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Econometric analysis of financial time series data
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Summary Statistics
CHF USD
Mean 53.57712 51.09375
Median 54.38260 49.24000
Maximum 74.72410 68.80000
Minimum 39.72070 43.90000
Std. Dev. 8.458609 5.929098
Skewness 0.363308 0.696679
Kurtosis 2.131772 2.323382
Jarque-Bera 69.59060 130.2596
Probability 0.000000 0.000000
Sum 69810.99 66575.16
Sum Sq. Dev. 93155.58 45770.78
Observations 1303 1303
0
20
40
60
80
100
120
140
40 45 50 55 60 65 70 75
Series: CHF
Sample 4/01/2009 3/31/2014
Observations 1303
Mean 53.57712
Median 54.38260
Maximum 74.72410
Minimum 39.72070
Std. Dev. 8.458609
Skewness 0.363308
Kurtosis 2.131772
Jarque-Bera 69.59060
Probability 0.000000
0
40
80
120
160
200
44 46 48 50 52 54 56 58 60 62 64 66 68
Series: USD
Sample 4/01/2009 3/31/2014
Observations 1303
Mean 51.09375
Median 49.24000
Maximum 68.80000
Minimum 43.90000
Std. Dev. 5.929098
Skewness 0.696679
Kurtosis 2.323382
Jarque-Bera 130.2596
Probability 0.000000
36
40
44
48
52
56
60
64
68
72
76
2009 2010 2011 2012 2013
CHF
40
45
50
55
60
65
70
2009 2010 2011 2012 2013
USD
Correlogram of raw data - CHF
Date: 05/22/14 Time: 12:43
Sample: 4/01/2009 3/31/2014
Included observations: 1303
Autocorrelation Partial Correlation AC PAC Q-Stat Prob
|******* |******* 1 0.997 0.997 1298.3 0.000
|******* | | 2 0.994 0.012 2590.2 0.000
|******* | | 3 0.991 0.007 3875.7 0.000
|******* | | 4 0.989 0.023 5155.3 0.000
|******* | | 5 0.986 -0.017 6428.7 0.000
|******* | | 6 0.983 -0.018 7695.7 0.000
|******* | | 7 0.980 -0.036 8955.7 0.000
|******* | | 8 0.977 0.000 10209. 0.000
|******* | | 9 0.974 -0.027 11455. 0.000
|******* | | 10 0.971 0.024 12694. 0.000
|******* | | 11 0.968 0.021 13927. 0.000
|******* | | 12 0.965 -0.031 15153. 0.000
|******* | | 13 0.962 0.003 16371. 0.000
|******* | | 14 0.959 0.021 17584. 0.000
|******* | | 15 0.956 0.037 18790. 0.000
|******* | | 16 0.953 0.011 19991. 0.000
|******* | | 17 0.951 -0.005 21186. 0.000
|******* | | 18 0.948 0.003 22375. 0.000
|******* | | 19 0.945 -0.057 23558. 0.000
|******* | | 20 0.942 -0.037 24733. 0.000
|******* | | 21 0.939 -0.013 25902. 0.000
|******* | | 22 0.935 0.006 27064. 0.000
|******* | | 23 0.933 0.029 28219. 0.000
|******* | | 24 0.930 0.031 29368. 0.000
|******* | | 25 0.927 -0.003 30511. 0.000
|******* | | 26 0.924 0.015 31648. 0.000
|******* | | 27 0.921 -0.005 32780. 0.000
|******* | | 28 0.919 0.020 33905. 0.000
|******* | | 29 0.916 0.006 35025. 0.000
|******* | | 30 0.913 -0.020 36139. 0.000
|******* | | 31 0.911 0.011 37248. 0.000
|******* | | 32 0.908 0.018 38351. 0.000
|******* | | 33 0.905 -0.033 39449. 0.000
|******* | | 34 0.903 -0.002 40541. 0.000
|******| | | 35 0.900 -0.005 41628. 0.000
|******| | | 36 0.897 -0.013 42709. 0.000
Correlogram of raw data – USD
Date: 05/22/14 Time: 12:48
Sample: 4/01/2009 3/31/2014
Included observations: 1303
Autocorrelation Partial Correlation AC PAC Q-Stat Prob
|******* |******* 1 0.998 0.998 1299.6 0.000
|******* | | 2 0.995 0.007 2594.0 0.000
|******* | | 3 0.993 0.054 3883.8 0.000
|******* | | 4 0.991 0.029 5169.4 0.000
|******* | | 5 0.989 -0.052 6450.2 0.000
|******* *| | 6 0.986 -0.081 7725.0 0.000
|******* | | 7 0.983 -0.005 8994.0 0.000
|******* | | 8 0.981 -0.025 10257. 0.000
|******* | | 9 0.978 0.012 11514. 0.000
|******* | | 10 0.976 0.010 12766. 0.000
|******* | | 11 0.973 -0.006 14011. 0.000
|******* | | 12 0.970 -0.041 15251. 0.000
|******* | | 13 0.967 -0.007 16483. 0.000
|******* | | 14 0.964 0.030 17710. 0.000
|******* | | 15 0.962 -0.012 18931. 0.000
|******* | | 16 0.959 -0.009 20145. 0.000
|******* | | 17 0.956 -0.004 21353. 0.000
|******* | | 18 0.953 0.038 22556. 0.000
|******* | | 19 0.950 -0.028 23752. 0.000
|******* | | 20 0.947 -0.031 24942. 0.000
|******* | | 21 0.944 -0.043 26125. 0.000
|******* | | 22 0.941 0.030 27301. 0.000
|******* | | 23 0.938 -0.022 28471. 0.000
|******* | | 24 0.936 0.048 29634. 0.000
|******* | | 25 0.933 0.013 30792. 0.000
|******* | | 26 0.930 -0.030 31943. 0.000
|******* | | 27 0.927 -0.021 33087. 0.000
|******* | | 28 0.924 0.003 34225. 0.000
|******* | | 29 0.921 0.010 35357. 0.000
|******* | | 30 0.918 -0.007 36483. 0.000
|******* | | 31 0.915 0.008 37602. 0.000
|******* | | 32 0.912 0.044 38715. 0.000
|******* | | 33 0.909 -0.007 39822. 0.000
|******* | | 34 0.907 0.018 40924. 0.000
|******* | | 35 0.904 -0.006 42020. 0.000
|******| | | 36 0.901 -0.040 43111. 0.000
Unit Root Tests
Augmented Dickey Fuller Test for CHF raw data
Null Hypothesis: CHF has a unit root
Exogenous: Constant
Lag Length: 0 (Automatic based on SIC, MAXLAG=22) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -0.529650 0.8829
Test critical values: 1% level -3.435161
5% level -2.863552
10% level -2.567891
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(CHF)
Method: Least Squares
Date: 05/22/14 Time: 12:50
Sample (adjusted): 4/02/2009 3/31/2014
Included observations: 1302 after adjustments Coefficient Std. Error t-Statistic Prob.
CHF(-1) -0.000774 0.001462 -0.529650 0.5964
C 0.059582 0.079268 0.751648 0.4524
R-squared 0.000216 Mean dependent var 0.018110
Adjusted R-squared -0.000553 S.D. dependent var 0.445538
S.E. of regression 0.445662 Akaike info criterion 1.223021
Sum squared resid 258.1986 Schwarz criterion 1.230966
Log likelihood -794.1870 Hannan-Quinn criter. 1.226002
F-statistic 0.280529 Durbin-Watson stat 2.010680
Prob(F-statistic) 0.596445
KPSS test for CHF raw data
Null Hypothesis: CHF is stationary
Exogenous: Constant
Bandwidth: 30 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 3.913168
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 71.49315
HAC corrected variance (Bartlett kernel) 2149.707
KPSS Test Equation
Dependent Variable: CHF
Method: Least Squares
Date: 05/22/14 Time: 12:52
Sample: 4/01/2009 3/31/2014
Included observations: 1303 Coefficient Std. Error t-Statistic Prob.
C 53.57712 0.234329 228.6402 0.0000
R-squared 0.000000 Mean dependent var 53.57712
Adjusted R-squared 0.000000 S.D. dependent var 8.458609
S.E. of regression 8.458609 Akaike info criterion 7.109014
Sum squared resid 93155.58 Schwarz criterion 7.112983
Log likelihood -4630.522 Hannan-Quinn criter. 7.110503
Durbin-Watson stat 0.002777
Phillips Perron Test for CHF raw data
Null Hypothesis: CHF has a unit root
Exogenous: Constant
Bandwidth: 5 (Newey-West using Bartlett kernel) Adj. t-Stat Prob.*
Phillips-Perron test statistic -0.438790 0.9000
Test critical values: 1% level -3.435161
5% level -2.863552
10% level -2.567891
*MacKinnon (1996) one-sided p-values.
Residual variance (no correction) 0.198309
HAC corrected variance (Bartlett kernel) 0.173426
Phillips-Perron Test Equation
Dependent Variable: D(CHF)
Method: Least Squares
Date: 05/22/14 Time: 12:53
Sample (adjusted): 4/02/2009 3/31/2014
Included observations: 1302 after adjustments Coefficient Std. Error t-Statistic Prob.
CHF(-1) -0.000774 0.001462 -0.529650 0.5964
C 0.059582 0.079268 0.751648 0.4524
R-squared 0.000216 Mean dependent var 0.018110
Adjusted R-squared -0.000553 S.D. dependent var 0.445538
S.E. of regression 0.445662 Akaike info criterion 1.223021
Sum squared resid 258.1986 Schwarz criterion 1.230966
Log likelihood -794.1870 Hannan-Quinn criter. 1.226002
F-statistic 0.280529 Durbin-Watson stat 2.010680
Prob(F-statistic) 0.596445
Augmented Dickey Fuller for USD raw data
Null Hypothesis: USD has a unit root
Exogenous: Constant
Lag Length: 2 (Automatic based on SIC, MAXLAG=22) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -0.292183 0.9236
Test critical values: 1% level -3.435169
5% level -2.863556
10% level -2.567893
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(USD)
Method: Least Squares
Date: 05/25/14 Time: 12:09
Sample (adjusted): 4/06/2009 3/31/2014
Included observations: 1300 after adjustments Coefficient Std. Error t-Statistic Prob.
USD(-1) -0.000456 0.001561 -0.292183 0.7702
D(USD(-1)) -0.015744 0.027641 -0.569576 0.5691
D(USD(-2)) -0.107276 0.027646 -3.880350 0.0001
C 0.031855 0.080278 0.396805 0.6916
R-squared 0.011855 Mean dependent var 0.007600
Adjusted R-squared 0.009568 S.D. dependent var 0.334698
S.E. of regression 0.333093 Akaike info criterion 0.642283
Sum squared resid 143.7926 Schwarz criterion 0.658191
Log likelihood -413.4842 Hannan-Quinn criter. 0.648252
F-statistic 5.182997 Durbin-Watson stat 2.008834
Prob(F-statistic) 0.001461
KPSS test for USD raw data
Null Hypothesis: USD is stationary
Exogenous: Constant
Bandwidth: 30 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 3.373962
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 35.12723
HAC corrected variance (Bartlett kernel) 1060.350
KPSS Test Equation
Dependent Variable: USD
Method: Least Squares
Date: 05/22/14 Time: 12:57
Sample: 4/01/2009 3/31/2014
Included observations: 1303 Coefficient Std. Error t-Statistic Prob.
C 51.09375 0.164254 311.0651 0.0000
R-squared 0.000000 Mean dependent var 51.09375
Adjusted R-squared 0.000000 S.D. dependent var 5.929098
S.E. of regression 5.929098 Akaike info criterion 6.398388
Sum squared resid 45770.78 Schwarz criterion 6.402358
Log likelihood -4167.550 Hannan-Quinn criter. 6.399878
Durbin-Watson stat 0.003183
Phillips Perron test for USD raw data
Null Hypothesis: USD has a unit root
Exogenous: Constant
Bandwidth: 9 (Newey-West using Bartlett kernel) Adj. t-Stat Prob.*
Phillips-Perron test statistic -0.416862 0.9039
Test critical values: 1% level -3.435161
5% level -2.863552
10% level -2.567891
*MacKinnon (1996) one-sided p-values.
Residual variance (no correction) 0.111829
HAC corrected variance (Bartlett kernel) 0.102792
Phillips-Perron Test Equation
Dependent Variable: D(USD)
Method: Least Squares
Date: 05/22/14 Time: 12:58
Sample (adjusted): 4/02/2009 3/31/2014
Included observations: 1302 after adjustments Coefficient Std. Error t-Statistic Prob.
USD(-1) -0.000755 0.001566 -0.481965 0.6299
C 0.045976 0.080518 0.570997 0.5681
R-squared 0.000179 Mean dependent var 0.007427
Adjusted R-squared -0.000590 S.D. dependent var 0.334567
S.E. of regression 0.334665 Akaike info criterion 0.650163
Sum squared resid 145.6011 Schwarz criterion 0.658108
Log likelihood -421.2564 Hannan-Quinn criter. 0.653144
F-statistic 0.232290 Durbin-Watson stat 2.027543
Prob(F-statistic) 0.629912
Correlogram of CHF returns
Date: 05/22/14 Time: 12:59
Sample: 4/01/2009 3/31/2014
Included observations: 1302
Autocorrelation Partial Correlation AC PAC Q-Stat Prob
| | | | 1 -0.034 -0.034 1.5303 0.216
| | | | 2 -0.024 -0.025 2.2901 0.318
| | | | 3 -0.046 -0.048 5.0546 0.168
| | | | 4 -0.023 -0.027 5.7306 0.220
| | | | 5 0.010 0.006 5.8723 0.319
| | | | 6 0.025 0.023 6.7140 0.348
| | | | 7 -0.016 -0.016 7.0312 0.426
| | | | 8 0.049 0.050 10.177 0.253
*| | | | 9 -0.070 -0.065 16.672 0.054
| | | | 10 -0.041 -0.044 18.845 0.042
| | | | 11 0.045 0.043 21.536 0.028
| | | | 12 -0.038 -0.042 23.438 0.024
| | | | 13 -0.012 -0.020 23.615 0.035
| | | | 14 -0.047 -0.049 26.488 0.022
| | | | 15 -0.022 -0.023 27.117 0.028
| | | | 16 -0.008 -0.019 27.210 0.039
| | | | 17 0.051 0.049 30.700 0.022
| | | | 18 0.059 0.061 35.245 0.009
| | | | 19 0.054 0.050 39.151 0.004
| | | | 20 -0.013 0.008 39.390 0.006
| | | | 21 -0.004 0.006 39.415 0.009
| | | | 22 -0.024 -0.021 40.192 0.010
| | *| | 23 -0.065 -0.074 45.849 0.003
| | | | 24 -0.010 -0.026 45.989 0.004
| | | | 25 -0.035 -0.052 47.659 0.004
| | | | 26 0.005 -0.009 47.691 0.006
| | | | 27 -0.012 -0.014 47.881 0.008
| | | | 28 -0.011 -0.009 48.045 0.011
| | | | 29 0.044 0.047 50.593 0.008
| | | | 30 0.020 0.028 51.138 0.009
| | | | 31 -0.039 -0.019 53.194 0.008
| | | | 32 -0.008 -0.007 53.283 0.010
| | | | 33 -0.016 -0.009 53.638 0.013
| | | | 34 -0.015 -0.025 53.925 0.016
| | | | 35 0.021 -0.001 54.496 0.019
| | | | 36 -0.034 -0.052 56.074 0.018
Correlogram of USD returns
Date: 05/22/14 Time: 13:01
Sample: 4/01/2009 3/31/2014
Included observations: 1302
Autocorrelation Partial Correlation AC PAC Q-Stat Prob
| | | | 1 -0.019 -0.019 0.4611 0.497
*| | *| | 2 -0.083 -0.083 9.3846 0.009
| | | | 3 -0.017 -0.021 9.7848 0.020
| | | | 4 0.049 0.042 12.971 0.011
|* | |* | 5 0.081 0.081 21.553 0.001
| | | | 6 -0.015 -0.004 21.844 0.001
| | | | 7 -0.007 0.008 21.900 0.003
| | | | 8 0.000 -0.001 21.900 0.005
| | | | 9 -0.002 -0.009 21.903 0.009
| | | | 10 0.023 0.017 22.585 0.012
| | | | 11 0.047 0.050 25.523 0.008
| | | | 12 0.019 0.025 26.010 0.011
| | | | 13 -0.030 -0.020 27.178 0.012
| | | | 14 0.011 0.013 27.329 0.017
| | | | 15 0.017 0.007 27.731 0.023
| | | | 16 -0.005 -0.013 27.763 0.034
| | | | 17 -0.036 -0.035 29.451 0.031
| | | | 18 -0.007 -0.007 29.522 0.042
| | | | 19 0.026 0.017 30.427 0.047
| | | | 20 0.035 0.034 32.050 0.043
| | | | 21 -0.026 -0.018 32.935 0.047
| | | | 22 -0.003 0.004 32.950 0.063
| | *| | 23 -0.064 -0.071 38.439 0.023
| | | | 24 0.001 -0.009 38.439 0.031
| | | | 25 0.050 0.037 41.726 0.019
| | | | 26 0.024 0.027 42.478 0.022
| | | | 27 -0.008 0.008 42.563 0.029
| | | | 28 -0.050 -0.031 45.887 0.018
| | | | 29 0.025 0.020 46.719 0.020
| | | | 30 0.023 0.004 47.448 0.022
| | | | 31 -0.058 -0.062 51.940 0.011
| | | | 32 -0.037 -0.032 53.797 0.009
| | | | 33 -0.006 -0.008 53.850 0.012
| | | | 34 -0.001 -0.010 53.853 0.017
| | | | 35 0.023 0.028 54.559 0.019
| | | | 36 -0.040 -0.033 56.708 0.015
Graph of CHF returns
Graph of USD returns
-.10
-.08
-.06
-.04
-.02
.00
.02
.04
.06
2009 2010 2011 2012 2013
CHFR
-.04
-.03
-.02
-.01
.00
.01
.02
.03
.04
2009 2010 2011 2012 2013
USDR
Unit root tests of returns
Augmented Dickey Fuller Test of CHF returns
Null Hypothesis: CHFR has a unit root
Exogenous: Constant
Lag Length: 0 (Automatic based on SIC, MAXLAG=22) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -37.30002 0.0000
Test critical values: 1% level -3.435165
5% level -2.863554
10% level -2.567892
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(CHFR)
Method: Least Squares
Date: 05/22/14 Time: 13:04
Sample (adjusted): 4/03/2009 3/31/2014
Included observations: 1301 after adjustments Coefficient Std. Error t-Statistic Prob.
CHFR(-1) -1.034250 0.027728 -37.30002 0.0000
C 0.000336 0.000223 1.507679 0.1319
R-squared 0.517153 Mean dependent var -8.40E-07
Adjusted R-squared 0.516781 S.D. dependent var 0.011546
S.E. of regression 0.008026 Akaike info criterion -6.810693
Sum squared resid 0.083680 Schwarz criterion -6.802744
Log likelihood 4432.356 Hannan-Quinn criter. -6.807711
F-statistic 1391.291 Durbin-Watson stat 2.001828
Prob(F-statistic) 0.000000
KPSS test of CHF returns
Null Hypothesis: CHFR is stationary
Exogenous: Constant
Bandwidth: 8 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 0.061676
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 6.44E-05
HAC corrected variance (Bartlett kernel) 5.44E-05
KPSS Test Equation
Dependent Variable: CHFR
Method: Least Squares
Date: 05/22/14 Time: 13:05
Sample (adjusted): 4/02/2009 3/31/2014
Included observations: 1302 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.000328 0.000222 1.476053 0.1402
R-squared 0.000000 Mean dependent var 0.000328
Adjusted R-squared 0.000000 S.D. dependent var 0.008026
S.E. of regression 0.008026 Akaike info criterion -6.811550
Sum squared resid 0.083801 Schwarz criterion -6.807578
Log likelihood 4435.319 Hannan-Quinn criter. -6.810060
Durbin-Watson stat 2.068048
Phillips Perron test of CHF returns
Null Hypothesis: CHFR has a unit root
Exogenous: Constant
Bandwidth: 7 (Newey-West using Bartlett kernel) Adj. t-Stat Prob.*
Phillips-Perron test statistic -37.43024 0.0000
Test critical values: 1% level -3.435165
5% level -2.863554
10% level -2.567892
*MacKinnon (1996) one-sided p-values.
Residual variance (no correction) 6.43E-05
HAC corrected variance (Bartlett kernel) 5.75E-05
Phillips-Perron Test Equation
Dependent Variable: D(CHFR)
Method: Least Squares
Date: 05/22/14 Time: 13:05
Sample (adjusted): 4/03/2009 3/31/2014
Included observations: 1301 after adjustments Coefficient Std. Error t-Statistic Prob.
CHFR(-1) -1.034250 0.027728 -37.30002 0.0000
C 0.000336 0.000223 1.507679 0.1319
R-squared 0.517153 Mean dependent var -8.40E-07
Adjusted R-squared 0.516781 S.D. dependent var 0.011546
S.E. of regression 0.008026 Akaike info criterion -6.810693
Sum squared resid 0.083680 Schwarz criterion -6.802744
Log likelihood 4432.356 Hannan-Quinn criter. -6.807711
F-statistic 1391.291 Durbin-Watson stat 2.001828
Prob(F-statistic) 0.000000
Augmented Dickey Fuller test of USD returns
Null Hypothesis: USDR has a unit root
Exogenous: Constant
Lag Length: 1 (Automatic based on SIC, MAXLAG=22) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -27.93151 0.0000
Test critical values: 1% level -3.435169
5% level -2.863556
10% level -2.567893
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(USDR)
Method: Least Squares
Date: 05/22/14 Time: 13:06
Sample (adjusted): 4/06/2009 3/31/2014
Included observations: 1300 after adjustments Coefficient Std. Error t-Statistic Prob.
USDR(-1) -1.103242 0.039498 -27.93151 0.0000
D(USDR(-1)) 0.083107 0.027670 3.003500 0.0027
C 0.000153 0.000170 0.902412 0.3670
R-squared 0.512692 Mean dependent var -1.54E-06
Adjusted R-squared 0.511941 S.D. dependent var 0.008755
S.E. of regression 0.006116 Akaike info criterion -7.353495
Sum squared resid 0.048516 Schwarz criterion -7.341564
Log likelihood 4782.772 Hannan-Quinn criter. -7.349018
F-statistic 682.2811 Durbin-Watson stat 2.003396
Prob(F-statistic) 0.000000
KPSS test of USD returns
Null Hypothesis: USDR is stationary
Exogenous: Constant
Bandwidth: 7 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 0.257904
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 3.76E-05
HAC corrected variance (Bartlett kernel) 3.46E-05
KPSS Test Equation
Dependent Variable: USDR
Method: Least Squares
Date: 05/22/14 Time: 13:07
Sample (adjusted): 4/02/2009 3/31/2014
Included observations: 1302 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.000135 0.000170 0.795918 0.4262
R-squared 0.000000 Mean dependent var 0.000135
Adjusted R-squared 0.000000 S.D. dependent var 0.006132
S.E. of regression 0.006132 Akaike info criterion -7.349945
Sum squared resid 0.048914 Schwarz criterion -7.345973
Log likelihood 4785.814 Hannan-Quinn criter. -7.348454
Durbin-Watson stat 2.036773
Phillips Perron test of USD returns
Null Hypothesis: USDR has a unit root
Exogenous: Constant
Bandwidth: 7 (Newey-West using Bartlett kernel) Adj. t-Stat Prob.*
Phillips-Perron test statistic -36.76825 0.0000
Test critical values: 1% level -3.435165
5% level -2.863554
10% level -2.567892
*MacKinnon (1996) one-sided p-values.
Residual variance (no correction) 3.76E-05
HAC corrected variance (Bartlett kernel) 3.58E-05
Phillips-Perron Test Equation
Dependent Variable: D(USDR)
Method: Least Squares
Date: 05/22/14 Time: 13:08
Sample (adjusted): 4/03/2009 3/31/2014
Included observations: 1301 after adjustments Coefficient Std. Error t-Statistic Prob.
USDR(-1) -1.018796 0.027729 -36.74062 0.0000
C 0.000143 0.000170 0.838830 0.4017
R-squared 0.509603 Mean dependent var 4.76E-06
Adjusted R-squared 0.509225 S.D. dependent var 0.008754
S.E. of regression 0.006133 Akaike info criterion -7.348811
Sum squared resid 0.048856 Schwarz criterion -7.340862
Log likelihood 4782.402 Hannan-Quinn criter. -7.345829
F-statistic 1349.873 Durbin-Watson stat 2.002609
Prob(F-statistic) 0.000000
Normality tests
CHF returns
USD returns
0
40
80
120
160
200
240
280
320
360
-0.075 -0.050 -0.025 0.000 0.025 0.050
Series: CHFR
Sample 4/01/2009 3/31/2014
Observations 1302
Mean 0.000328
Median 0.000235
Maximum 0.051633
Minimum -0.088578
Std. Dev. 0.008026
Skewness -0.902790
Kurtosis 17.31165
Jarque-Bera 11288.52
Probability 0.000000
0
40
80
120
160
200
240
280
320
-0.025 0.000 0.025
Series: USDR
Sample 4/01/2009 3/31/2014
Observations 1302
Mean 0.000135
Median 0.000000
Maximum 0.037919
Minimum -0.037560
Std. Dev. 0.006132
Skewness -0.021088
Kurtosis 8.593096
Jarque-Bera 1697.185
Probability 0.000000
Autocorrelation of CHF returns
Partial autocorrelation of CHF returns
-0.1
0-0
.05
0.0
00.0
5
Auto
co
rrela
tio
ns o
f chfr
0 10 20 30 40Lag
Bartlett's formula for MA(q) 95% confidence bands
-0.1
0-0
.05
0.0
00.0
5
Part
ial au
tocorr
ela
tions o
f ch
fr
0 10 20 30 40Lag
95% Confidence bands [se = 1/sqrt(n)]
Autocorrelation of USD returns
Partial autocorrelation of USDR
-0.1
0-0
.05
0.0
00.0
50.1
0
Auto
co
rrela
tio
ns o
f u
sd
r
0 10 20 30 40Lag
Bartlett's formula for MA(q) 95% confidence bands
-0.1
0-0
.05
0.0
00.0
50.1
0
Part
ial au
tocorr
ela
tions o
f u
sdr
0 10 20 30 40Lag
95% Confidence bands [se = 1/sqrt(n)]
Autoregressive Moving Average models
Model for CHF returns
Dependent Variable: CHFR
Method: Least Squares
Date: 05/22/14 Time: 14:39
Sample (adjusted): 3 1302
Included observations: 1300 after adjustments
Convergence achieved after 50 iterations
MA Backcast: 1 2 Coefficient Std. Error t-Statistic Prob.
C 0.000327 0.000216 1.510235 0.1312
AR(1) 1.587823 0.005041 314.9825 0.0000
AR(2) -0.977909 0.005074 -192.7272 0.0000
MA(1) -1.611383 0.002106 -765.2156 0.0000
MA(2) 0.994281 0.001994 498.5271 0.0000
R-squared 0.023186 Mean dependent var 0.000322
Adjusted R-squared 0.020169 S.D. dependent var 0.008030
S.E. of regression 0.007949 Akaike info criterion -6.827684
Sum squared resid 0.081828 Schwarz criterion -6.807799
Log likelihood 4442.995 Hannan-Quinn criter. -6.820223
F-statistic 7.684674 Durbin-Watson stat 2.057754
Prob(F-statistic) 0.000004
Inverted AR Roots .79+.59i .79-.59i
Inverted MA Roots .81-.59i .81+.59i
Breusch-Godfrey Serial Correlation test for CHF returns
Null Hypothesis: There is no serial correlation
Breusch-Godfrey Serial Correlation LM Test:
F-statistic 0.775958 Prob. F(8,1287) 0.6240
Obs*R-squared 6.240256 Prob. Chi-Square(8) 0.6203
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 05/23/14 Time: 12:06
Sample: 3 1302
Included observations: 1300
Presample missing value lagged residuals set to zero. Coefficient Std. Error t-Statistic Prob.
C -1.00E-06 0.000217 -0.004630 0.9963
AR(1) 0.001780 0.005177 0.343898 0.7310
AR(2) -0.000314 0.005219 -0.060233 0.9520
MA(1) 2.32E-05 0.001409 0.016493 0.9868
MA(2) -0.000220 0.000589 -0.373685 0.7087
RESID(-1) -0.030744 0.028373 -1.083556 0.2788
RESID(-2) -0.013592 0.028382 -0.478902 0.6321
RESID(-3) -0.032464 0.028363 -1.144597 0.2526
RESID(-4) -0.011870 0.028366 -0.418458 0.6757
RESID(-5) 0.015226 0.028362 0.536859 0.5915
RESID(-6) 0.018466 0.028356 0.651198 0.5150
RESID(-7) -0.026419 0.028350 -0.931862 0.3516
RESID(-8) 0.035837 0.028333 1.264834 0.2062
R-squared 0.004800 Mean dependent var 6.75E-07
Adjusted R-squared -0.004479 S.D. dependent var 0.007937
S.E. of regression 0.007955 Akaike info criterion -6.820188
Sum squared resid 0.081435 Schwarz criterion -6.768487
Log likelihood 4446.122 Hannan-Quinn criter. -6.800790
F-statistic 0.517304 Durbin-Watson stat 1.993775
Prob(F-statistic) 0.904763
Model for USD returns
Dependent Variable: USDR
Method: Least Squares
Date: 05/22/14 Time: 14:42
Sample (adjusted): 3 1302
Included observations: 1300 after adjustments
Convergence achieved after 29 iterations
MA Backcast: 1 2 Coefficient Std. Error t-Statistic Prob.
C 0.000137 0.000164 0.839178 0.4015
AR(1) 0.610026 0.032044 19.03721 0.0000
AR(2) -0.942548 0.031366 -30.05026 0.0000
MA(1) -0.621076 0.039651 -15.66345 0.0000
MA(2) 0.911523 0.038968 23.39135 0.0000
R-squared 0.015013 Mean dependent var 0.000139
Adjusted R-squared 0.011971 S.D. dependent var 0.006134
S.E. of regression 0.006097 Akaike info criterion -7.358269
Sum squared resid 0.048136 Schwarz criterion -7.338383
Log likelihood 4787.875 Hannan-Quinn criter. -7.350808
F-statistic 4.934572 Durbin-Watson stat 2.026155
Prob(F-statistic) 0.000598
Inverted AR Roots .31+.92i .31-.92i
Inverted MA Roots .31+.90i .31-.90i
Breusch-Godfrey Serial Correlation test for USD returns
Null Hypothesis: There is no serial correlation
Breusch-Godfrey Serial Correlation LM Test:
F-statistic 1.243318 Prob. F(8,1287) 0.2699
Obs*R-squared 9.969962 Prob. Chi-Square(8) 0.2671
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 05/23/14 Time: 12:10
Sample: 3 1302
Included observations: 1300
Presample missing value lagged residuals set to zero. Coefficient Std. Error t-Statistic Prob.
C -1.50E-06 0.000164 -0.009175 0.9927
AR(1) 0.004821 0.038537 0.125108 0.9005
AR(2) -0.041009 0.037079 -1.105996 0.2689
MA(1) 0.018686 0.055479 0.336810 0.7363
MA(2) 0.059037 0.052572 1.122977 0.2617
RESID(-1) -0.038405 0.036405 -1.054924 0.2917
RESID(-2) -0.067930 0.035130 -1.933658 0.0534
RESID(-3) 0.007175 0.034751 0.206454 0.8365
RESID(-4) 0.045070 0.033628 1.340263 0.1804
RESID(-5) 0.061893 0.033537 1.845528 0.0652
RESID(-6) -0.019319 0.032630 -0.592051 0.5539
RESID(-7) 0.015678 0.032134 0.487889 0.6257
RESID(-8) 0.019595 0.031948 0.613344 0.5398
R-squared 0.007669 Mean dependent var 2.48E-07
Adjusted R-squared -0.001583 S.D. dependent var 0.006087
S.E. of regression 0.006092 Akaike info criterion -7.353660
Sum squared resid 0.047767 Schwarz criterion -7.301958
Log likelihood 4792.879 Hannan-Quinn criter. -7.334261
F-statistic 0.828879 Durbin-Watson stat 1.999489
Prob(F-statistic) 0.620633
Vector Autoregression
Selection of lag length
VAR Lag Order Selection Criteria
Endogenous variables: USDR CHFR
Exogenous variables: C
Date: 05/23/14 Time: 12:23
Sample: 1 1302
Included observations: 1294
Lag LogL LR FPE AIC SC HQ
0 9210.558 NA 2.26e-09 -14.23270 -14.22472 -14.22970
1 9233.397 45.57184 2.19e-09 -14.26182 -14.23787* -14.25283*
2 9239.104 11.37092* 2.19e-09* -14.26446* -14.22454 -14.24948
3 9240.428 2.634083 2.20e-09 -14.26032 -14.20444 -14.23935
4 9244.011 7.115732 2.20e-09 -14.25968 -14.18782 -14.23271
5 9248.227 8.359320 2.20e-09 -14.26001 -14.17219 -14.22705
6 9249.130 1.788678 2.21e-09 -14.25522 -14.15144 -14.21627
7 9249.965 1.651442 2.22e-09 -14.25033 -14.13058 -14.20539
8 9252.312 4.631530 2.22e-09 -14.24778 -14.11205 -14.19684
* indicates lag order selected by the criterion
LR: sequential modified LR test statistic (each test at 5% level)
FPE: Final prediction error
AIC: Akaike information criterion
SC: Schwarz information criterion
HQ: Hannan-Quinn information criterion
Vector Autoregression results
Vector Autoregression Estimates
Date: 05/23/14 Time: 12:20
Sample (adjusted): 3 1302
Included observations: 1300 after adjustments
Standard errors in ( ) & t-statistics in [ ] USDR CHFR
USDR(-1) -0.031414 0.222680
(0.02876) (0.03726)
[-1.09232] [ 5.97653]
USDR(-2) -0.085347 -0.036559
(0.02913) (0.03774)
[-2.92972] [-0.96868]
CHFR(-1) 0.033861 -0.075762
(0.02227) (0.02885)
[ 1.52036] [-2.62571]
CHFR(-2) -0.013516 -0.023477
(0.02199) (0.02849)
[-0.61466] [-0.82407]
C 0.000149 0.000329
(0.00017) (0.00022)
[ 0.87500] [ 1.49282]
R-squared 0.009450 0.030067
Adj. R-squared 0.006390 0.027071
Sum sq. resids 0.048408 0.081252
S.E. equation 0.006114 0.007921
F-statistic 3.088563 10.03578
Log likelihood 4784.214 4447.589
Akaike AIC -7.352636 -6.834753
Schwarz SC -7.332751 -6.814868
Mean dependent 0.000139 0.000322
S.D. dependent 0.006134 0.008030
Determinant resid covariance (dof adj.) 2.17E-09
Determinant resid covariance 2.16E-09
Log likelihood 9280.993
Akaike information criterion -14.26307
Schwarz criterion -14.22330
. var chfr usdr, lags(1/2)
Vector autoregression
Sample: 04jan1960 - 26jul1963 No. of obs = 1300
Log likelihood = 9280.993 AIC = -14.26307
FPE = 2.19e-09 HQIC = -14.24814
Det(Sigma_ml) = 2.16e-09 SBIC = -14.2233
Equation Parms RMSE R-sq chi2 P>chi2
----------------------------------------------------------------
chfr 5 .007921 0.0301 40.29811 0.0000
usdr 5 .006114 0.0094 12.40195 0.0146
--------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+------------------------------------------------------------------------
chfr |
chfr |
L1. | -.0757623 .0287985 -2.63 0.009 -.1322064 -.0193182
L2. | -.023477 .0284342 -0.83 0.409 -.0792071 .0322531
|
usdr |
L1. | .2226804 .0371874 5.99 0.000 .1497944 .2955665
L2. | -.0365592 .0376688 -0.97 0.332 -.1103886 .0372702
|
_cons | .0003285 .0002197 1.50 0.135 -.000102 .0007591
-------------+----------------------------------------------------------------
usdr |
chfr |
L1. | .0338608 .0222287 1.52 0.128 -.0097066 .0774282
L2. | -.0135162 .0219475 -0.62 0.538 -.0565325 .0295001
|
usdr |
L1. | -.0314141 .0287038 -1.09 0.274 -.0876725 .0248443
L2. | -.0853467 .0290753 -2.94 0.003 -.1423333 -.0283601
|
_cons | .0001486 .0001695 0.88 0.381 -.0001837 .000481
------------------------------------------------------------------------------
Diagnostics – Serial correlation in residuals (Breusch-Godfrey Lagrange Multiplier test)
VAR Residual Serial Correlation LM Tests Null Hypothesis: no serial correlation at lag order h
Date: 05/23/14 Time: 12:39
Sample: 1 1302
Included observations: 1300
Lags LM-Stat Prob
1 0.821498 0.9355
2 3.505578 0.4770
3 3.450986 0.4854
4 6.505030 0.1645
5 8.067981 0.0891
6 2.429257 0.6573
7 1.953323 0.7443
8 7.223321 0.1245
9 11.06779 0.0258
10 5.623677 0.2291
11 5.827624 0.2124
12 7.320485 0.1199
Probs from chi-square with 4 df.
Impulse response
-.002
.000
.002
.004
.006
.008
1 2 3 4 5 6 7 8 9 10
Response of USDR to USDR
-.002
.000
.002
.004
.006
.008
1 2 3 4 5 6 7 8 9 10
Response of USDR to CHFR
-.002
.000
.002
.004
.006
.008
1 2 3 4 5 6 7 8 9 10
Response of CHFR to USDR
-.002
.000
.002
.004
.006
.008
1 2 3 4 5 6 7 8 9 10
Response of CHFR to CHFR
Response to Cholesky One S.D. Innovations ± 2 S.E.
Granger Causality
VAR Granger Causality/Block Exogeneity Wald Tests
Date: 05/23/14 Time: 12:50
Sample: 1 1302
Included observations: 1300
Dependent variable: USDR
Excluded Chi-sq df Prob.
CHFR 2.876262 2 0.2374
All 2.876262 2 0.2374
Dependent variable: CHFR
Excluded Chi-sq df Prob.
USDR 37.70582 2 0.0000
All 37.70582 2 0.0000
Cointegration tests
. vecrank CHF USD, trend(none) lags(8)
Johansen tests for cointegration
Trend: none Number of obs = 1295
Sample: 10jan1960 - 27jul1963 Lags = 8
-------------------------------------------------------------------------------
5%
maximum trace critical
rank parms LL eigenvalue statistic value
0 28 -1081.3614 . 8.0431* 12.53
1 31 -1078.3681 0.00461 2.0565 3.84
2 32 -1077.3398 0.00159
-------------------------------------------------------------------------------
Date: 05/25/14 Time: 14:48
Sample: 4/01/2009 3/31/2014
Included observations: 1298
Series: USD CHF
Lags interval: 1 to 4
Selected
(0.05 level*) Number of
Cointegrating Relations by
Model
Data Trend: None None Linear Linear Quadratic
Test Type No Intercept Intercept Intercept Intercept Intercept
No Trend No Trend No Trend Trend Trend
Trace 0 0 0 0 0
Max-Eig 0 0 0 0 0
*Critical values based on MacKinnon-Haug-Michelis (1999)
Information Criteria by Rank and
Model
Data Trend: None None Linear Linear Quadratic
Rank or No Intercept Intercept Intercept Intercept Intercept
No. of CEs No Trend No Trend No Trend Trend Trend
Log Likelihood by Rank (rows) and Model (columns)
0 -1089.616 -1089.616 -1088.226 -1088.226 -1087.426
1 -1086.347 -1085.842 -1084.466 -1083.993 -1083.618
2 -1085.091 -1084.418 -1084.418 -1080.416 -1080.416
Akaike Information Criteria by
Rank (rows) and Model (columns)
0 1.703568* 1.703568* 1.704509 1.704509 1.706358
1 1.704695 1.705457 1.704878 1.705690 1.706654
2 1.708923 1.710967 1.710967 1.707883 1.707883
Schwarz Criteria by
Rank (rows) and Model (columns)
0 1.767280* 1.767280* 1.776184 1.776184 1.785997
1 1.784334 1.789078 1.792481 1.797275 1.802221
2 1.804490 1.814498 1.814498 1.819378 1.819378
ARCH/GARCH
Model and tests for CHF returns
Dependent Variable: CHFR
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 05/23/14 Time: 13:59
Sample: 1 1302
Included observations: 1302
Convergence achieved after 21 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(1) + C(2)*RESID(-1)^2 + C(3)*GARCH(-1) Coefficient Std. Error z-Statistic Prob. Variance Equation
C 1.20E-06 2.09E-07 5.765298 0.0000
RESID(-1)^2 0.087763 0.011213 7.826985 0.0000
GARCH(-1) 0.895134 0.009514 94.08458 0.0000
R-squared -0.001675 Mean dependent var 0.000328
Adjusted R-squared -0.003217 S.D. dependent var 0.008026
S.E. of regression 0.008039 Akaike info criterion -7.016272
Sum squared resid 0.083942 Schwarz criterion -7.004356
Log likelihood 4570.593 Hannan-Quinn criter. -7.011801
Durbin-Watson stat 2.064590
Residual tests
Heteroskedasticity Test: ARCH
F-statistic 0.365151 Prob. F(1,1299) 0.5458
Obs*R-squared 0.365611 Prob. Chi-Square(1) 0.5454
Test Equation:
Dependent Variable: WGT_RESID^2
Method: Least Squares
Date: 05/23/14 Time: 14:01
Sample (adjusted): 2 1302
Included observations: 1301 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.985346 0.064238 15.33909 0.0000
WGT_RESID^2(-1) 0.016764 0.027742 0.604277 0.5458
R-squared 0.000281 Mean dependent var 1.002147
Adjusted R-squared -0.000489 S.D. dependent var 2.088219
S.E. of regression 2.088729 Akaike info criterion 4.312525
Sum squared resid 5667.262 Schwarz criterion 4.320474
Log likelihood -2803.297 Hannan-Quinn criter. 4.315507
F-statistic 0.365151 Durbin-Watson stat 2.000524
Prob(F-statistic) 0.545765
. regress CHFR
Source | SS df MS Number of obs = 1302
-------------+------------------------------ F( 0, 1301) = 0.00
Model | 0 0 . Prob > F = .
Residual | .083801293 1301 .000064413 R-squared = 0.0000
-------------+------------------------------ Adj R-squared = 0.0000
Total | .083801293 1301 .000064413 Root MSE = .00803
------------------------------------------------------------------------------
CHFR | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | .0003283 .0002224 1.48 0.140 -.000108 .0007647
------------------------------------------------------------------------------
. estat archlm, lags(1)
LM test for autoregressive conditional heteroskedasticity (ARCH)
---------------------------------------------------------------------------
lags(p) | chi2 df Prob > chi2
-------------+-------------------------------------------------------------
1 | 8.219 1 0.0041
---------------------------------------------------------------------------
H0: no ARCH effects vs. H1: ARCH(p) disturbance
Model and tests for USD returns
Dependent Variable: USDR
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 05/23/14 Time: 14:13
Sample: 1 1302
Included observations: 1302
Convergence achieved after 10 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(1) + C(2)*RESID(-1)^2 + C(3)*GARCH(-1) Coefficient Std. Error z-Statistic Prob. Variance Equation
C 1.37E-06 3.06E-07 4.480360 0.0000
RESID(-1)^2 0.056789 0.007951 7.142603 0.0000
GARCH(-1) 0.905510 0.014306 63.29536 0.0000
R-squared -0.000487 Mean dependent var 0.000135
Adjusted R-squared -0.002027 S.D. dependent var 0.006132
S.E. of regression 0.006138 Akaike info criterion -7.466773
Sum squared resid 0.048937 Schwarz criterion -7.454856
Log likelihood 4863.869 Hannan-Quinn criter. -7.462302
Durbin-Watson stat 2.035782
Residual tests
Heteroskedasticity Test: ARCH
F-statistic 0.038836 Prob. F(1,1299) 0.8438
Obs*R-squared 0.038895 Prob. Chi-Square(1) 0.8437
Test Equation:
Dependent Variable: WGT_RESID^2
Method: Least Squares
Date: 05/23/14 Time: 14:18
Sample (adjusted): 2 1302
Included observations: 1301 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.995457 0.080357 12.38790 0.0000
WGT_RESID^2(-1) 0.005468 0.027746 0.197069 0.8438
R-squared 0.000030 Mean dependent var 1.000937
Adjusted R-squared -0.000740 S.D. dependent var 2.718364
S.E. of regression 2.719369 Akaike info criterion 4.840213
Sum squared resid 9606.066 Schwarz criterion 4.848162
Log likelihood -3146.559 Hannan-Quinn criter. 4.843196
F-statistic 0.038836 Durbin-Watson stat 1.999651
Prob(F-statistic) 0.843804
. regress USDR
Source | SS df MS Number of obs = 1302
-------------+------------------------------ F( 0, 1301) = 0.00
Model | 0 0 . Prob > F = .
Residual | .04891354 1301 .000037597 R-squared = 0.0000
-------------+------------------------------ Adj R-squared = 0.0000
Total | .04891354 1301 .000037597 Root MSE = .00613
------------------------------------------------------------------------------
USDR | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | .0001353 .0001699 0.80 0.426 -.0001981 .0004686
------------------------------------------------------------------------------
. estat archlm, lags(1)
LM test for autoregressive conditional heteroskedasticity (ARCH)
---------------------------------------------------------------------------
lags(p) | chi2 df Prob > chi2
-------------+-------------------------------------------------------------
1 | 74.578 1 0.0000
---------------------------------------------------------------------------
H0: no ARCH effects vs. H1: ARCH(p) disturbance
Truncated dataset
Unit root tests
CHF returns
ADF test
Null Hypothesis: CHFRI has a unit root
Exogenous: Constant
Lag Length: 0 (Automatic based on SIC, MAXLAG=21) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -34.09873 0.0000
Test critical values: 1% level -3.436425
5% level -2.864111
10% level -2.568190
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(CHFRI)
Method: Least Squares
Date: 05/25/14 Time: 14:10
Sample (adjusted): 2 1040
Included observations: 1039 after adjustments Coefficient Std. Error t-Statistic Prob.
CHFRI(-1) -1.057000 0.030998 -34.09873 0.0000
C 0.000253 0.000249 1.015789 0.3100
R-squared 0.528577 Mean dependent var -6.45E-06
Adjusted R-squared 0.528123 S.D. dependent var 0.011682
S.E. of regression 0.008025 Akaike info criterion -6.810593
Sum squared resid 0.066783 Schwarz criterion -6.801072
Log likelihood 3540.103 Hannan-Quinn criter. -6.806981
F-statistic 1162.723 Durbin-Watson stat 2.000746
Prob(F-statistic) 0.000000
KPSS test
Null Hypothesis: CHFRI is stationary
Exogenous: Constant
Bandwidth: 13 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 0.081207
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 6.44E-05
HAC corrected variance (Bartlett kernel) 4.64E-05
KPSS Test Equation
Dependent Variable: CHFRI
Method: Least Squares
Date: 05/25/14 Time: 14:12
Sample (adjusted): 1 1040
Included observations: 1040 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.000244 0.000249 0.978609 0.3280
R-squared 0.000000 Mean dependent var 0.000244
Adjusted R-squared 0.000000 S.D. dependent var 0.008032
S.E. of regression 0.008032 Akaike info criterion -6.809869
Sum squared resid 0.067025 Schwarz criterion -6.805112
Log likelihood 3542.132 Hannan-Quinn criter. -6.808065
Durbin-Watson stat 2.113590
USD Returns
ADF test
Null Hypothesis: USDRI has a unit root
Exogenous: Constant
Lag Length: 0 (Automatic based on SIC, MAXLAG=21) t-Statistic Prob.*
Augmented Dickey-Fuller test statistic -32.88399 0.0000
Test critical values: 1% level -3.436425
5% level -2.864111
10% level -2.568190
*MacKinnon (1996) one-sided p-values.
Augmented Dickey-Fuller Test Equation
Dependent Variable: D(USDRI)
Method: Least Squares
Date: 05/25/14 Time: 14:13
Sample (adjusted): 2 1040
Included observations: 1039 after adjustments Coefficient Std. Error t-Statistic Prob.
USDRI(-1) -1.020336 0.031028 -32.88399 0.0000
C 8.52E-05 0.000174 0.490195 0.6241
R-squared 0.510470 Mean dependent var 5.78E-06
Adjusted R-squared 0.509998 S.D. dependent var 0.008003
S.E. of regression 0.005602 Akaike info criterion -7.529503
Sum squared resid 0.032542 Schwarz criterion -7.519983
Log likelihood 3913.577 Hannan-Quinn criter. -7.525891
F-statistic 1081.357 Durbin-Watson stat 2.000378
Prob(F-statistic) 0.000000
KPSS test
Null Hypothesis: USDRI is stationary
Exogenous: Constant
Bandwidth: 1 (Newey-West using Bartlett kernel) LM-Stat.
Kwiatkowski-Phillips-Schmidt-Shin test statistic 0.290903
Asymptotic critical values*: 1% level 0.739000
5% level 0.463000
10% level 0.347000
*Kwiatkowski-Phillips-Schmidt-Shin (1992, Table 1)
Residual variance (no correction) 3.13E-05
HAC corrected variance (Bartlett kernel) 3.07E-05
KPSS Test Equation
Dependent Variable: USDRI
Method: Least Squares
Date: 05/25/14 Time: 14:13
Sample (adjusted): 1 1040
Included observations: 1040 after adjustments Coefficient Std. Error t-Statistic Prob.
C 7.76E-05 0.000174 0.446696 0.6552
R-squared 0.000000 Mean dependent var 7.76E-05
Adjusted R-squared 0.000000 S.D. dependent var 0.005601
S.E. of regression 0.005601 Akaike info criterion -7.530770
Sum squared resid 0.032595 Schwarz criterion -7.526013
Log likelihood 3917.000 Hannan-Quinn criter. -7.528966
Durbin-Watson stat 2.039465
ARIMA Models
CHF Returns
Dependent Variable: CHFRI
Method: Least Squares
Date: 05/25/14 Time: 14:14
Sample (adjusted): 3 1040
Included observations: 1038 after adjustments
Convergence achieved after 33 iterations
MA Backcast: 1 2 Coefficient Std. Error t-Statistic Prob.
C 0.000243 0.000246 0.988182 0.3233
AR(1) -1.063204 0.069953 -15.19888 0.0000
AR(2) -0.879592 0.060323 -14.58132 0.0000
MA(1) 1.037030 0.070387 14.73331 0.0000
MA(2) 0.878931 0.060638 14.49478 0.0000
R-squared 0.014346 Mean dependent var 0.000236
Adjusted R-squared 0.010530 S.D. dependent var 0.008038
S.E. of regression 0.007995 Akaike info criterion -6.815163
Sum squared resid 0.066032 Schwarz criterion -6.791343
Log likelihood 3542.070 Hannan-Quinn criter. -6.806126
F-statistic 3.758828 Durbin-Watson stat 2.048792
Prob(F-statistic) 0.004824
Inverted AR Roots -.53+.77i -.53-.77i
Inverted MA Roots -.52-.78i -.52+.78i
Breusch-Godfrey Serial Correlation LM Test:
F-statistic 0.721244 Prob. F(2,1031) 0.4864
Obs*R-squared 1.450242 Prob. Chi-Square(2) 0.4843
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 05/25/14 Time: 14:19
Sample: 3 1040
Included observations: 1038
Presample missing value lagged residuals set to zero. Coefficient Std. Error t-Statistic Prob.
C 4.47E-07 0.000246 0.001818 0.9985
AR(1) 0.014618 0.071553 0.204298 0.8382
AR(2) 0.002295 0.063598 0.036081 0.9712
MA(1) -0.010088 0.073829 -0.136643 0.8913
MA(2) 0.006300 0.064318 0.097952 0.9220
RESID(-1) -0.029627 0.037115 -0.798255 0.4249
RESID(-2) -0.028110 0.036813 -0.763589 0.4453
R-squared 0.001397 Mean dependent var -8.39E-07
Adjusted R-squared -0.004414 S.D. dependent var 0.007980
S.E. of regression 0.007997 Akaike info criterion -6.812708
Sum squared resid 0.065939 Schwarz criterion -6.779359
Log likelihood 3542.795 Hannan-Quinn criter. -6.800056
F-statistic 0.240413 Durbin-Watson stat 2.002128
Prob(F-statistic) 0.963111
USD Returns
Dependent Variable: USDRI
Method: Least Squares
Date: 05/25/14 Time: 14:19
Sample (adjusted): 3 1040
Included observations: 1038 after adjustments
Convergence achieved after 29 iterations
MA Backcast: 1 2 Coefficient Std. Error t-Statistic Prob.
C 8.43E-05 0.000174 0.484618 0.6280
AR(1) -1.841945 0.010730 -171.6579 0.0000
AR(2) -0.966332 0.010579 -91.34066 0.0000
MA(1) 1.865845 0.009159 203.7069 0.0000
MA(2) 0.983043 0.009041 108.7301 0.0000
R-squared 0.024812 Mean dependent var 8.18E-05
Adjusted R-squared 0.021036 S.D. dependent var 0.005603
S.E. of regression 0.005543 Akaike info criterion -7.547580
Sum squared resid 0.031744 Schwarz criterion -7.523760
Log likelihood 3922.194 Hannan-Quinn criter. -7.538543
F-statistic 6.570700 Durbin-Watson stat 2.039807
Prob(F-statistic) 0.000032
Inverted AR Roots -.92-.34i -.92+.34i
Inverted MA Roots -.93+.34i -.93-.34i
Breusch-Godfrey Serial Correlation LM Test:
F-statistic 0.430776 Prob. F(2,1031) 0.6501
Obs*R-squared 0.866677 Prob. Chi-Square(2) 0.6483
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 05/25/14 Time: 14:20
Sample: 3 1040
Included observations: 1038
Presample missing value lagged residuals set to zero. Coefficient Std. Error t-Statistic Prob.
C -1.76E-08 0.000174 -0.000101 0.9999
AR(1) -9.37E-05 0.010979 -0.008538 0.9932
AR(2) 4.95E-05 0.010856 0.004558 0.9964
MA(1) 0.000194 0.009155 0.021228 0.9831
MA(2) 0.000207 0.009023 0.022993 0.9817
RESID(-1) -0.020707 0.032223 -0.642622 0.5206
RESID(-2) -0.020663 0.032194 -0.641842 0.5211
R-squared 0.000835 Mean dependent var 6.24E-08
Adjusted R-squared -0.004980 S.D. dependent var 0.005533
S.E. of regression 0.005547 Akaike info criterion -7.544562
Sum squared resid 0.031718 Schwarz criterion -7.511214
Log likelihood 3922.628 Hannan-Quinn criter. -7.531910
F-statistic 0.143592 Durbin-Watson stat 1.999343
Prob(F-statistic) 0.990281
Vector Autoregression
Lag length selection
VAR Lag Order Selection Criteria
Endogenous variables: USDRI CHFRI
Exogenous variables: C
Date: 05/25/14 Time: 14:23
Sample: 1 1302
Included observations: 1032
Lag LogL LR FPE AIC SC HQ
0 7407.838 NA 2.00e-09 -14.35240 -14.34283 -14.34877
1 7431.294 46.77471* 1.93e-09* -14.39010* -14.36139* -14.37921*
2 7432.890 3.176311 1.94e-09 -14.38545 -14.33758 -14.36728
3 7433.891 1.988292 1.95e-09 -14.37963 -14.31263 -14.35421
4 7436.930 6.024862 1.95e-09 -14.37777 -14.29162 -14.34508
5 7439.511 5.106776 1.96e-09 -14.37502 -14.26973 -14.33506
6 7440.053 1.071295 1.97e-09 -14.36832 -14.24388 -14.32110
7 7440.572 1.021836 1.99e-09 -14.36157 -14.21799 -14.30708
8 7442.384 3.564470 1.99e-09 -14.35733 -14.19461 -14.29558
* indicates lag order selected by the criterion
LR: sequential modified LR test statistic (each test at 5% level)
FPE: Final prediction error
AIC: Akaike information criterion
SC: Schwarz information criterion
HQ: Hannan-Quinn information criterion
VAR results
Vector Autoregression Estimates
Date: 05/25/14 Time: 14:22
Sample (adjusted): 2 1040
Included observations: 1039 after adjustments
Standard errors in ( ) & t-statistics in [ ] USDRI CHFRI
USDRI(-1) -0.018996 0.285735
(0.03123) (0.04386)
[-0.60819] [ 6.51487]
CHFRI(-1) -0.008408 -0.079145
(0.02178) (0.03059)
[-0.38602] [-2.58760]
C 8.72E-05 0.000236
(0.00017) (0.00024)
[ 0.50105] [ 0.96703]
R-squared 0.000558 0.042478
Adj. R-squared -0.001372 0.040630
Sum sq. resids 0.032538 0.064155
S.E. equation 0.005604 0.007869
F-statistic 0.289114 22.97999
Log likelihood 3913.652 3560.962
Akaike AIC -7.527722 -6.848819
Schwarz SC -7.513441 -6.834538
Mean dependent 8.36E-05 0.000239
S.D. dependent 0.005600 0.008034
Determinant resid covariance (dof adj.) 1.92E-09
Determinant resid covariance 1.91E-09
Log likelihood 7481.819
Akaike information criterion -14.39041
Schwarz criterion -14.36185
Residual tests
VAR Residual Serial Correlation LM Tests Null Hypothesis: no serial correlation at lag order h
Date: 05/25/14 Time: 14:24
Sample: 1 1302
Included observations: 1039
Lags LM-Stat Prob
1 2.491034 0.6462
2 2.814043 0.5894
3 2.565945 0.6329
4 7.349331 0.1185
5 2.955851 0.5652
6 2.068058 0.7232
7 0.506624 0.9729
8 6.584033 0.1596
9 9.069696 0.0594
10 3.832363 0.4292
11 2.800565 0.5917
12 8.754036 0.0676
Probs from chi-square with 4 df.
Impulse response
-.001
.000
.001
.002
.003
.004
.005
.006
1 2 3 4 5 6 7 8 9 10
Response of USDRI to USDRI
-.001
.000
.001
.002
.003
.004
.005
.006
1 2 3 4 5 6 7 8 9 10
Response of USDRI to CHFRI
-.002
.000
.002
.004
.006
.008
.010
1 2 3 4 5 6 7 8 9 10
Response of CHFRI to USDRI
-.002
.000
.002
.004
.006
.008
.010
1 2 3 4 5 6 7 8 9 10
Response of CHFRI to CHFRI
Response to Cholesky One S.D. Innovations ± 2 S.E.
Granger Causality test
VAR Granger Causality/Block Exogeneity Wald Tests
Date: 05/25/14 Time: 14:25
Sample: 1 1302
Included observations: 1039
Dependent variable: USDRI
Excluded Chi-sq df Prob.
CHFRI 0.149014 1 0.6995
All 0.149014 1 0.6995
Dependent variable: CHFRI
Excluded Chi-sq df Prob.
USDRI 42.44358 1 0.0000
All 42.44358 1 0.0000
Modelling volatility
ARCH/GARCH Models
CHF Returns
Dependent Variable: CHFRI
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 05/25/14 Time: 14:56
Sample (adjusted): 1 1040
Included observations: 1040 after adjustments
Convergence achieved after 17 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(1) + C(2)*RESID(-1)^2 + C(3)*GARCH(-1) Coefficient Std. Error z-Statistic Prob. Variance Equation
C 5.57E-07 2.04E-07 2.734451 0.0062
RESID(-1)^2 0.068714 0.010362 6.631598 0.0000
GARCH(-1) 0.923899 0.010134 91.17175 0.0000
R-squared -0.000922 Mean dependent var 0.000244
Adjusted R-squared -0.002852 S.D. dependent var 0.008032
S.E. of regression 0.008043 Akaike info criterion -7.010105
Sum squared resid 0.067087 Schwarz criterion -6.995835
Log likelihood 3648.254 Hannan-Quinn criter. -7.004691
Durbin-Watson stat 2.111643
Residual tests
Heteroskedasticity Test: ARCH
F-statistic 0.313551 Prob. F(1,1037) 0.5756
Obs*R-squared 0.314060 Prob. Chi-Square(1) 0.5752
Test Equation:
Dependent Variable: WGT_RESID^2
Method: Least Squares
Date: 05/25/14 Time: 14:58
Sample (adjusted): 2 1040
Included observations: 1039 after adjustments Coefficient Std. Error t-Statistic Prob.
C 1.021320 0.068563 14.89619 0.0000
WGT_RESID^2(-1) -0.017387 0.031051 -0.559956 0.5756
R-squared 0.000302 Mean dependent var 1.003859
Adjusted R-squared -0.000662 S.D. dependent var 1.967554
S.E. of regression 1.968204 Akaike info criterion 4.194044
Sum squared resid 4017.161 Schwarz criterion 4.203564
Log likelihood -2176.806 Hannan-Quinn criter. 4.197655
F-statistic 0.313551 Durbin-Watson stat 1.998994
Prob(F-statistic) 0.575630
. regress CHFRI
Source | SS df MS Number of obs = 1040
-------------+------------------------------ F( 0, 1039) = 0.00
Model | 0 0 . Prob > F = .
Residual | .067024755 1039 .000064509 R-squared = 0.0000
-------------+------------------------------ Adj R-squared = 0.0000
Total | .067024755 1039 .000064509 Root MSE = .00803
------------------------------------------------------------------------------
CHFRI | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | .0002437 .0002491 0.98 0.328 -.000245 .0007324
------------------------------------------------------------------------------
. . estat archlm, lags(1)
LM test for autoregressive conditional heteroskedasticity (ARCH)
---------------------------------------------------------------------------
lags(p) | chi2 df Prob > chi2
-------------+-------------------------------------------------------------
1 | 0.938 1 0.3329
---------------------------------------------------------------------------
H0: no ARCH effects vs. H1: ARCH(p) disturbance
USD Returns
Dependent Variable: USDRI
Method: ML - ARCH (Marquardt) - Normal distribution
Date: 05/25/14 Time: 15:00
Sample (adjusted): 1 1040
Included observations: 1040 after adjustments
Convergence achieved after 11 iterations
Presample variance: backcast (parameter = 0.7)
GARCH = C(1) + C(2)*RESID(-1)^2 + C(3)*GARCH(-1) Coefficient Std. Error z-Statistic Prob. Variance Equation
C 4.59E-07 1.67E-07 2.756415 0.0058
RESID(-1)^2 0.029916 0.004033 7.418559 0.0000
GARCH(-1) 0.955801 0.005013 190.6546 0.0000
R-squared -0.000192 Mean dependent var 7.76E-05
Adjusted R-squared -0.002121 S.D. dependent var 0.005601
S.E. of regression 0.005607 Akaike info criterion -7.560051
Sum squared resid 0.032601 Schwarz criterion -7.545781
Log likelihood 3934.227 Hannan-Quinn criter. -7.554638
Durbin-Watson stat 2.039073
Residual tests
Heteroskedasticity Test: ARCH
F-statistic 0.183365 Prob. F(1,1037) 0.6686
Obs*R-squared 0.183686 Prob. Chi-Square(1) 0.6682
Test Equation:
Dependent Variable: WGT_RESID^2
Method: Least Squares
Date: 05/25/14 Time: 15:01
Sample (adjusted): 2 1040
Included observations: 1039 after adjustments Coefficient Std. Error t-Statistic Prob.
C 0.996038 0.089839 11.08697 0.0000
WGT_RESID^2(-1) 0.013297 0.031052 0.428211 0.6686
R-squared 0.000177 Mean dependent var 1.009482
Adjusted R-squared -0.000787 S.D. dependent var 2.712163
S.E. of regression 2.713231 Akaike info criterion 4.836080
Sum squared resid 7634.003 Schwarz criterion 4.845601
Log likelihood -2510.344 Hannan-Quinn criter. 4.839692
F-statistic 0.183365 Durbin-Watson stat 1.999370
Prob(F-statistic) 0.668587
. regress USDRI
Source | SS df MS Number of obs = 1040
-------------+------------------------------ F( 0, 1039) = 0.00
Model | 0 0 . Prob > F = .
Residual | .032595071 1039 .000031372 R-squared = 0.0000
-------------+------------------------------ Adj R-squared = 0.0000
Total | .032595071 1039 .000031372 Root MSE = .0056
------------------------------------------------------------------------------
USDRI | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | .0000776 .0001737 0.45 0.655 -.0002632 .0004184
------------------------------------------------------------------------------
. . estat archlm, lags(1)
LM test for autoregressive conditional heteroskedasticity (ARCH)
---------------------------------------------------------------------------
lags(p) | chi2 df Prob > chi2
-------------+-------------------------------------------------------------
1 | 1.115 1 0.2909
---------------------------------------------------------------------------
H0: no ARCH effects vs. H1: ARCH(p) disturbance
Forecasting
Using ARMA models
CHF Returns
USD Returns
-.020
-.015
-.010
-.005
.000
.005
.010
.015
.020
1050 1100 1150 1200 1250 1300
CHFRF ± 2 S.E.
Forecast: CHFRFActual: CHFRForecast sample: 1041 1302Included observations: 262
Root Mean Squared Error 0.008006Mean Absolute Error 0.005444Mean Abs. Percent Error 109.9064Theil Inequality Coefficient 0.968407 Bias Proportion 0.002774 Variance Proportion 0.985738 Covariance Proportion 0.011489
-.020
-.015
-.010
-.005
.000
.005
.010
.015
.020
1050 1100 1150 1200 1250 1300
USDRFF ± 2 S.E.
Forecast: USDRFFActual: USDRFForecast sample: 1041 1302Included observations: 262
Root Mean Squared Error 0.000363Mean Absolute Error 0.000214Mean Abs. Percent Error 254.6316Theil Inequality Coefficient 0.793899 Bias Proportion 0.000065 Variance Proportion 0.999236 Covariance Proportion 0.000699
Forecasting using VAR
Using VAR (1 lag)
-.06
-.04
-.02
.00
.02
.04
.06
1050 1100 1150 1200 1250 1300
Actual CHFR (Baseline Mean)
CHFR
-.04
-.02
.00
.02
.04
1050 1100 1150 1200 1250 1300
Actual USDR (Baseline Mean)
USDR