Proposed project for Alchemy Inc FIN 3150 Fall 2019 Assignment 8 - Evaluating sensitivity to risk Part 1. Select two companies that have stock prices continuously available for November 2014 through...

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Answered Same DayNov 11, 2021

Answer To: Proposed project for Alchemy Inc FIN 3150 Fall 2019 Assignment 8 - Evaluating sensitivity to risk...

Kushal answered on Nov 14 2021
167 Votes
Exxon Monthly
    date (end of month)    PPI: Secondary smelting of aluminum    construction spending ($)    Changein Construction Spending    vehicle miles traveled (millions)    CPI personal computers and peripherals    U. of M. index of consumer sentiment
    2019-10                        95.7        2014-10-01    135.1    Exon Price    Adjusted Close Price    Price Change
    2019-09    101.9    116828    -1.92%        39.730    95.5        2014-11-01    134.7    31-Oct-2019    67.570000    -4%        SUMMARY OUTPUT
    2019-08    105.8    119109    0.17%    288116    40.056    93.2        2014-12-01    134.5    30-Sep-2019    70.610000    3%
    2019-07    108.6    118902    2.60%    294336    39.745    89.8        2015-01-01    133.2    31-Aug-2019    68.480000    -8%        Regression Statistics
    2019-06    111.8    115887    2.84%    279690    38.586    98.4        2015-02-01    131.4    31-Jul-2019    74.360000    -3%        Multiple R    0.0801967872
    2019-05    115.3    112691    5.53%    286395    39.339    98.2        2015-03-01    130.3    30-Jun-2019    76.630000    8%        R Square    0.0064315247
    2019-04    117.6    106786    7.13%    279148    39.603    100.0        2015-04-01    127.9    31-May-2019    70.770000    -12%        Adjusted R Square    -0.0113107695
    2019-03    118    99683    10.76%    270177    39.889    97.2        2015-05-01    126.1    30-Apr-2019    80.280000    -1%        Standard Error    0.0518526108
    2019-02    118.6    90000    1.38%    224137    39.649    98.4        2015-06-01    123.0    31-Mar-2019    80.800000    2%        Observations    58
    2019-01    120.9    88772    -6.96%    247149    40.044    93.8        2015-07-01    119.8    28-Feb-2019    79.030000    8%
    2018-12    122.5    95415    -10.48%    269706    40.110    91.2        2015-08-01    117.0    31-Jan-2019    73.280000    7%        ANOVA
    2018-11    126    106590    -7.31%    258574    39.841    98.3        2015-09-01    114.1    31-Dec-2018    68.190000    -14%            df    SS    MS    F    Significance F
    2018-10    127.3    115002    -3.33%    282230    40.573    97.5        2015-10-01    112.2    30-Nov-2018    79.500000    -0%        Regression    1    0.0009746427    0.0009746427    0.3624967894    0.5495529253
    2018-09    128.9    118968    -1.99%    263175    41.092    98.6
        2015-11-01    111.0    31-Oct-2018    79.680000    -6%        Residual    56    0.1505668218    0.0026886932
    2018-08    127.4    121385    -0.51%    285979    40.575    100.1        2015-12-01    110.3    30-Sep-2018    85.020000    6%        Total    57    0.1515414645
    2018-07    129.8    122010    1.92%    289390    40.230    96.2        2016-01-01    110.4    31-Aug-2018    80.170000    -2%
    2018-06    130.6    119712    3.01%    280583    40.986    97.9        2016-02-01    110.7    31-Jul-2018    81.510000    -1%            Coefficients    Standard Error    t Stat    P-value    Lower 95%    Upper 95%    Lower 95.0%    Upper 95.0%
    2018-05    130.7    116215    7.72%    283417    41.370    98.2        2016-03-01    111.5    30-Jun-2018    82.730000    2%        Intercept    -0.0033255451    0.0068380755    -0.4863276382    0.6286327172    -0.0170238565    0.0103727662    -0.0170238565    0.0103727662
    2018-04    128.4    107882    6.35%    272444    41.424    98.0        2016-04-01    111.4    31-May-2018    81.240000    4%        X Variable 1    0.0648320567    0.1076806621    0.6020770627    0.5495529253    -0.1508782302    0.2805423436    -0.1508782302    0.2805423436
    2018-03    126.9    101444    8.86%    269229    41.249    98.8        2016-05-01    111.3    30-Apr-2018    77.750000    4%
    2018-02    126    93191    4.20%    225146    41.278    101.4        2016-06-01    110.2    31-Mar-2018    74.610000    -1%
    2018-01    124.3    89433    -8.31%    243483    41.455    99.7        2016-07-01    109.3    28-Feb-2018    75.740000    -13%        3. Change
    2017-12    123    97535    -9.74%    267958    41.353    95.7        2016-08-01    109.4    31-Jan-2018    87.300000    4%        1% change in the construction spending will lead to 0.06483% change in the stock price
    2017-11    122.1    108061    -4.27%    258159    42.040    95.9        2016-09-01    109.5    31-Dec-2017    83.640000    0%
    2017-10    121.3    112886    -1.35%    278888    42.284    98.5        2016-10-01    109.0    30-Nov-2017    83.290000    -0%
    2017-09    119.3    114433    -1.88%    265212    42.190    100.7        2016-11-01    108.8    31-Oct-2017    83.350000    2%        4. Statistically Significant
    2017-08    117.1    116631    0.80%    282558    42.451    95.1        2016-12-01    109.1    30-Sep-2017    81.980000    7%
    2017-07    116.6    115703    0.58%    288566    42.973    96.8        2017-01-01    109.4    31-Aug-2017    76.330000    -5%        here due to very low R-squared value, and very high p values, we can see the stock price change and the economic variable is not statistically significant.
    2017-06    116.5    115035    4.56%    280290    42.561    93.4        2017-02-01    111.1    31-Jul-2017    80.040000    -1%
    2017-05    116.7    110017    7.47%    281264    42.361    95.0        2017-03-01    114.5    30-Jun-2017    80.730000    0%        5. Natural Risk
    2017-04    116.6    102367    4.16%    272864    42.896    97.1        2017-04-01    116.6    31-May-2017    80.500000    -1%        Due to the positive co-efficent , the natural risk associated with the vairable is long.
    2017-03    114.5    98283    11.11%    268343    42.818    97.0        2017-05-01    116.7    30-Apr-2017    81.650000    -0%
    2017-02    111.1    88459    2.34%    225644    43.369    96.9        2017-06-01    116.5    31-Mar-2017    82.010000    1%        6. Stock Volatility elimination
    2017-01    109.4    86433    -10.18%    242600    43.475    96.3        2017-07-01    116.6    28-Feb-2017    81.320000    -3%        Only 0.6% volatility of the stock can be eliminated based on the r-squared
    2016-12    109.1    96226    -8.74%    264778    43.377    98.5        2017-08-01    117.1    31-Jan-2017    83.890000    -7%
    2016-11    108.8    105436    -4.68%    255154    43.576    98.2        2017-09-01    119.3    31-Dec-2016    90.260000    3%
    2016-10    109    110613    -0.91%    275610    43.721    93.8        2017-10-01    121.3    30-Nov-2016    87.300000    5%
    2016-09    109.5    111628    -0.96%    262039    43.770    87.2        2017-11-01    122.1    31-Oct-2016    83.320000    -5%
    2016-08    109.4    112714    1.79%    279213    43.917    91.2        2017-12-01    123.0    30-Sep-2016    87.280000    0%
    2016-07    109.3    110734    -0.06%    285160    44.205    89.8        2018-01-01    124.3    31-Aug-2016    87.140000    -2%
    2016-06    110.2    110801    8.16%    276991    44.496    90.0        2018-02-01    126.0    31-Jul-2016    88.950000    -5%
    2016-05    111.3    102438    6.12%    277972    44.853    93.5        2018-03-01    126.9    30-Jun-2016    93.740000    5%
    2016-04    111.4    96532    5.00%    269653    45.282    94.7        2018-04-01    128.4    31-May-2016    89.020000    1%
    2016-03    111.5    91939    11.62%    265147    45.269    89.0        2018-05-01    130.7    30-Apr-2016    88.400000    6%
    2016-02    110.7    82367    3.00%    223011    45.249    91.0        2018-06-01    130.6    31-Mar-2016    83.590000    4%
    2016-01    110.4    79965    -9.23%    239679    45.424    91.7        2018-07-01    129.8    29-Feb-2016    80.150000    3%
    2015-12    110.3    88092    -7.57%    259424    45.997    92.0        2018-08-01    127.4    31-Jan-2016    77.850000    -0%
    2015-11    111    95306    -8.25%    248843    46.716    92.6        2018-09-01    128.9    31-Dec-2015    77.950000    -5%
    2015-10    112.2    103878    -2.33%    268469    47.094    91.3        2018-10-01    127.3    30-Nov-2015    81.660000    -1%
    2015-09    114.1    106359    -0.88%    255090    47.359    90.0        2018-11-01    126.0    31-Oct-2015    82.740000    11%
    2015-08    117    107303    0.88%    272209    47.132    87.2        2018-12-01    122.5    30-Sep-2015    74.350000    -1%
    2015-07    119.8    106370    0.74%    278372    47.892    91.9        2019-01-01    120.9    31-Aug-2015    75.240000    -5%
    2015-06    123    105593    8.55%    270574    48.164    93.1        2019-02-01    118.6    31-Jul-2015    79.210000    -5%
    2015-05    126.1    97280    7.32%    270839    48.667    96.1        2019-03-01    118.0    30-Jun-2015    83.200000    -2%
    2015-04    127.9    90647    9.32%    262817    49.047    90.7        2019-04-01    117.6    31-May-2015    85.200000    -2%
    2015-03    130.3    82916    12.39%    258017    48.772    95.9        2019-05-01    115.3    30-Apr-2015    87.370000    3%
    2015-02    131.4    73778    0.83%    217220    49.111    93.0        2019-06-01    111.8    31-Mar-2015    85.000000    -4%
    2015-01    133.2    73171    -8.97%    233498    48.913    95.4        2019-07-01    108.6    28-Feb-2015    88.540000    1%
    2014-12    134.5    80385    -7.03%    252271    49.089    98.1        2019-08-01    105.8    31-Jan-2015    87.420000    -5%
    2014-11    134.7    86464    -9.08%    241451    50.212    93.6        2019-09-01    101.9    31-Dec-2014    92.450000    2%
    2014-10    135.1    95095        265144    50.930    88.8                30-Nov-2014    90.540000
Chevron monthly
    date (end of month)    PPI: Secondary smelting of aluminum    construction spending ($)    Changein Construction Spending    vehicle miles traveled (millions)    CPI personal computers and peripherals    U. of M. index of consumer sentiment                Chevron Oil price    Adjusted Close Price    Price Change
    2019-10                        95.7        2014-10-01    135.1    31-Oct-2019    116.140000    -2%
    2019-09    101.9    116828    -1.92%        39.730    95.5        2014-11-01    134.7    30-Sep-2019    118.600000    1%        SUMMARY OUTPUT
    2019-08    105.8    119109    0.17%    288116    40.056    93.2        2014-12-01    134.5    31-Aug-2019    117.720000    -4%
    2019-07    108.6    118902    2.60%    294336    39.745    89.8        2015-01-01    133.2    31-Jul-2019    123.110000    -1%        Regression Statistics
    2019-06    111.8    115887    2.84%    279690    38.586    98.4        2015-02-01    131.4    30-Jun-2019    124.440000    9%        Multiple R    0.0803362536
    2019-05    115.3    112691    5.53%    286395    39.339    98.2        2015-03-01    130.3    31-May-2019    113.850000    -5%        R Square    0.0064539136
    2019-04    117.6    106786    7.13%    279148    39.603    100.0        2015-04-01    127.9    30-Apr-2019    120.060000    -3%        Adjusted R Square    -0.0109767194
    2019-03    118    99683    10.76%    270177    39.889    97.2        2015-05-01    126.1    31-Mar-2019    123.180000    3%        Standard Error    0.0568847532
    2019-02    118.6    90000    1.38%    224137    39.649    98.4        2015-06-01    123.0    28-Feb-2019    119.580000    4%        Observations    59
    2019-01    120.9    88772    -6.96%    247149    40.044    93.8        2015-07-01    119.8    31-Jan-2019    114.650000    5%
    2018-12    122.5    95415    -10.48%    269706    40.110    91.2        2015-08-01    117.0    31-Dec-2018    108.790000    -9%        ANOVA
    2018-11    126    106590    -7.31%    258574    39.841    98.3        2015-09-01    114.1    30-Nov-2018    118.940000    7%            df    SS    MS    F    Significance F
    2018-10    127.3    115002    -3.33%    282230    40.573    97.5        2015-10-01    112.2    31-Oct-2018    111.650000    -9%        Regression    1    0.0011981239    0.0011981239    0.3702627215    0.5452784195
    2018-09    128.9    118968    -1.99%    263175    41.092    98.6        2015-11-01    111.0    30-Sep-2018    122.280000    3%        Residual    57    0.1844448831    0.0032358751
    2018-08    127.4    121385    -0.51%    285979    40.575    100.1        2015-12-01    110.3    31-Aug-2018    118.460000    -6%        Total    58    0.1856430071
    2018-07    129.8    122010    1.92%    289390    40.230    96.2        2016-01-01    110.4    31-Jul-2018    126.270000    -0%
    2018-06    130.6    119712    3.01%    280583    40.986    97.9        2016-02-01    110.7    30-Jun-2018    126.430000    2%            Coefficients    Standard Error    t Stat    P-value    Lower 95%    Upper 95%    Lower 95.0%    Upper 95.0%
    2018-05    130.7    116215    7.72%    283417    41.370    98.2        2016-03-01    111.5    31-May-2018    124.300000    -1%        Intercept    0.0022583221    0.0074337988    0.3037911183    0.7623932354    -0.0126276033    0.0171442474    -0.0126276033    0.0171442474
    2018-04    128.4    107882    6.35%    272444    41.424    98.0        2016-04-01    111.4    30-Apr-2018    125.110000    10%        X Variable 1    0.0717862743    0.1179740312    0.6084921704    0.5452784195    -0.1644526482    0.3080251967    -0.1644526482    0.3080251967
    2018-03    126.9    101444    8.86%    269229    41.249    98.8        2016-05-01    111.3    31-Mar-2018    114.040000    2%
    2018-02    126    93191    4.20%    225146    41.278    101.4        2016-06-01    110.2    28-Feb-2018    111.920000    -11%
    2018-01    124.3    89433    -8.31%    243483    41.455    99.7        2016-07-01    109.3    31-Jan-2018    125.350000    0%
    2017-12    123    97535    -9.74%    267958    41.353    95.7        2016-08-01    109.4    31-Dec-2017    125.190000    5%        1% change in the construction spending will lead to 0.07% change in the stock price
    2017-11    122.1    108061    -4.27%    258159    42.040    95.9        2016-09-01    109.5    30-Nov-2017    118.990000    3%
    2017-10    121.3    112886    -1.35%    278888    42.284    98.5        2016-10-01    109.0    31-Oct-2017    115.890000    -1%
    2017-09    119.3    114433    -1.88%    265212    42.190    100.7        2016-11-01    108.8    30-Sep-2017    117.500000    9%        4. Statistically Significant
    2017-08    117.1    116631    0.80%    282558    42.451    95.1        2016-12-01    109.1    31-Aug-2017    107.620000    -1%
    2017-07    116.6    115703    0.58%    288566    42.973    96.8        2017-01-01    109.4    31-Jul-2017    109.190000    5%        here due to very low R-squared value, and very high p values, we can see the stock price change and the economic variable is not statistically significant.
    2017-06    116.5    115035    4.56%    280290    42.561    93.4        2017-02-01    111.1    30-Jun-2017    104.330000    1%
    2017-05    116.7    110017    7.47%    281264    42.361    95.0        2017-03-01    114.5    31-May-2017    103.480000    -3%        5. Natural Risk
    2017-04    116.6    102367    4.16%    272864    42.896    97.1        2017-04-01    116.6    30-Apr-2017    106.700000    -1%        Due to the positive co-efficent , the natural risk associated with the vairable is long.
    2017-03    114.5    98283    11.11%    268343    42.818    97.0        2017-05-01    116.7    31-Mar-2017    107.370000    -5%
    2017-02    111.1    88459    2.34%    225644    43.369    96.9        2017-06-01    116.5    28-Feb-2017    112.500000    1%        6. Stock Volatility elimination
    2017-01    109.4    86433    -10.18%    242600    43.475    96.3        2017-07-01    116.6    31-Jan-2017    111.350000    -5%        Only 0.6% volatility of the stock can be eliminated based on the r-squared
    2016-12    109.1    96226    -8.74%    264778    43.377    98.5        2017-08-01    117.1    31-Dec-2016    117.700000    6%
    2016-11    108.8    105436    -4.68%    255154    43.576    98.2        2017-09-01    119.3    30-Nov-2016    111.560000    7%
    2016-10    109    110613    -0.91%    275610    43.721    93.8        2017-10-01    121.3    31-Oct-2016    104.750000    2%
    2016-09    109.5    111628    -0.96%    262039    43.770    87.2        2017-11-01    122.1    30-Sep-2016    102.920000    2%
    2016-08    109.4    112714    1.79%    279213    43.917    91.2        2017-12-01    123.0    31-Aug-2016    100.580000    -2%
    2016-07    109.3    110734    -0.06%    285160    44.205    89.8        2018-01-01    124.3    31-Jul-2016    102.480000    -2%
    2016-06    110.2    110801    8.16%    276991    44.496    90.0        2018-02-01    126.0    30-Jun-2016    104.830000    4%
    2016-05    111.3    102438    6.12%    277972    44.853    93.5        2018-03-01    126.9    31-May-2016    101.000000    -1%
    2016-04    111.4    96532    5.00%    269653    45.282    94.7        2018-04-01    128.4    30-Apr-2016    102.180000    7%
    2016-03    111.5    91939    11.62%    265147    45.269    89.0        2018-05-01    130.7    31-Mar-2016    95.400000    14%
    2016-02    110.7    82367    3.00%    223011    45.249    91.0        2018-06-01    130.6    29-Feb-2016    83.440000    -4%
    2016-01    110.4    79965    -9.23%    239679    45.424    91.7        2018-07-01    129.8    31-Jan-2016    86.470000    -4%
    2015-12    110.3    88092    -7.57%    259424    45.997    92.0        2018-08-01    127.4    31-Dec-2015    89.960000    -1%
    2015-11    111    95306    -8.25%    248843    46.716    92.6        2018-09-01    128.9    30-Nov-2015    91.320000    0%
    2015-10    112.2    103878    -2.33%    268469    47.094    91.3        2018-10-01    127.3    31-Oct-2015    90.880000    15%
    2015-09    114.1    106359    -0.88%    255090    47.359    90.0        2018-11-01    126.0    30-Sep-2015    78.880000    -3%
    2015-08    117    107303    0.88%    272209    47.132    87.2        2018-12-01    122.5    31-Aug-2015    80.990000    -8%
    2015-07    119.8    106370    0.74%    278372    47.892    91.9        2019-01-01    120.9    31-Jul-2015    88.480000    -8%
    2015-06    123    105593    8.55%    270574    48.164    93.1        2019-02-01    118.6    30-Jun-2015    96.470000    -6%
    2015-05    126.1    97280    7.32%    270839    48.667    96.1        2019-03-01    118.0    31-May-2015    103.000000    -7%
    2015-04    127.9    90647    9.32%    262817    49.047    90.7        2019-04-01    117.6    30-Apr-2015    111.060000    6%
    2015-03    130.3    82916    12.39%    258017    48.772    95.9        2019-05-01    115.3    31-Mar-2015    104.980000    -2%
    2015-02    131.4    73778    0.83%    217220    49.111    93.0        2019-06-01    111.8    28-Feb-2015    106.680000    4%
    2015-01    133.2    73171    -8.97%    233498    48.913    95.4        2019-07-01    108.6    31-Jan-2015    102.530000    -9%
    2014-12    134.5    80385    -7.03%    252271    49.089    98.1        2019-08-01    105.8    31-Dec-2014    112.180000    3%
    2014-11    134.7    86464    -9.08%    241451    50.212    93.6        2019-09-01    101.9    30-Nov-2014    108.870000    ERROR:#DIV/0!
    2014-10    135.1    95095        265144    50.930    88.8
Chevron daily
        S&P 500 Index    yield on BBB bonds    exchange rate for £    Change    Volatility index    West Texas intermediate crude oil price    Chevron price    Change
    2019-11-07    3085.18    3.36%    1.2820    -0.1920    3.36        121.890000    2%            SUMMARY OUTPUT
    2019-11-06    3076.78    3.28%    1.5867    0.2318    3.28        119.900000    -2%
    2019-11-05    3074.62    3.32%    1.2881    -0.0016    3.32        121.940000    0%            Regression Statistics
    2019-11-04    3078.27    3.27%    1.2901    -0.0038    3.27    56.330    121.570000    5%            Multiple R    0.0400614134
    2019-11-01    3066.91    3.24%    1.2950    0.0009    3.24    56.040    116.210000    0%            R Square    0.0016049168
    2019-10-31    3037.56    3.22%    1.2939    0.0052    3.22    54.020    116.140000    -0%            Adjusted R Square    0.0008404489
    2019-10-30    3046.77    3.28%    1.2872    -0.0026    3.28    54.850    116.360000    -1%            Standard Error    0.0141071895
    2019-10-29    3036.89    3.30%    1.2905    0.0035    3.30    55.340    118.130000    -0%            Observations    1308
    2019-10-28    3039.42    3.31%    1.2860    0.0021    3.31    55.600    118.480000    -0%
    2019-10-25    3022.55    3.29%    1.2833    0.0018    3.29    56.520    118.670000    1%            ANOVA
    2019-10-24    3010.29    3.27%    1.2810    -0.0059    3.27    56.110    117.580000    -0%                df    SS    MS    F    Significance F
    2019-10-23    3004.52    3.27%    1.2886    -0.0048    3.27    55.900    117.980000    0%            Regression    1    0.0004178056    0.0004178056    2.0993907409    0.1475978997
    2019-10-22    2995.99    3.27%    1.2948    -0.0027    3.27    54.210    117.800000    1%            Residual    1306    0.2599107115    0.0001990128
    2019-10-21    3006.72    3.31%    1.2983    0.0061    3.31    53.280    116.610000    2%            Total    1307    0.2603285171
    2019-10-18    2986.20    3.28%    1.2904    0.0040    3.28    53.750    114.740000    -1%
    2019-10-17    2997.95    3.30%    1.2853    -0.0001    3.30    53.890    115.350000    0%                Coefficients    Standard Error    t Stat    P-value    Lower 95%    Upper 95%    Lower 95.0%    Upper 95.0%
    2019-10-16    2989.69    3.30%    1.2854    0.0092    3.30    53.420    115.110000    -1%            Intercept    0.0000511706    0.0003900903    0.1311762813    0.8956560619    -0.0007141015    0.0008164427    -0.0007141015    0.0008164427
    2019-10-15    2995.68    3.33%    1.2737    0.0043    3.33    52.810    116.310000    0%            X Variable 1    -0.0553355405    0.0381906911    -1.448927445    0.1475978997    -0.130257354    0.019586273    -0.130257354    0.019586273
    2019-10-14    2966.15    3.34%    1.2683    0.0000    3.34    53.570    116.180000    0%
    2019-10-11    2970.27    3.34%    1.2683    0.0243    3.34    54.760    116.150000    1%            3. Change
    2019-10-10    2938.13    3.29%    1.2382    0.0137    3.29    53.570    114.590000    1%            1% change in the exchange rate will lead to -0.553% change in the stock price
    2019-10-09    2919.40    3.24%    1.2215    0.0007    3.24    52.630    113.140000    1%
    2019-10-08    2893.06    3.20%    1.2206    -0.0094    3.20    52.640    111.710000    -1%
    2019-10-07    2938.79    3.21%    1.2322    0.0011    3.21    52.760    113.260000    -1%            4. Statistically Significant
    2019-10-04    2952.01    3.17%    1.2309    -0.0065    3.17    52.840    113.850000    1%
    2019-10-03    2910.63    3.19%    1.2390    0.0063    3.19    52.410    113.150000    1%            here due to very low R-squared value, and very high p values, we can see the stock price change and the economic variable is not statistically significant.
    2019-10-02    2887.61    3.24%    1.2313    0.0058    3.24    52.670    112.290000    -3%
    2019-10-01    2940.25    3.26%    1.2242    -0.0051    3.26    53.600    116.010000    -2%            5. Natural Risk
    2019-09-30    2976.74    3.30%    1.2305    -0.0006    3.30    54.090    118.600000    0%            Due to the negative co-efficent , the natural risk associated with the vairable is short.
    2019-09-27    2961.79    3.28%    1.2312    -0.0025    3.28    55.950    118.600000    -1%
    2019-09-26    2977.62    3.29%    1.2343    -0.0016    3.29    56.240    120.160000    -3%            6. Stock Volatility elimination
    2019-09-25    2984.87    3.33%    1.2363    -0.0090    3.33    56.380    123.510000    -0%            Only 0.1% volatility of the stock can be eliminated based on the r-squared...
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