TRV

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.09 -0.07 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.11 -0.01


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.098 0.108


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -1.038 0.053 -19.737 0.0000
|log-return| -49.916 2.222 -22.462 0.0000
I(right-tail) 0.083 0.071 1.158 0.2472
|log-return|*I(right-tail) 1.515 3.023 0.501 0.6162


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.029 0.719 0.958 0.775







BAC

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.21 -0.14 -0.07 -0.04 -0.02 0.00 0.02 0.06 0.17 0.23 0.85


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace 0.094 0.144


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.967 0.050 -19.372 0.0000
|log-return| -23.377 0.993 -23.541 0.0000
I(right-tail) -0.029 0.071 -0.401 0.6883
|log-return|*I(right-tail) -0.682 1.435 -0.475 0.6346


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.469 0.432 0.323 0.770







JPM

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.13 -0.10 -0.05 -0.03 -0.01 0.00 0.01 0.05 0.13 0.16 0.37


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace 0.040 0.158


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.896 0.052 -17.238 0.0000
|log-return| -35.569 1.484 -23.964 0.0000
I(right-tail) -0.039 0.073 -0.540 0.5894
|log-return|*I(right-tail) 2.269 2.045 1.110 0.2673


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.263 0.321 0.576 0.767







JNJ

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.05 -0.03 -0.02 -0.01 0.00 0.00 0.01 0.02 0.03 0.04 1.13


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.300 0.133


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.912 0.054 -16.902 0.0000
|log-return| -110.238 4.695 -23.478 0.0000
I(right-tail) 0.031 0.075 0.418 0.6761
|log-return|*I(right-tail) 10.605 6.355 1.669 0.0954


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.847 0.903 0.967 0.764







UTX

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.05 0.07 0.06


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.275 0.193


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.794 0.057 -14.049 0.0000
|log-return| -73.320 3.064 -23.927 0.0000
I(right-tail) 0.032 0.078 0.408 0.6830
|log-return|*I(right-tail) 2.389 4.228 0.565 0.5721


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.501 0.669 0.827 0.733







CSCO

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.10 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.07 1.87


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace 0.150 0.149


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.916 0.053 -17.133 0.0000
|log-return| -52.669 2.263 -23.273 0.0000
I(right-tail) 0.115 0.076 1.507 0.1321
|log-return|*I(right-tail) -8.144 3.387 -2.404 0.0164


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.435 0.226 0.391 0.719







HPQ

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.08 -0.07 -0.04 -0.02 -0.01 0.00 0.01 0.03 0.06 0.08 0.91


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic 0.426 0.098


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.878 0.054 -16.232 0.0000
|log-return| -49.042 2.099 -23.363 0.0000
I(right-tail) 0.143 0.078 1.848 0.0648
|log-return|*I(right-tail) -12.365 3.290 -3.758 0.0002


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.612 0.681 0.750 0.713







MMM

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.05 -0.03 -0.02 -0.01 0.00 0.01 0.02 0.05 0.07 1.31


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.088 0.139


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.843 0.057 -14.853 0.0000
|log-return| -76.386 3.237 -23.597 0.0000
I(right-tail) 0.172 0.079 2.178 0.0296
|log-return|*I(right-tail) -7.290 4.666 -1.562 0.1185


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.226 0.591 0.862 0.712







HD

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.05 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.08 0.58


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.349 0.214


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.785 0.057 -13.687 0.0000
|log-return| -70.117 2.941 -23.838 0.0000
I(right-tail) 0.031 0.078 0.395 0.6929
|log-return|*I(right-tail) 7.791 3.875 2.011 0.0446


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.717 0.693 0.694 0.706







BA

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.07 -0.06 -0.04 -0.02 -0.01 0.00 0.01 0.03 0.06 0.08 1.20


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.474 0.238


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.753 0.057 -13.104 0.0000
|log-return| -62.723 2.618 -23.957 0.0000
I(right-tail) 0.055 0.080 0.685 0.4936
|log-return|*I(right-tail) -0.927 3.678 -0.252 0.8010


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.619 0.710 0.786 0.702







PG

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.05 -0.04 -0.02 -0.01 0.00 0.00 0.01 0.02 0.04 0.04 1.14


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.137 0.159


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.911 0.055 -16.577 0.0000
|log-return| -95.424 4.084 -23.368 0.0000
I(right-tail) 0.164 0.077 2.133 0.0331
|log-return|*I(right-tail) -8.284 5.866 -1.412 0.1581


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.634 0.677 0.890 0.687







PFE

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.04 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.05 0.06 0.56


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic 0.099 0.126


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.812 0.055 -14.719 0.0000
|log-return| -78.979 3.300 -23.930 0.0000
I(right-tail) 0.132 0.080 1.646 0.0999
|log-return|*I(right-tail) -1.787 4.694 -0.381 0.7035


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.728 0.727 0.866 0.674







AXP

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.11 -0.09 -0.05 -0.03 -0.01 0.00 0.01 0.05 0.10 0.13 1.13


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace 0.047 0.161


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.928 0.053 -17.428 0.0000
|log-return| -39.180 1.657 -23.648 0.0000
I(right-tail) 0.063 0.073 0.861 0.3894
|log-return|*I(right-tail) -0.641 2.328 -0.276 0.7829


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.733 0.464 0.801 0.663







T

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.05 -0.02 -0.01 -0.01 0.00 0.01 0.02 0.04 0.06 0.82


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.513 0.095


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.875 0.056 -15.636 0.0000
|log-return| -82.324 3.524 -23.359 0.0000
I(right-tail) -0.002 0.076 -0.030 0.9763
|log-return|*I(right-tail) 8.836 4.710 1.876 0.0609


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.433 0.627 0.889 0.646







DD

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.08 -0.07 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.08 0.40


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic 0.116 0.143


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.871 0.057 -15.328 0.0000
|log-return| -56.166 2.414 -23.265 0.0000
I(right-tail) 0.226 0.079 2.867 0.0042
|log-return|*I(right-tail) -10.798 3.588 -3.009 0.0027


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.698 0.432 0.736 0.646







DIS

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.08 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.08 0.44


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.301 0.194


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.842 0.056 -15.120 0.0000
|log-return| -62.480 2.637 -23.694 0.0000
I(right-tail) 0.049 0.077 0.637 0.5243
|log-return|*I(right-tail) 2.787 3.593 0.776 0.4382


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.890 0.785 0.833 0.638







CVX

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.09 -0.05 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.05 0.07 1.30


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.276 0.134


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.954 0.054 -17.532 0.0000
|log-return| -59.236 2.590 -22.874 0.0000
I(right-tail) 0.104 0.074 1.403 0.1608
|log-return|*I(right-tail) -1.479 3.641 -0.406 0.6846


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.521 0.357 0.660 0.616







MSFT

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.07 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.05 0.07 0.86


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.270 0.154


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.818 0.055 -14.842 0.0000
|log-return| -67.143 2.807 -23.921 0.0000
I(right-tail) -0.014 0.077 -0.182 0.8558
|log-return|*I(right-tail) 4.016 3.867 1.039 0.2992


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.721 0.864 0.790 0.612







MCD

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.05 -0.04 -0.02 -0.01 -0.01 0.00 0.01 0.02 0.04 0.04 0.20


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.025 0.187


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.832 0.060 -13.979 0.0000
|log-return| -100.745 4.375 -23.026 0.0000
I(right-tail) 0.163 0.080 2.046 0.0410
|log-return|*I(right-tail) -1.821 5.959 -0.305 0.7600


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.357 0.569 0.880 0.589







WMT

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.05 -0.04 -0.02 -0.01 -0.01 0.00 0.01 0.02 0.04 0.04 0.46


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.178 0.103


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.881 0.056 -15.636 0.0000
|log-return| -95.695 4.123 -23.209 0.0000
I(right-tail) 0.136 0.077 1.756 0.0793
|log-return|*I(right-tail) -3.351 5.786 -0.579 0.5626


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.277 0.862 0.808 0.527







VZ

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.05 -0.04 -0.02 -0.02 -0.01 0.00 0.01 0.02 0.04 0.06 0.85


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.397 0.166


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.858 0.057 -15.009 0.0000
|log-return| -84.372 3.622 -23.296 0.0000
I(right-tail) 0.072 0.077 0.935 0.3498
|log-return|*I(right-tail) 5.835 4.842 1.205 0.2284


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.753 0.936 0.943 0.527







IBM

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.06 -0.05 -0.03 -0.01 -0.01 0.00 0.01 0.02 0.04 0.05 1.59


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.186 0.114


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.847 0.055 -15.526 0.0000
|log-return| -83.694 3.500 -23.910 0.0000
I(right-tail) 0.126 0.077 1.629 0.1036
|log-return|*I(right-tail) -2.366 4.957 -0.477 0.6332


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.636 0.646 0.604 0.520







KO

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.04 -0.04 -0.02 -0.01 -0.01 0.00 0.01 0.02 0.04 0.05 1.15


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.295 0.090


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.841 0.058 -14.473 0.0000
|log-return| -96.633 4.176 -23.139 0.0000
I(right-tail) 0.015 0.078 0.195 0.8456
|log-return|*I(right-tail) 10.782 5.502 1.960 0.0503


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.704 0.918 0.776 0.519







GE

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.10 -0.08 -0.04 -0.02 -0.01 0.00 0.01 0.03 0.07 0.10 1.38


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.344 0.172


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.881 0.055 -16.083 0.0000
|log-return| -49.458 2.088 -23.685 0.0000
I(right-tail) 0.038 0.076 0.504 0.6145
|log-return|*I(right-tail) -1.644 2.979 -0.552 0.5811


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.665 0.650 0.756 0.479







INTC

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.07 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.06 0.07 0.51


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.036 0.149


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.732 0.059 -12.484 0.0000
|log-return| -66.298 2.774 -23.901 0.0000
I(right-tail) 0.040 0.082 0.486 0.6269
|log-return|*I(right-tail) 0.051 3.877 0.013 0.9895


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.855 0.482 0.428 0.478







MRK

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.07 -0.06 -0.03 -0.02 -0.01 0.00 0.01 0.03 0.05 0.07 0.91


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic 0.012 0.114


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.881 0.054 -16.428 0.0000
|log-return| -67.379 2.848 -23.659 0.0000
I(right-tail) 0.111 0.077 1.444 0.1489
|log-return|*I(right-tail) -2.874 4.080 -0.704 0.4813


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.601 0.762 0.606 0.421







CAT

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.08 -0.07 -0.04 -0.03 -0.01 0.00 0.01 0.04 0.07 0.09 1.13


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.087 0.251


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.726 0.057 -12.625 0.0000
|log-return| -53.896 2.228 -24.195 0.0000
I(right-tail) 0.051 0.080 0.640 0.5225
|log-return|*I(right-tail) -1.092 3.151 -0.347 0.7290


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.545 0.718 0.722 0.418







AA

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.13 -0.11 -0.05 -0.04 -0.02 0.00 0.02 0.05 0.10 0.13 0.00


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Laplace -0.152 0.200


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.837 0.054 -15.558 0.0000
|log-return| -35.128 1.461 -24.049 0.0000
I(right-tail) 0.001 0.077 0.009 0.9928
|log-return|*I(right-tail) -3.428 2.187 -1.567 0.1173


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.586 0.598 0.603 0.354







UNH

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.09 -0.07 -0.04 -0.03 -0.01 0.00 0.01 0.04 0.08 0.10 0.49


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.305 0.070


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.926 0.054 -17.085 0.0000
|log-return| -47.303 2.052 -23.055 0.0000
I(right-tail) 0.000 0.074 -0.004 0.9969
|log-return|*I(right-tail) 4.373 2.766 1.581 0.1141


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.672 0.677 0.464 0.316







XOM

Percentile values of daily loss(gain) in per cent
0.5151025507590959999.5
-0.07 -0.05 -0.02 -0.02 -0.01 0.00 0.01 0.02 0.04 0.09 0.47


Daily log-return distribution fitting results
DistributionLocation, aScale, b
Logistic -0.045 0.079


Linear regression results [Model: y=log(percentile of log-return), x=|log-return|]
VariableCoef(b)s.e.(b)t-valueP-value
Constant -0.946 0.052 -18.208 0.0000
|log-return| -65.188 2.811 -23.188 0.0000
I(right-tail) 0.014 0.073 0.190 0.8491
|log-return|*I(right-tail) 1.731 3.934 0.440 0.6601


Hurst exponent (of daily return price)
12-day24-day48-day96-day
0.429 0.491 0.462 0.236