library(car)
## Loading required package: carData
library(urca)
library(forecast)
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo
library(tseries)
library(highcharter)
library(readxl)
Divisa <- read_excel("C:/Users/user/Desktop/Divisa.xlsx")
summary(Divisa)
##      Dólar     
##  Min.   :3707  
##  1st Qu.:3912  
##  Median :4042  
##  Mean   :4142  
##  3rd Qu.:4396  
##  Max.   :5092
Divisa<- ts(Divisa,frequency = 365 )
length(Divisa)
## [1] 307
autoplot(Divisa)

acf(Divisa, lag.max=30)

pacf(Divisa, lag.max=30)

adf.test(Divisa)
## 
##  Augmented Dickey-Fuller Test
## 
## data:  Divisa
## Dickey-Fuller = -1.4074, Lag order = 6, p-value = 0.8261
## alternative hypothesis: stationary
adf.test(diff(Divisa))
## Warning in adf.test(diff(Divisa)): p-value smaller than printed p-value
## 
##  Augmented Dickey-Fuller Test
## 
## data:  diff(Divisa)
## Dickey-Fuller = -8.055, Lag order = 6, p-value = 0.01
## alternative hypothesis: stationary
plot(ur.pp(diff(Divisa,12),type="Z-tau",
           model="constant", lags="long"))

library(TSstudio)
ts_cor(diff(diff(Divisa)))
modelUS<-stats::arima(x = Divisa, order = c(1, 2, 3), fixed = c(NA,NA,NA,NA))
summary(modelUS)
## 
## Call:
## stats::arima(x = Divisa, order = c(1, 2, 3), fixed = c(NA, NA, NA, NA))
## 
## Coefficients:
##           ar1      ma1      ma2      ma3
##       -0.5087  -0.3273  -0.6301  -0.0239
## s.e.   0.4504   0.4514   0.3566   0.1054
## 
## sigma^2 estimated as 1411:  log likelihood = -1540.49,  aic = 3090.97
## 
## Training set error measures:
##                    ME     RMSE      MAE        MPE      MAPE     MASE
## Training set 1.996547 37.43663 24.16656 0.04202562 0.5732063 1.039226
##                      ACF1
## Training set -0.004539308
BIC(modelUS)
## [1] 3109.573
et1<-residuals(modelUS) 
et1
## Time Series:
## Start = c(1, 1) 
## End = c(1, 307) 
## Frequency = 365 
##   [1]  1.780429e+00 -5.341267e+00 -6.977430e-03 -5.180409e-03  8.940244e+01
##   [6] -3.460426e+01 -4.666002e+01 -9.093211e+00 -2.539208e+00 -7.027398e+00
##  [11] -5.260204e+00 -5.334815e+00 -3.515979e+01 -3.731400e+01 -1.413714e+01
##  [16]  4.537023e+01 -7.804378e+00  3.094429e+00 -2.773020e+00  3.976623e+01
##  [21] -3.818488e+01 -1.541313e+01 -1.702337e+01  4.331529e+00 -1.173075e+00
##  [26]  1.490882e+01  7.098037e+00 -3.912100e+01  3.411941e+00  3.696911e+01
##  [31] -4.425875e+00  2.063732e+00 -4.066953e+01 -1.082095e+01  5.426101e+00
##  [36]  2.519559e+01  7.619924e+00  7.836025e-01  1.413539e-01  1.858578e+00
##  [41]  1.677060e+00 -2.557622e+01 -1.637653e+01  2.513023e+00  1.021795e+00
##  [46]  1.612459e+00  2.251686e+01  5.506520e+00  1.781438e+01 -1.304348e+01
##  [51] -2.217700e+01  3.279951e+00  7.411014e-02  1.543666e+00  5.739235e+00
##  [56] -1.825279e+01  3.059560e+01 -3.443887e+01  8.779089e+00 -3.008402e+00
##  [61]  3.349080e+00 -9.051938e+00 -3.497520e+01 -8.429637e+01  4.938797e+01
##  [66] -8.324500e+00  8.817708e+00  6.068212e+00 -2.245445e+01 -3.468118e+01
##  [71]  4.766020e+01  3.587218e+01  8.927538e-02  2.508383e+00 -2.500259e+01
##  [76]  4.226716e+01 -1.554401e+01 -2.927773e+00  4.580964e+00  2.502436e+00
##  [81]  1.458592e+00  2.149186e+00 -5.321331e+01  2.145735e+00  4.188301e+01
##  [86] -1.573117e+01  6.282247e+00 -1.206161e-01  3.569166e+00 -1.849504e+01
##  [91] -1.186833e+01  1.125626e+01  1.966266e+01 -4.719400e-02  3.072755e+00
##  [96] -6.630092e+01  3.052441e+01  1.721205e+01  2.876213e+01  2.482344e+00
## [101]  3.686118e+00  6.073012e-01 -3.063471e+01 -6.145246e-01  1.735434e+00
## [106]  2.933188e+00  1.714311e+00  2.442222e+00  1.941462e+00 -3.796139e+00
## [111]  2.750817e+01  4.125602e-01  4.383504e+00  5.995341e+01 -7.399244e+00
## [116]  5.144199e+00  1.110185e+02 -2.360313e-01  2.447754e+01  1.016326e+01
## [121] -1.835920e+01  1.210622e+00 -1.508626e+00  3.760285e+01  5.033161e+00
## [126]  4.006246e+01  2.085712e+01 -3.494073e+01  3.393871e+00 -4.037372e+00
## [131]  3.179453e+01 -6.773133e+00 -5.331601e+00  2.678511e+01 -5.145402e+00
## [136] -2.932027e-01 -3.111230e+00 -4.157991e+01 -3.212959e+01  2.247652e+01
## [141] -9.447054e+00 -5.943655e+01  7.118346e+00 -4.279825e+00 -3.780662e+01
## [146]  2.545048e+01 -1.801853e+01 -2.354667e+01 -1.691561e+01  2.652638e+00
## [151] -9.131384e-01  9.678757e-01 -1.359623e+02  3.811089e+01 -1.830163e+01
## [156] -2.993645e+00 -1.595854e+00  3.945077e+00  2.807289e+01 -1.069029e+01
## [161] -3.887307e+00  5.176895e+01  7.264193e+01 -8.426297e+00  3.965509e+00
## [166]  1.016845e+02 -5.274785e+01 -4.304330e+01 -1.055930e+01 -4.970916e+00
## [171]  1.913168e-01  2.905259e-01  9.670824e-02  1.220597e+02 -2.030243e+01
## [176]  5.067575e+01  4.725907e+01 -4.622508e+00 -1.620071e+00 -2.311988e+00
## [181] -4.202827e+01  4.223107e+01  1.289105e+01  4.649885e+01 -1.110653e+01
## [186]  1.775418e+00 -5.303959e+00  6.019789e+01  7.517913e+01  8.685585e+00
## [191]  1.469902e+01 -7.739783e+00 -2.509461e+00  1.196463e+02  9.011118e+01
## [196] -8.429946e+01 -3.031714e+01 -1.306980e+02  1.660239e+01 -1.454470e+01
## [201] -7.763119e+01 -6.813837e+00 -4.747197e+00  1.052262e+02 -7.485750e+00
## [206]  2.662919e+00 -8.308367e+00  3.654663e+01 -2.838949e+01 -2.176540e+01
## [211] -4.899364e+01 -7.105344e+01  5.333126e+00 -5.933014e+00 -5.458374e+01
## [216]  7.251947e+01  1.599323e+00 -6.094586e+01  7.357505e+01 -1.620813e+01
## [221]  4.506277e+00 -3.716582e+01  7.724310e+00 -4.256781e+01 -3.601509e+01
## [226] -4.531103e+01  5.600121e+00 -4.196879e+00  1.072152e+00  3.082842e+01
## [231]  9.243716e+01  8.215278e+01 -2.544699e+01  2.789342e+00 -6.233337e+00
## [236] -1.980313e+00 -2.868130e+01  7.653024e+00  2.189426e+01 -2.518710e+01
## [241]  1.406892e+00 -4.747399e+00 -3.158860e+00  1.096697e+01  1.816219e+01
## [246]  3.879009e+01 -9.148163e+00 -4.862134e-01 -4.843096e+00 -2.109781e+00
## [251]  9.616189e+00 -3.860565e+01 -4.651681e+01 -2.911834e+01  9.188915e-01
## [256] -3.199983e+00 -1.957337e+01  6.762327e+01 -3.791207e+01  2.233646e+01
## [261]  2.120090e+01 -2.772746e+00 -2.886084e+00 -2.291418e+01  6.071463e+00
## [266] -2.112327e+01 -2.219874e+01  4.646524e+01 -9.996702e+00  1.734242e+00
## [271]  6.589769e+01  4.720023e+01 -7.754059e+01  5.497308e+01  4.190122e+01
## [276] -5.187561e+00 -3.725179e+00 -4.836528e+01 -5.716773e+01  6.763732e+01
## [281]  6.314887e+01 -3.171080e+01  1.950185e+00 -6.478970e+00 -1.649550e+00
## [286]  2.014561e+00 -4.472650e+00  5.357783e+00  1.216399e+01 -5.501658e+00
## [291] -2.681179e+00 -4.053178e+00  1.040609e+02  4.981372e+01  1.008672e+02
## [296]  1.391575e+01 -4.587547e+01  7.904693e+01 -7.178009e+01 -4.379407e+01
## [301] -7.925293e+01  5.184077e+00 -1.073531e+01  1.857079e+02 -2.353099e+01
## [306]  4.626459e+01  1.125084e+01
autoplot(et1)

fitted(modelUS)
## Time Series:
## Start = c(1, 1) 
## End = c(1, 307) 
## Frequency = 365 
##               x
##   [1,] 3979.380
##   [2,] 3986.501
##   [3,] 3981.167
##   [4,] 3981.165
##   [5,] 3993.348
##   [6,] 4118.714
##   [7,] 4089.020
##   [8,] 4048.403
##   [9,] 4045.999
##  [10,] 4050.487
##  [11,] 4048.720
##  [12,] 4048.795
##  [13,] 4046.810
##  [14,] 4007.394
##  [15,] 3964.537
##  [16,] 3948.280
##  [17,] 4001.454
##  [18,] 3990.556
##  [19,] 3996.423
##  [20,] 3993.604
##  [21,] 4042.135
##  [22,] 3996.213
##  [23,] 3981.323
##  [24,] 3959.968
##  [25,] 3965.473
##  [26,] 3962.601
##  [27,] 3980.222
##  [28,] 3986.951
##  [29,] 3940.628
##  [30,] 3945.631
##  [31,] 3987.026
##  [32,] 3980.536
##  [33,] 3983.400
##  [34,] 3934.431
##  [35,] 3922.624
##  [36,] 3926.764
##  [37,] 3955.060
##  [38,] 3961.896
##  [39,] 3962.539
##  [40,] 3961.981
##  [41,] 3963.733
##  [42,] 3964.886
##  [43,] 3934.127
##  [44,] 3915.007
##  [45,] 3916.498
##  [46,] 3915.908
##  [47,] 3916.453
##  [48,] 3941.373
##  [49,] 3945.906
##  [50,] 3966.303
##  [51,] 3949.427
##  [52,] 3923.970
##  [53,] 3927.176
##  [54,] 3925.706
##  [55,] 3926.661
##  [56,] 3932.043
##  [57,] 3909.604
##  [58,] 3945.079
##  [59,] 3901.861
##  [60,] 3913.648
##  [61,] 3906.931
##  [62,] 3910.672
##  [63,] 3897.925
##  [64,] 3856.066
##  [65,] 3756.722
##  [66,] 3814.434
##  [67,] 3797.292
##  [68,] 3807.342
##  [69,] 3809.634
##  [70,] 3781.111
##  [71,] 3738.340
##  [72,] 3791.768
##  [73,] 3827.551
##  [74,] 3825.132
##  [75,] 3825.853
##  [76,] 3794.293
##  [77,] 3842.434
##  [78,] 3819.358
##  [79,] 3816.089
##  [80,] 3818.168
##  [81,] 3819.211
##  [82,] 3818.521
##  [83,] 3818.883
##  [84,] 3754.494
##  [85,] 3757.017
##  [86,] 3801.391
##  [87,] 3779.378
##  [88,] 3785.781
##  [89,] 3782.131
##  [90,] 3784.455
##  [91,] 3760.018
##  [92,] 3744.774
##  [93,] 3755.127
##  [94,] 3774.837
##  [95,] 3771.717
##  [96,] 3773.251
##  [97,] 3693.266
##  [98,] 3729.298
##  [99,] 3743.068
## [100,] 3774.928
## [101,] 3773.724
## [102,] 3776.803
## [103,] 3774.795
## [104,] 3737.315
## [105,] 3735.585
## [106,] 3734.387
## [107,] 3735.606
## [108,] 3734.878
## [109,] 3735.379
## [110,] 3735.106
## [111,] 3728.342
## [112,] 3758.237
## [113,] 3755.156
## [114,] 3759.117
## [115,] 3826.469
## [116,] 3813.926
## [117,] 3820.722
## [118,] 3947.866
## [119,] 3942.842
## [120,] 3974.607
## [121,] 3984.629
## [122,] 3965.059
## [123,] 3967.779
## [124,] 3966.467
## [125,] 4011.307
## [126,] 4016.348
## [127,] 4065.223
## [128,] 4088.871
## [129,] 4050.536
## [130,] 4057.967
## [131,] 4053.965
## [132,] 4093.483
## [133,] 4085.652
## [134,] 4082.925
## [135,] 4115.675
## [136,] 4110.823
## [137,] 4113.641
## [138,] 4111.830
## [139,] 4065.980
## [140,] 4032.233
## [141,] 4060.327
## [142,] 4049.277
## [143,] 3982.722
## [144,] 3994.120
## [145,] 3988.157
## [146,] 3945.830
## [147,] 3977.069
## [148,] 3954.437
## [149,] 3929.256
## [150,] 3909.687
## [151,] 3913.253
## [152,] 3911.372
## [153,] 3912.482
## [154,] 3753.629
## [155,] 3803.282
## [156,] 3774.624
## [157,] 3773.226
## [158,] 3767.685
## [159,] 3771.427
## [160,] 3801.570
## [161,] 3786.537
## [162,] 3781.571
## [163,] 3839.868
## [164,] 3920.936
## [165,] 3908.544
## [166,] 3914.816
## [167,] 4032.048
## [168,] 3967.003
## [169,] 3922.709
## [170,] 3910.021
## [171,] 3904.859
## [172,] 3904.759
## [173,] 3904.953
## [174,] 3904.860
## [175,] 4046.822
## [176,] 4018.074
## [177,] 4082.611
## [178,] 4134.493
## [179,] 4131.490
## [180,] 4132.182
## [181,] 4131.748
## [182,] 4085.239
## [183,] 4138.319
## [184,] 4152.271
## [185,] 4209.877
## [186,] 4196.995
## [187,] 4204.074
## [188,] 4199.662
## [189,] 4273.501
## [190,] 4361.014
## [191,] 4373.571
## [192,] 4396.010
## [193,] 4390.779
## [194,] 4393.634
## [195,] 4537.349
## [196,] 4642.349
## [197,] 4549.967
## [198,] 4526.328
## [199,] 4379.028
## [200,] 4410.175
## [201,] 4393.041
## [202,] 4310.154
## [203,] 4308.087
## [204,] 4304.914
## [205,] 4431.346
## [206,] 4421.197
## [207,] 4432.168
## [208,] 4425.083
## [209,] 4473.399
## [210,] 4442.515
## [211,] 4424.504
## [212,] 4371.353
## [213,] 4294.967
## [214,] 4306.233
## [215,] 4300.574
## [216,] 4240.781
## [217,] 4329.551
## [218,] 4329.246
## [219,] 4263.705
## [220,] 4353.488
## [221,] 4332.774
## [222,] 4344.256
## [223,] 4301.966
## [224,] 4316.388
## [225,] 4267.465
## [226,] 4230.801
## [227,] 4179.890
## [228,] 4189.687
## [229,] 4184.418
## [230,] 4187.652
## [231,] 4224.033
## [232,] 4331.707
## [233,] 4425.697
## [234,] 4397.461
## [235,] 4406.483
## [236,] 4401.140
## [237,] 4403.131
## [238,] 4372.537
## [239,] 4386.056
## [240,] 4413.207
## [241,] 4386.613
## [242,] 4392.767
## [243,] 4389.289
## [244,] 4389.193
## [245,] 4404.608
## [246,] 4428.240
## [247,] 4475.878
## [248,] 4467.216
## [249,] 4471.573
## [250,] 4468.840
## [251,] 4470.484
## [252,] 4484.966
## [253,] 4443.207
## [254,] 4394.438
## [255,] 4364.401
## [256,] 4368.520
## [257,] 4366.483
## [258,] 4346.267
## [259,] 4427.712
## [260,] 4382.304
## [261,] 4414.639
## [262,] 4438.613
## [263,] 4438.726
## [264,] 4438.024
## [265,] 4414.309
## [266,] 4424.943
## [267,] 4401.999
## [268,] 4380.005
## [269,] 4436.467
## [270,] 4424.736
## [271,] 4431.092
## [272,] 4509.220
## [273,] 4564.481
## [274,] 4477.097
## [275,] 4548.639
## [276,] 4595.728
## [277,] 4594.265
## [278,] 4594.025
## [279,] 4541.908
## [280,] 4481.253
## [281,] 4564.461
## [282,] 4637.001
## [283,] 4603.340
## [284,] 4611.769
## [285,] 4606.940
## [286,] 4609.865
## [287,] 4615.653
## [288,] 4614.422
## [289,] 4624.666
## [290,] 4642.332
## [291,] 4639.511
## [292,] 4640.883
## [293,] 4639.979
## [294,] 4765.276
## [295,] 4822.763
## [296,] 4946.214
## [297,] 4963.975
## [298,] 4919.853
## [299,] 5019.920
## [300,] 4939.084
## [301,] 4901.173
## [302,] 4814.236
## [303,] 4830.155
## [304,] 4820.292
## [305,] 5043.531
## [306,] 5012.735
## [307,] 5080.529
plot(scale(et1),type="l",main="Residuales")
abline(h=2*sqrt(var(scale(et1))),col="red",lty=2)
abline(h=-2*sqrt(var(scale(et1))),col="red",lty=2)

acf(et1)

pacf(et1)

qqPlot(scale(et1))

## [1] 304 153
tsdiag(modelUS)

plot(forecast(modelUS,h=30, fan=T))
lines(fitted(modelUS), col="purple") 

pronostico1<-forecast(modelUS,h=60)
pronostico1
##          Point Forecast    Lo 80    Hi 80    Lo 95    Hi 95
## 1.841096       5095.454 5047.321 5143.587 5021.841 5169.067
## 1.843836       5105.739 5031.874 5179.603 4992.773 5218.705
## 1.846575       5112.392 5020.856 5203.929 4972.399 5252.385
## 1.849315       5120.893 5013.603 5228.182 4956.807 5284.978
## 1.852055       5128.453 5007.474 5249.433 4943.432 5313.475
## 1.854795       5136.492 5002.828 5270.157 4932.070 5340.915
## 1.857534       5144.288 4998.874 5289.702 4921.897 5366.679
## 1.860274       5152.207 4995.673 5308.742 4912.809 5391.606
## 1.863014       5160.064 4992.955 5327.173 4904.493 5415.635
## 1.865753       5167.952 4990.694 5345.211 4896.859 5439.046
## 1.868493       5175.825 4988.780 5362.869 4889.765 5461.884
## 1.871233       5183.705 4987.178 5380.232 4883.143 5484.267
## 1.873973       5191.581 4985.833 5397.330 4876.916 5506.246
## 1.876712       5199.460 4984.715 5414.204 4871.036 5527.883
## 1.879452       5207.337 4983.793 5430.881 4865.456 5549.218
## 1.882192       5215.215 4983.044 5447.385 4860.141 5570.289
## 1.884932       5223.092 4982.448 5463.737 4855.059 5591.126
## 1.887671       5230.970 4981.988 5479.952 4850.185 5611.756
## 1.890411       5238.848 4981.649 5496.047 4845.496 5632.200
## 1.893151       5246.725 4981.418 5512.033 4840.973 5652.478
## 1.895890       5254.603 4981.285 5527.922 4836.599 5672.608
## 1.898630       5262.481 4981.239 5543.722 4832.359 5692.602
## 1.901370       5270.358 4981.274 5559.443 4828.242 5712.475
## 1.904110       5278.236 4981.380 5575.092 4824.234 5732.238
## 1.906849       5286.114 4981.552 5590.676 4820.326 5751.901
## 1.909589       5293.992 4981.783 5606.200 4816.509 5771.474
## 1.912329       5301.869 4982.068 5621.671 4812.775 5790.964
## 1.915068       5309.747 4982.402 5637.092 4809.115 5810.378
## 1.917808       5317.625 4982.780 5652.469 4805.525 5829.724
## 1.920548       5325.502 4983.200 5667.804 4801.996 5849.008
## 1.923288       5333.380 4983.657 5683.103 4798.524 5868.235
## 1.926027       5341.258 4984.147 5698.368 4795.104 5887.411
## 1.928767       5349.135 4984.668 5713.602 4791.731 5906.539
## 1.931507       5357.013 4985.218 5728.808 4788.401 5925.625
## 1.934247       5364.891 4985.793 5743.989 4785.110 5944.671
## 1.936986       5372.768 4986.390 5759.146 4781.854 5963.682
## 1.939726       5380.646 4987.009 5774.283 4778.630 5982.662
## 1.942466       5388.524 4987.647 5789.401 4775.435 6001.612
## 1.945205       5396.401 4988.301 5804.501 4772.266 6020.536
## 1.947945       5404.279 4988.971 5819.587 4769.120 6039.438
## 1.950685       5412.157 4989.655 5834.659 4765.995 6058.318
## 1.953425       5420.034 4990.350 5849.719 4762.889 6077.180
## 1.956164       5427.912 4991.056 5864.768 4759.799 6096.025
## 1.958904       5435.790 4991.772 5879.807 4756.723 6114.856
## 1.961644       5443.667 4992.496 5894.839 4753.660 6133.675
## 1.964384       5451.545 4993.227 5909.863 4750.608 6152.483
## 1.967123       5459.423 4993.963 5924.882 4747.564 6171.281
## 1.969863       5467.300 4994.705 5939.896 4744.528 6190.073
## 1.972603       5475.178 4995.450 5954.906 4741.498 6208.858
## 1.975342       5483.056 4996.199 5969.913 4738.472 6227.639
## 1.978082       5490.933 4996.950 5984.917 4735.450 6246.417
## 1.980822       5498.811 4997.702 5999.921 4732.430 6265.192
## 1.983562       5506.689 4998.454 6014.923 4729.411 6283.967
## 1.986301       5514.566 4999.207 6029.926 4726.392 6302.741
## 1.989041       5522.444 4999.958 6044.930 4723.371 6321.517
## 1.991781       5530.322 5000.709 6059.935 4720.348 6340.295
## 1.994521       5538.200 5001.457 6074.942 4717.323 6359.076
## 1.997260       5546.077 5002.203 6089.952 4714.293 6377.862
## 2.000000       5553.955 5002.945 6104.965 4711.258 6396.652
## 2.002740       5561.833 5003.684 6119.981 4708.218 6415.447

En un contexto mundial de alta inflación y escasez de recursos e interrupciones en la cadena de suministro por cuenta de la guerra de Rusia en Ucrania, la devaluación del peso colombiano y otras monedas es una realidad.

Los operadores de mercado van a sentir un efecto de crecimiento en la demanda por parte de unos individuos que se pueden sentir nerviosos ante el nuevo presidente y sus políticas económicas.

En los últimos días hemos tenido una composición mixta en la que los bancos centrales siguen agresivos anunciando más subidas de tasas de interés, esto genera que el dólar se fortalezca frente al grueso de monedas internacionales, tanto las de países desarrollados como las de los emergentes.

un análisis sobre el impacto estimado de una supuesta suspensión de nuevas exploraciones de hidrocarburos a partir de 2023 y hasta 2027, el peso colombiano se devaluaría entre 39,9% y 43,7% para 2027 y la tasa de cambio se situaría entre 5.080 y 7.000.

El dólar sigue alcanzando su máximo en Colombia ya que nuevamente muchos pesos se están convirtiendo en dólares, básicamente por la subida de tasas de interés de EE.UU. Además varios inversionistas han preferido irse del país por inestabilidades económicas futuras y refugiarse en otros países más estables.

Hay contratos en el mercado de futuros en Colombia que se están negociando en $5.200. Sobre eso lo que están haciendo los inversionistas es realizando adquisiciones bajo esos compromisos.

La tasa promedio de negociación del dólar en Colombia se situó sobre los 4.968,75 pesos este lunes, 55,5 pesos por encima del precio oficial del la divida estadounidense de 4.913,24 peso 2022/10/24.

El dólar, en el mercado interbancario colombiano alcanzó ha llegar al nivel récord de 4.999 pesos durante la mañana. Para el mediodía de hoy, el precio promedio era de 4.965,56 y cerró la jornada en 4.967,09 pesos.

Un día después de aprobada la reforma tributaria, el mercado registró una sesión de alta volatilidad con fuertes bajas y alzas

De acuerdo con la Bolsa de Valores de Colombia, la moneda extranjera cerró en un precio promedio de $5.069, es decir, subió 11 pesos frente a la TRM del día que fue de $5.058, un día después de que el Congreso aprobara la reforma tributaria.

La cotización del dólar en Colombia para el día Viernes 4 de Noviembre del 2022 subió 42.18 Pesos, correspondiente a un aumento del 0.84% con respecto al día anterior.

La devaluación del peso frente al dólar ha sido explicada hasta la saciedad por los expertos: se conjugan la subida de las tasas de interés en Estados Unidos, la crisis post pandemia con los insumos y el nerviosismo por lo que ocurre con el gobierno colombiano; ni todo es culpa solo de ellos, como tampoco es real que no lleven responsabilidad. La moneda colombiana es una de las más devaluadas del mundo y a esta crisis se le suma la inflación.