moving average) es un modelo estadístico que utiliza variaciones y regresiones de datos estadísticos con el fin de encontrar patrones para una predicción hacia el futuro. Se trata de un modelo dinámico de series temporales, es decir, las estimaciones futuras vienen explicadas por los datos del pasado y no por variables independientes. Fuente wikipedia
## Series: ts_mora
## ARIMA(3,1,0)(2,1,0)[12]
##
## Coefficients:
## ar1 ar2 ar3 sar1 sar2
## 0.5976 0.2841 -0.3279 -0.6115 -0.3565
## s.e. 0.1033 0.1226 0.1054 0.1029 0.0955
##
## sigma^2 = 0.05317: log likelihood = 3.42
## AIC=5.16 AICc=6.19 BIC=20.02
##
## Training set error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set 0.008755982 0.2090231 0.1303975 0.1831675 2.405506 0.1086279
## ACF1
## Training set -0.04789535
Al llevar a cabo el modelo de pronóstico ARIMA siempre es necesario analizar el comportamiento de los residuos, en este caso nos interesa analizar si estos residuos se comportan como ruido blanco.
Aplicamos la prueba Box-Pierce o Ljung-Box para examinar la hipótesis nula de independencia en una serie de tiempo.
##
## Box-Ljung test
##
## data: residuals(modelo_mora)
## X-squared = 0.23864, df = 1, p-value = 0.6252
##
## Ljung-Box test
##
## data: Residuals from ARIMA(3,1,0)(2,1,0)[12]
## Q* = 20.381, df = 15, p-value = 0.1578
##
## Model df: 5. Total lags used: 20
La prueba de normalidad de Shapiro-Wilk otorga brinda la distribución de los residuales, y lo que se espera que tengan promedio alrededor de “0”.
##
## Shapiro-Wilk normality test
##
## data: modelo_mora$residuals
## W = 0.85339, p-value = 0.00000001403
forecast##
## Forecast method: ARIMA(3,1,0)(2,1,0)[12]
##
## Model Information:
## Series: ts_mora
## ARIMA(3,1,0)(2,1,0)[12]
##
## Coefficients:
## ar1 ar2 ar3 sar1 sar2
## 0.5976 0.2841 -0.3279 -0.6115 -0.3565
## s.e. 0.1033 0.1226 0.1054 0.1029 0.0955
##
## sigma^2 = 0.05317: log likelihood = 3.42
## AIC=5.16 AICc=6.19 BIC=20.02
##
## Error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set 0.008755982 0.2090231 0.1303975 0.1831675 2.405506 0.1086279
## ACF1
## Training set -0.04789535
##
## Forecasts:
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## Jun 2024 7.955473 7.659977 8.250970 7.503551 8.407396
## Jul 2024 7.860214 7.303265 8.417163 7.008434 8.711994
## Aug 2024 7.809246 6.944428 8.674065 6.486621 9.131872
## Sep 2024 7.882396 6.751856 9.012937 6.153384 9.611409
## Oct 2024 8.081035 6.716619 9.445451 5.994341 10.167729
## Nov 2024 8.212546 6.659420 9.765671 5.837245 10.587846
## Dec 2024 8.043943 6.333194 9.754692 5.427579 10.660307
## Jan 2025 8.244294 6.401670 10.086918 5.426244 11.062344
## Feb 2025 8.362548 6.403552 10.321545 5.366522 11.358575
## Mar 2025 8.426595 6.361836 10.491354 5.268819 11.584371
## Apr 2025 8.545397 6.380766 10.710028 5.234880 11.855914
## May 2025 8.560083 6.299621 10.820545 5.103005 12.017161
Los pronósticos se basan en patrones de los datos existentes en la serie analizada, tomando en cuenta la autocorrelación (dependencia) entre los datos, tendencia, estacionalidad y cambios estructurales.
| Point Forecast | Lo 80 | Hi 80 | Lo 95 | Hi 95 | |
|---|---|---|---|---|---|
| Jun 2024 | 7.955473 | 7.659977 | 8.250970 | 7.503551 | 8.407396 |
| Jul 2024 | 7.860214 | 7.303265 | 8.417163 | 7.008434 | 8.711994 |
| Aug 2024 | 7.809246 | 6.944428 | 8.674065 | 6.486621 | 9.131872 |
| Sep 2024 | 7.882396 | 6.751856 | 9.012937 | 6.153384 | 9.611409 |
| Oct 2024 | 8.081035 | 6.716619 | 9.445451 | 5.994341 | 10.167729 |
| Nov 2024 | 8.212546 | 6.659420 | 9.765671 | 5.837245 | 10.587846 |
| Dec 2024 | 8.043943 | 6.333195 | 9.754692 | 5.427579 | 10.660308 |
| Jan 2025 | 8.244294 | 6.401670 | 10.086918 | 5.426244 | 11.062344 |
| Feb 2025 | 8.362548 | 6.403552 | 10.321545 | 5.366522 | 11.358575 |
| Mar 2025 | 8.426595 | 6.361836 | 10.491354 | 5.268819 | 11.584371 |
| Apr 2025 | 8.545397 | 6.380767 | 10.710028 | 5.234880 | 11.855914 |
| May 2025 | 8.560083 | 6.299621 | 10.820545 | 5.103005 | 12.017162 |
Gráfica de la serie histórica con el pronóstico incorporado
Conclusión
Para el pronóstico de los próximos 12 meses de la mora del SFC, se aplicaron técnicas de análisis de series temporales evaluando su estacionalidad y finalmente se realizó en forecast, que muestra los resultados con 80% y 95% de intérvalo de confianza.
Gráfica de la serie histórica con el pronóstico incorporado