Solution - Replicating Regressions

Solution - Replicating Regressions#

# Output from previous execution
shortName quoteType currency volume totalAssets longBusinessSummary
ticker
SPY SPDR S&P 500 ETF USD 25604208 627773800448 The Trust seeks to achieve its investment obje...
EFA iShares MSCI EAFE ETF ETF USD 10653257 54985711616 The fund generally will invest at least 80% of...
EEM iShares MSCI Emerging Index Fun ETF USD 17962107 17468592128 The fund generally will invest at least 80% of...
PSP Invesco Global Listed Private E ETF USD 8928 277930496 The fund generally will invest at least 90% of...
QAI NYLI Hedge Multi-Strategy Track ETF USD 49257 637390272 The fund is a "fund of funds" which means it i...
HYG iShares iBoxx $ High Yield Corp ETF USD 22374708 15881510912 The underlying index is a rules-based index co...
DBC Invesco DB Commodity Index Trac ETF USD 478168 1387142912 The fund pursues its investment objective by i...
IYR iShares U.S. Real Estate ETF ETF USD 2699001 4990495744 The fund seeks to track the investment results...
IEF iShares 7-10 Year Treasury Bond ETF USD 2340833 32854654976 The underlying index measures the performance ...
BWX SPDR Bloomberg International Tr ETF USD 180426 959621824 The fund generally invests substantially all, ...
TIP iShares TIPS Bond ETF ETF USD 2132017 15497157632 The index tracks the performance of inflation-...
SHV iShares Short Treasury Bond ETF ETF USD 1850899 18620065792 The fund will invest at least 80% of its asset...
# Output from previous execution
BWX DBC EEM EFA HYG IEF IYR PSP QAI SHV SPY TIP
Date
2015-02-28 -0.010834 0.044253 0.044080 0.063378 0.022312 -0.024717 -0.025976 0.064102 0.034138 0.000181 0.056204 -0.012886
2015-03-31 -0.013922 -0.060539 -0.014973 -0.014286 -0.009478 0.008561 0.010745 -0.010454 -0.001667 -0.000091 -0.015706 -0.004819
2015-04-30 0.019579 0.071471 0.068527 0.036466 0.008714 -0.006330 -0.048160 0.053982 0.002004 0.000091 0.009834 0.006779
2015-05-31 -0.032312 -0.031711 -0.041045 0.001955 0.003555 -0.004164 -0.003311 0.026868 -0.000333 0.000000 0.012856 -0.010056
2015-06-30 -0.007442 0.016375 -0.029309 -0.031182 -0.018871 -0.016309 -0.043979 -0.019153 -0.013671 0.000091 -0.020312 -0.010246
... ... ... ... ... ... ... ... ... ... ... ... ...
2024-08-31 0.030519 -0.020815 0.009779 0.032603 0.015474 0.013458 0.054008 0.001225 0.007648 0.004979 0.023366 0.007990
2024-09-30 0.023484 0.007237 0.057413 0.007833 0.016971 0.013825 0.030631 0.051617 0.014548 0.004586 0.021005 0.014976
2024-10-31 -0.048497 0.014369 -0.030746 -0.052732 -0.009636 -0.033874 -0.034947 -0.013779 -0.005923 0.003576 -0.008924 -0.018469
2024-11-30 0.002212 -0.019920 -0.026772 -0.003156 0.016446 0.010209 0.040688 0.064952 0.022891 0.003697 0.059633 0.004981
2024-12-31 -0.032164 0.011994 -0.013676 -0.029502 -0.012152 -0.023790 -0.090579 -0.053956 -0.016640 0.000161 -0.020497 -0.017664

119 rows × 12 columns

# Output from previous execution
portfolio
Date
2015-02-28 0.011887
2015-03-31 0.001796
2015-04-30 0.000374
2015-05-31 0.004765
2015-06-30 -0.023278
... ...
2024-08-31 0.019085
2024-09-30 0.027655
2024-10-31 -0.022130
2024-11-30 0.034685
2024-12-31 -0.046241

119 rows × 1 columns

# Output from previous execution
OLS Regression Results
Dep. Variable: portfolio R-squared: 0.780
Model: OLS Adj. R-squared: 0.778
Method: Least Squares F-statistic: 414.7
Date: Tue, 07 Jan 2025 Prob (F-statistic): 2.86e-40
Time: 16:34:05 Log-Likelihood: 329.70
No. Observations: 119 AIC: -655.4
Df Residuals: 117 BIC: -649.8
Df Model: 1
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
const -0.0034 0.001 -2.332 0.021 -0.006 -0.001
SPY 0.6474 0.032 20.365 0.000 0.584 0.710
Omnibus: 3.740 Durbin-Watson: 1.968
Prob(Omnibus): 0.154 Jarque-Bera (JB): 3.181
Skew: 0.314 Prob(JB): 0.204
Kurtosis: 3.497 Cond. No. 22.7


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
# Output from previous execution
OLS Regression Results
Dep. Variable: portfolio R-squared: 0.825
Model: OLS Adj. R-squared: 0.822
Method: Least Squares F-statistic: 274.1
Date: Tue, 07 Jan 2025 Prob (F-statistic): 1.10e-44
Time: 16:34:05 Log-Likelihood: 343.45
No. Observations: 119 AIC: -680.9
Df Residuals: 116 BIC: -672.6
Df Model: 2
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
const -0.0027 0.001 -2.051 0.043 -0.005 -9.11e-05
SPY 0.4241 0.050 8.549 0.000 0.326 0.522
HYG 0.5404 0.098 5.492 0.000 0.346 0.735
Omnibus: 0.907 Durbin-Watson: 2.253
Prob(Omnibus): 0.635 Jarque-Bera (JB): 0.879
Skew: 0.204 Prob(JB): 0.644
Kurtosis: 2.898 Cond. No. 85.4


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
# Output from previous execution
Correlation between portfolio and replication: 90.85%.
Square of this correaltion is 82.54%
which equals the R-squared.
# Output from previous execution
Correlation between SPY and HYG is 81.9%
# Output from previous execution
  IYR PSP QAI IEF SHV EEM EFA HYG const BWX DBC SPY TIP
weights 0.25 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00
OLS Regression Results
Dep. Variable: portfolio R-squared: 1.000
Model: OLS Adj. R-squared: 1.000
Method: Least Squares F-statistic: 1.685e+29
Date: Tue, 07 Jan 2025 Prob (F-statistic): 0.00
Time: 16:34:05 Log-Likelihood: 4114.2
No. Observations: 119 AIC: -8202.
Df Residuals: 106 BIC: -8166.
Df Model: 12
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
const 1.735e-16 3.3e-17 5.259 0.000 1.08e-16 2.39e-16
BWX 1.665e-16 2.13e-15 0.078 0.938 -4.05e-15 4.39e-15
DBC 6.939e-18 6.74e-16 0.010 0.992 -1.33e-15 1.34e-15
EEM 7.008e-16 9.75e-16 0.719 0.474 -1.23e-15 2.63e-15
EFA 3.634e-16 1.57e-15 0.232 0.817 -2.74e-15 3.47e-15
HYG 2.776e-16 2.28e-15 0.122 0.903 -4.25e-15 4.8e-15
IEF 0.2500 3e-15 8.34e+13 0.000 0.250 0.250
IYR 0.2500 8.33e-16 3e+14 0.000 0.250 0.250
PSP 0.2500 1.08e-15 2.31e+14 0.000 0.250 0.250
QAI 0.2500 5.36e-15 4.66e+13 0.000 0.250 0.250
SHV 1.11e-15 1.58e-14 0.070 0.944 -3.02e-14 3.24e-14
SPY 0 1.56e-15 0 1.000 -3.1e-15 3.1e-15
TIP -1.665e-16 3.8e-15 -0.044 0.965 -7.69e-15 7.36e-15
Omnibus: 17.654 Durbin-Watson: 0.719
Prob(Omnibus): 0.000 Jarque-Bera (JB): 38.094
Skew: 0.563 Prob(JB): 5.35e-09
Kurtosis: 5.533 Cond. No. 702.


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
# Output from previous execution
OLS Regression Results
Dep. Variable: EEM R-squared: 0.789
Model: OLS Adj. R-squared: 0.761
Method: Least Squares F-statistic: 28.25
Date: Tue, 07 Jan 2025 Prob (F-statistic): 1.50e-23
Time: 16:34:05 Log-Likelihood: 221.60
No. Observations: 95 AIC: -419.2
Df Residuals: 83 BIC: -388.6
Df Model: 11
Covariance Type: nonrobust
coef std err t P>|t| [0.025 0.975]
const 0.0045 0.004 1.231 0.222 -0.003 0.012
BWX 0.8016 0.218 3.682 0.000 0.369 1.235
DBC -0.0003 0.073 -0.004 0.997 -0.145 0.144
EFA 0.5235 0.184 2.844 0.006 0.157 0.890
HYG -0.2021 0.237 -0.853 0.396 -0.673 0.269
IEF -0.8203 0.350 -2.343 0.022 -1.517 -0.124
IYR -0.0130 0.094 -0.139 0.890 -0.200 0.173
PSP -0.1470 0.142 -1.038 0.302 -0.429 0.135
QAI 1.9912 0.560 3.558 0.001 0.878 3.104
SHV -2.1211 3.064 -0.692 0.491 -8.215 3.973
SPY -0.2012 0.183 -1.098 0.275 -0.566 0.163
TIP 0.2022 0.431 0.469 0.640 -0.656 1.060
Omnibus: 1.305 Durbin-Watson: 2.314
Prob(Omnibus): 0.521 Jarque-Bera (JB): 1.215
Skew: -0.272 Prob(JB): 0.545
Kurtosis: 2.895 Cond. No. 1.19e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.19e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
# Output from previous execution
  BWX QAI EFA const TIP DBC IYR SHV HYG PSP SPY IEF
t-stats 3.7 3.6 2.8 1.2 0.5 -0.0 -0.1 -0.7 -0.9 -1.0 -1.1 -2.3
# Output from previous execution
../_images/a8c4e06a6246eab7534d78fd50249ae6f168d65185024ce479b2284ddf132348.png
# Output from previous execution
Correlation between EEM and Replicating Portfolio
In-Sample: 88.8%
Out-of-Sample: 85.0%
# Output from previous execution
../_images/99230f851c3b2087492dd14f3ca9885adf2b92a0c5b7dd9956acb384099455cc.png