Regression and Statistics Solved Paper Sample

QUESTION

 

Questions 1 – 3
The worksheet stock returns in the file Amazon_Data.xlsx contains data on monthly returns on Amazon.com stock (AMZN) and S&P500 index. The monthly returns are available for 229 months, from January 2000 to January 2019. The returns are simply proportional changes in the AMZN price and S&P index value, calculated at the market close at the end of each month. For example, a return of 4.0000 in a given month for AMZN indicates a 4% increase in the price of AMZN that month, which means that the new AMZN price is 1.04 times the closing price of the previous month. Similarly, a return of – 4.0000 indicates that the new AMZN price is 0.96 times the previous month price.

1. Consider an AMZN investor who bought AMZN stock at market open on January 1, 2000 and sold it at market close on the last trading day of January 2019. What is the most appropriate summary measure of the typical monthly return for this AMZN buy-and-hold strategy? Calculate that summary measure for this 229-month period.

A. 2.3039%
B. 1.3704%
C. 2.1516%
D. 1.7663 %

2. Using historical data on the monthly returns on AMZN as a representative sample of size n=229, how confident can you be that the monthly returns of AMZN are more likely to be positive than to be negative?

A. Less than 50% confident.
B. At least 50% confident but less than 68% confident.
C. At least 68% confident but less than 95% confident.
D. At least 95% confident but less than 98.5% confident.
E. At least 98.5% confident.

3. Find the beta for AMZN against S&P500 by running a regression with the AMZN return as the dependent variable and the S&P500 return as the independent variable. (Beta is just the slope coefficient in this regression.)

A. 0.259
B. 0.509
C. 1.667
D. 1.710
E. 11.891

Questions 4 – 6

The worksheet quarterlyrevenue in the file Amazon_Data.xlsx contains quarterly revenue data for Amazon.com (AMZN), starting from the first quarter in 2000 and up to the last quarter of 2018.

4. Run a regression with Quarterly Revenue as the dependent variable, and with time trend (Period Number) and the dummy variables representing Fiscal Quarter as the independent variables. What is the Standard Error of Regression for this regression? (Select the closest number from the choices below)

A. USD 1,445.475
B. USD 8,362.437
C. USD 8,756.599
D. USD 1,445,475,499
E. USD 8,362,437,233
F. USD 8,756,598,794

For Questions 5 and 6, run a simple regression with Quarterly Revenue as the dependent variable and with quarterly revenues from four quarters ago (i.e., same quarter from the previous year) as the independent variable.

5. Use this regression to provide a forecast for Amazon.com revenue for the first quarter of 2019.

A. USD 30.422 billion
B. USD 37,794 billion
C. USD 65.062 billion
D. USD 68,141 billion

6. Based on this regression, how confident can you be that Amazon.com revenues in the first quarter of 2019 will be at least $67.0 billion?

A. Less than 1% confident
B. At least 1% confident but less than 25% confident
C. At least 25% confident but less than 50% confident
D. At least 50% confident but less than 75% confident
E. At least 75% confident but less than 99% confident
F. At least 99% confident

 

Amazon Data

Date Year Month AMZN % return SP500 return
1/31/2000 2000 1 -15.1888 -5.0904
2/29/2000 2000 2 6.6796 -2.0108
3/31/2000 2000 3 -2.7223 9.6720
4/28/2000 2000 4 -17.6306 -3.0796
5/31/2000 2000 5 -12.4575 -2.1915
6/30/2000 2000 6 -24.8383 2.3934
7/31/2000 2000 7 -17.0396 -1.6341
8/31/2000 2000 8 37.7593 6.0699
9/29/2000 2000 9 -7.3795 -5.3483
10/31/2000 2000 10 -4.7154 -0.4949
11/30/2000 2000 11 -32.5939 -8.0069
12/29/2000 2000 12 -36.9620 0.4053
1/31/2001 2001 1 11.2450 3.4637
2/28/2001 2001 2 -41.1552 -9.2291
3/30/2001 2001 3 0.4172 -6.4205
4/30/2001 2001 4 54.2522 7.6814
5/31/2001 2001 5 5.7668 0.5090
6/29/2001 2001 6 -15.2187 -2.5004
7/31/2001 2001 7 -11.7314 -1.0772
8/31/2001 2001 8 -28.4227 -6.4108
9/28/2001 2001 9 -33.2215 -8.1723
10/31/2001 2001 10 16.9179 1.8099
11/30/2001 2001 11 62.1777 7.5176
12/31/2001 2001 12 -4.4170 0.7574
1/31/2002 2002 1 31.1460 -1.5574
2/28/2002 2002 2 -0.6342 -2.0766
3/28/2002 2002 3 1.4184 3.6739
4/30/2002 2002 4 16.7133 -6.1418
5/31/2002 2002 5 9.2271 -0.9081
6/28/2002 2002 6 -10.8612 -7.2455
7/31/2002 2002 7 -11.0215 -7.9004
8/30/2002 2002 8 3.3266 0.4881
9/30/2002 2002 9 6.6265 -11.0024
10/31/2002 2002 10 21.5317 8.6461
11/29/2002 2002 11 20.6095 5.7058
12/31/2002 2002 12 -19.1006 -6.0333
1/31/2003 2003 1 15.6697 -2.7415
2/28/2003 2003 2 0.7323 -1.7004
3/31/2003 2003 3 18.2644 0.8358
4/30/2003 2003 4 10.2190 8.1044
5/30/2003 2003 5 25.0959 5.0899
6/30/2003 2003 6 1.1981 1.1322
7/31/2003 2003 7 14.6476 1.6224
8/29/2003 2003 8 11.2392 1.7873
9/30/2003 2003 9 4.5553 -1.1944
10/31/2003 2003 10 12.3890 5.4961
11/28/2003 2003 11 -0.8451 0.7129
12/31/2003 2003 12 -2.5014 5.0765
1/30/2004 2004 1 -4.2189 1.7276
2/27/2004 2004 2 -14.6627 1.2209
3/31/2004 2004 3 0.6278 -1.6359
4/30/2004 2004 4 0.7394 -1.6791
5/28/2004 2004 5 11.2385 1.2083
6/30/2004 2004 6 12.1649 1.7989
7/30/2004 2004 7 -28.4559 -3.4291
8/31/2004 2004 8 -2.0041 0.2287
9/30/2004 2004 9 7.1316 0.9364
10/29/2004 2004 10 -16.4709 1.4014
11/30/2004 2004 11 16.2614 3.8595
12/31/2004 2004 12 11.6179 3.2458
1/31/2005 2005 1 -2.4159 -2.5290
2/28/2005 2005 2 -18.6025 1.8903
3/31/2005 2005 3 -2.5867 -1.9118
4/29/2005 2005 4 -5.5734 -2.0109
5/31/2005 2005 5 9.7342 2.9952
6/30/2005 2005 6 -6.8150 -0.0143
7/29/2005 2005 7 36.4461 3.5968
8/31/2005 2005 8 -5.4264 -1.1222
9/30/2005 2005 9 6.0890 0.6949
10/31/2005 2005 10 -12.0088 -1.7741
11/30/2005 2005 11 21.5755 3.5186
12/30/2005 2005 12 -2.7033 -0.0952
1/31/2006 2006 1 -4.9417 2.5467
2/28/2006 2006 2 -16.4659 0.0453
3/31/2006 2006 3 -2.4306 1.1065
4/28/2006 2006 4 -3.6135 1.2187
5/31/2006 2006 5 -1.7041 -3.0917
6/30/2006 2006 6 11.7596 0.0087
7/31/2006 2006 7 -30.4809 0.5086
8/31/2006 2006 8 14.6523 2.1274
9/29/2006 2006 9 4.1842 2.4566
10/31/2006 2006 10 18.5866 3.1508
11/30/2006 2006 11 5.9071 1.6467
12/29/2006 2006 12 -2.1815 1.2616
1/31/2007 2007 1 -4.5362 1.4059
2/28/2007 2007 2 3.9023 -2.1846
3/30/2007 2007 3 1.6607 0.9980
4/30/2007 2007 4 54.1342 4.3291
5/31/2007 2007 5 12.7344 3.2549
6/29/2007 2007 6 -1.0558 -1.7816
7/31/2007 2007 7 14.8078 -3.1982
8/31/2007 2007 8 1.7443 1.2864
9/28/2007 2007 9 16.5686 3.5794
10/31/2007 2007 10 -4.2941 1.4822
11/30/2007 2007 11 1.5816 -4.4043
12/31/2007 2007 12 2.2968 -0.8628
1/31/2008 2008 1 -16.1269 -6.1163
2/29/2008 2008 2 -17.0270 -3.4761
3/31/2008 2008 3 10.5941 -0.5960
4/30/2008 2008 4 10.2805 4.7547
5/30/2008 2008 5 3.8026 1.0674
6/30/2008 2008 6 -10.1568 -8.5962
7/31/2008 2008 7 4.1047 -0.9859
8/29/2008 2008 8 5.8554 1.2191
9/30/2008 2008 9 -9.9616 -9.0791
10/31/2008 2008 10 -21.3304 -16.9425
11/28/2008 2008 11 -25.4018 -7.4849
12/31/2008 2008 12 20.0937 0.7822
1/30/2009 2009 1 14.7036 -8.5657
2/27/2009 2009 2 10.1496 -10.9931
3/31/2009 2009 3 13.3508 8.5405
4/30/2009 2009 4 9.6405 9.3925
5/29/2009 2009 5 -3.1421 5.3081
6/30/2009 2009 6 7.2702 0.0196
7/31/2009 2009 7 2.5102 7.4142
8/31/2009 2009 8 -5.3288 3.3560
9/30/2009 2009 9 14.9895 3.5723
10/30/2009 2009 10 27.2601 -1.9762
11/30/2009 2009 11 14.3927 5.7364
12/31/2009 2009 12 -1.0227 1.7771
1/29/2010 2010 1 -6.7722 -3.6974
2/26/2010 2010 2 -5.5897 2.8514
3/31/2010 2010 3 14.6706 5.8796
4/30/2010 2010 4 0.9796 1.4759
5/28/2010 2010 5 -8.4902 -8.1976
6/30/2010 2010 6 -12.9125 -5.3882
7/30/2010 2010 7 7.8986 6.8778
8/31/2010 2010 8 5.8868 -4.7449
9/30/2010 2010 9 25.8191 8.7551
10/29/2010 2010 10 5.2018 3.6856
11/30/2010 2010 11 6.1551 -0.2290
12/31/2010 2010 12 2.6226 6.5300
1/31/2011 2011 1 -5.7556 2.2646
2/28/2011 2011 2 2.1516 3.1957
3/31/2011 2011 3 3.9471 -0.1047
4/29/2011 2011 4 8.7048 2.8495
5/31/2011 2011 5 0.4494 -1.3501
6/30/2011 2011 6 3.9656 -1.8258
7/29/2011 2011 7 8.8171 -2.1474
8/31/2011 2011 8 -3.2761 -5.6791
9/30/2011 2011 9 0.4646 -7.1762
10/31/2011 2011 10 -1.2579 10.7723
11/30/2011 2011 11 -9.9386 -0.5059
12/30/2011 2011 12 -9.9797 0.8533
1/31/2012 2012 1 12.3281 4.3583
2/29/2012 2012 2 -7.5859 4.0589
3/30/2012 2012 3 12.6996 3.1332
4/30/2012 2012 4 14.5129 -0.7497
5/31/2012 2012 5 -8.1889 -6.2651
6/29/2012 2012 6 7.2519 3.9555
7/31/2012 2012 7 2.1677 1.2598
8/31/2012 2012 8 6.4166 1.9763
9/28/2012 2012 9 2.4369 2.4236
10/31/2012 2012 10 -8.4252 -1.9791
11/30/2012 2012 11 8.2256 0.2848
12/31/2012 2012 12 -0.4682 0.7068
1/31/2013 2013 1 5.8317 5.0428
2/28/2013 2013 2 -0.4633 1.1061
3/28/2013 2013 3 0.8400 3.5988
4/30/2013 2013 4 -4.7582 1.8086
5/31/2013 2013 5 6.0636 2.0763
6/28/2013 2013 6 3.1538 -1.4999
7/31/2013 2013 7 8.4735 4.9462
8/30/2013 2013 8 -6.7193 -3.1298
9/30/2013 2013 9 11.2677 2.9749
10/31/2013 2013 10 16.4374 4.4596
11/29/2013 2013 11 8.1285 2.8049
12/31/2013 2013 12 1.3134 2.3563
1/31/2014 2014 1 -10.0554 -3.5583
2/28/2014 2014 2 0.9507 4.3117
3/31/2014 2014 3 -7.1072 0.6932
4/30/2014 2014 4 -9.5833 0.6201
5/30/2014 2014 5 2.7686 2.1030
6/30/2014 2014 6 3.9130 1.9058
7/31/2014 2014 7 -3.6301 -1.5080
8/29/2014 2014 8 8.3229 3.7655
9/30/2014 2014 9 -4.8962 -1.5514
10/31/2014 2014 10 -5.2661 2.3201
11/28/2014 2014 11 10.8623 2.4534
12/31/2014 2014 12 -8.3540 -0.4189
1/30/2015 2015 1 14.2355 -3.1041
2/27/2015 2015 2 7.2293 5.4893
3/31/2015 2015 3 -2.1202 -1.7396
4/30/2015 2015 4 13.3512 0.8521
5/29/2015 2015 5 1.7663 1.0491
6/30/2015 2015 6 1.1323 -2.1012
7/31/2015 2015 7 23.5113 1.9742
8/31/2015 2015 8 -4.3383 -6.2581
9/30/2015 2015 9 -0.1950 -2.6443
10/30/2015 2015 10 22.2724 8.2983
11/30/2015 2015 11 6.2151 0.0505
12/31/2015 2015 12 1.6682 -1.7530
1/29/2016 2016 1 -13.1515 -5.0735
2/29/2016 2016 2 -5.8739 -0.4128
3/31/2016 2016 3 7.4423 6.5991
4/29/2016 2016 4 11.1094 0.2699
5/31/2016 2016 5 9.5817 1.5329
6/30/2016 2016 6 -0.9920 0.0906
7/29/2016 2016 7 6.0353 3.5610
8/31/2016 2016 8 1.3640 -0.1219
9/30/2016 2016 9 8.8603 -0.1234
10/31/2016 2016 10 -5.6717 -1.9426
11/30/2016 2016 11 -4.9695 3.4174
12/30/2016 2016 12 -0.0933 1.8201
1/31/2017 2017 1 9.8164 1.7884
2/28/2017 2017 2 2.6182 3.7198
3/31/2017 2017 3 4.911 -0.0389
4/30/2017 2017 4 4.3371 0.9091
5/31/2017 2017 5 7.5276 1.1576
6/30/2017 2017 6 -2.6764 0.4814
7/31/2017 2017 7 2.0434 1.9349
8/31/2017 2017 8 -0.7269 0.0546
9/30/2017 2017 9 -1.9631 1.9303
10/31/2017 2017 10 14.9717 2.2188
11/30/2017 2017 11 6.4662 2.8083
12/31/2017 2017 12 -0.6187 0.9832
1/31/2018 2018 1 24.0639 5.6179
02/28/2018 2018 2 4.2429 -3.8947
03/31/2018 2018 3 -4.3049 -2.6885
04/30/2018 2018 4 8.2075 0.2719
05/31/2018 2018 5 4.0539 2.1608
06/30/2018 2018 6 4.3065 0.4842
07/31/2018 2018 7 4.5676 3.6022
08/31/2018 2018 8 13.2365 3.0263
09/30/2018 2018 9 -0.4824 0.4294
10/31/2018 2018 10 -20.2192 -6.9403
11/30/2018 2018 11 5.7672 1.7859
12/31/2018 2018 12 -11.1350 -9.1777
1/31/2019 2019 1 14.4317 7.8684
       

 

Variable Descriptions                      
Name   Units   Description              
Date   MM/DD/YYYY   This item denotes the last day of trading in a given month              
Year   YYYY   This item denotes year              
Month   MM   This item denotes month              
AMZN return   Number   This item denotes monthly return on AMZN in a given month              
SP500 return   Number   This item denotes monthly return on S&P500 index in a given month              
                       
(Data obtained from Wharton Research Data Services (WRDS) – Compustat)                    

 

 

ANSWER

 

1.Consider an AMZN investor who bought AMZN stock at market open on January 1, 2000 and sold it at market close on the last trading day of January 2019. What is the most appropriate summary measure of the typical monthly return for this AMZN buy-and-hold strategy? Calculate that summary measure for this 229-month period.

A. 2.3039%

B. 1.3704%

C. 2.1516%

D. 1.7663 %

Ans. A. 2.3039%

The value of AMZN % return is -15.1888% in Jan 2000, and 14.4317% in Jan 2019. According to the buy-and-hold strategy, the investors invest their money in the stocks for a long term. Therefore, one of the most appropriate summary measures for the typical monthly return for the AMZN buy-and-hold strategy by the given investor should be the mean percentage return value of AMZN.

The average of the AMZN percentage return comes out to be 2.3039%.

2. Using historical data on the monthly returns on AMZN as a representative sample of size n=229,how confident can you be that the monthly returns of AMZN are more likely to be positive than to be negative?

A. Less than 50% confident.

B. At least 50% confident but less than 68% confident.

C. At least 68% confident but less than 95% confident.

D. At least 95% confident but less than 98.5% confident.

E. At least 98.5% confident.

Ans. E. At least 98.5% confident.

No of successes (positive AMZN return) = 135/229 = 0.58952.

No of negatives (negative AMZN return) = 94/229 = 0.41048

Null Hypothesis – The monthly returns of AMZN are equally likely to be positive and negative.

Alternate Hypothesis – The monthly returns of AMZN are more likely to positive than to be negative.

At 98.5% Confidence Interval, z = 2.24.

So, the standard error of the estimate = 2.24*[(0.58952*0.41048)/229] = 0.072816

Range of probability = [(0.58952 – 0.072816), (0.58952 + 0.072816)] = [0.516704,0.662335]

As it can be observed that even at 98.5% Confidence, the probability is greater than 0.5, which depicts that there is not an equal probability of positive and negative return.

3.Find the beta for AMZN against S&P500 by running a regression with the AMZN return as the dependent variable and the S&P500 return as the independent variable. (Beta is just the slope coefficient in this regression.)

A. 0.259

B. 0.509

C. 1.667

D. 1.710

E. 11.891

Ans. C. 1.667

The regression model has been with AMZN return as the dependent variable with S&P500 return as the independent variable.

It can be clearly seen the slope coefficient i.e. Beta for this model is 1.667.

4.Run a regression with Quarterly Revenue as the dependent variable, and with time trend (Period Number) and the dummy variables representing Fiscal Quarter as the independent variables. What is the Standard Error of Regression for this regression? (Select the closest number from choices below)A. USD 1,445.475

B. USD 8,362.437

C. USD 8,756.599

D. USD 1,445,475,499

E. USD 8,362,437,233

F. USD 8,756,598,794

Ans. E. USD 8,362,437,233

The regression model has been built with Quarterly Revenue as the dependent variable, while Period Number & Dummy variables for the Fiscal Quarter as the independent variables.

The standard error of regression comes out to be USD 8362.437 million.

All the values given in figure are in Millions USD.

5.Use this regression to provide a forecast for Amazon.com revenue for the first quarter of 2019.

A. USD 30.422 billion

B. USD 37,794 billion

C. USD 65.062 billion

D. USD 68,141 billion

Ans. C. USD 65.062 billion

In this regression model, the Quarterly Revenue has been kept as the dependent variable, and the quarterly revenues four quarters ago (i.e., same quarter from the previous year) has been taken as the independent variable.

Predicted Value for a quarter = 51.26936 + (1.273674 * Same Quarter of Previous Year Revenue)

The values are present here in Million USD.

6.Based on this regression, how confident can you be that Amazon.com revenues in the first quarter of 2019 will be at least $67.0 billion?

A. Less than 1% confident

B. At least 1% confident but less than 25% confident

C. At least 25% confident but less than 50% confident

D. At least 50% confident but less than 75% confident

E. At least 75% confident but less than 99% confident

F. At least 99% confident

Ans. B. At least 1% confident but less than 25% confident

When the regression line was checked for 99% Confidence Interval, the slope of the variable i.e. Beta varied from 1.2392 to 1.308149. The values of upper and lower confidence interval at 99% are 67422.17 and 62702.11106 respectively. However, when these values were checked at 95% CI, those were 63284.5354 and 66839.75 respectively.

Hence, while telling that the Amazon.com revenues in the first quarter of 2019 would be at least $67.0 billion, we would be at least 1% confident but less than 25% confident.

 

Regression Stock

SUMMARY OUTPUT                  
                   
Regression Statistics                
Multiple R 0.509296197389589                
R Square 0.259382616675495                
Adjusted R Square 0.256119985030894                
Standard Error 11.8907356934092                
Observations 229                
                   
ANOVA                  
  df SS MS F Significance F        
Regression 1 11240.6202116634 11240.6202116634 79.5010423884945 1.62229157024757E-16        
Residual 227 32095.4381400271 141.389595330516            
Total 228 43336.0583516906              
                   
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%  
Intercept 1.70980112228447 0.788582352529088 2.16819602518483 0.031183412005486 0.155923638410927 3.26367860615802 0.155923638410927 3.26367860615802  
X Variable 1 1.66668842619251 0.18692526633145 8.91633570411608 1.62229157024718E-16 1.29835788774213 2.03501896464289 1.29835788774213 2.03501896464289

 

Stock Returns

Date Year Month AMZN % return SP500 return
1/31/2000 2000 1 -15.1888 -5.0904
2/29/2000 2000 2 6.6796 -2.0108
3/31/2000 2000 3 -2.7223 9.6720
4/28/2000 2000 4 -17.6306 -3.0796
5/31/2000 2000 5 -12.4575 -2.1915
6/30/2000 2000 6 -24.8383 2.3934
7/31/2000 2000 7 -17.0396 -1.6341
8/31/2000 2000 8 37.7593 6.0699
9/29/2000 2000 9 -7.3795 -5.3483
10/31/2000 2000 10 -4.7154 -0.4949
11/30/2000 2000 11 -32.5939 -8.0069
12/29/2000 2000 12 -36.9620 0.4053
1/31/2001 2001 1 11.2450 3.4637
2/28/2001 2001 2 -41.1552 -9.2291
3/30/2001 2001 3 0.4172 -6.4205
4/30/2001 2001 4 54.2522 7.6814
5/31/2001 2001 5 5.7668 0.5090
6/29/2001 2001 6 -15.2187 -2.5004
7/31/2001 2001 7 -11.7314 -1.0772
8/31/2001 2001 8 -28.4227 -6.4108
9/28/2001 2001 9 -33.2215 -8.1723
10/31/2001 2001 10 16.9179 1.8099
11/30/2001 2001 11 62.1777 7.5176
12/31/2001 2001 12 -4.4170 0.7574
1/31/2002 2002 1 31.1460 -1.5574
2/28/2002 2002 2 -0.6342 -2.0766
3/28/2002 2002 3 1.4184 3.6739
4/30/2002 2002 4 16.7133 -6.1418
5/31/2002 2002 5 9.2271 -0.9081
6/28/2002 2002 6 -10.8612 -7.2455
7/31/2002 2002 7 -11.0215 -7.9004
8/30/2002 2002 8 3.3266 0.4881
9/30/2002 2002 9 6.6265 -11.0024
10/31/2002 2002 10 21.5317 8.6461
11/29/2002 2002 11 20.6095 5.7058
12/31/2002 2002 12 -19.1006 -6.0333
1/31/2003 2003 1 15.6697 -2.7415
2/28/2003 2003 2 0.7323 -1.7004
3/31/2003 2003 3 18.2644 0.8358
4/30/2003 2003 4 10.2190 8.1044
5/30/2003 2003 5 25.0959 5.0899
6/30/2003 2003 6 1.1981 1.1322
7/31/2003 2003 7 14.6476 1.6224
8/29/2003 2003 8 11.2392 1.7873
9/30/2003 2003 9 4.5553 -1.1944
10/31/2003 2003 10 12.3890 5.4961
11/28/2003 2003 11 -0.8451 0.7129
12/31/2003 2003 12 -2.5014 5.0765
1/30/2004 2004 1 -4.2189 1.7276
2/27/2004 2004 2 -14.6627 1.2209
3/31/2004 2004 3 0.6278 -1.6359
4/30/2004 2004 4 0.7394 -1.6791
5/28/2004 2004 5 11.2385 1.2083
6/30/2004 2004 6 12.1649 1.7989
7/30/2004 2004 7 -28.4559 -3.4291
8/31/2004 2004 8 -2.0041 0.2287
9/30/2004 2004 9 7.1316 0.9364
10/29/2004 2004 10 -16.4709 1.4014
11/30/2004 2004 11 16.2614 3.8595
12/31/2004 2004 12 11.6179 3.2458
1/31/2005 2005 1 -2.4159 -2.5290
2/28/2005 2005 2 -18.6025 1.8903
3/31/2005 2005 3 -2.5867 -1.9118
4/29/2005 2005 4 -5.5734 -2.0109
5/31/2005 2005 5 9.7342 2.9952
6/30/2005 2005 6 -6.8150 -0.0143
7/29/2005 2005 7 36.4461 3.5968
8/31/2005 2005 8 -5.4264 -1.1222
9/30/2005 2005 9 6.0890 0.6949
10/31/2005 2005 10 -12.0088 -1.7741
11/30/2005 2005 11 21.5755 3.5186
12/30/2005 2005 12 -2.7033 -0.0952
1/31/2006 2006 1 -4.9417 2.5467
2/28/2006 2006 2 -16.4659 0.0453
3/31/2006 2006 3 -2.4306 1.1065
4/28/2006 2006 4 -3.6135 1.2187
5/31/2006 2006 5 -1.7041 -3.0917
6/30/2006 2006 6 11.7596 0.0087
7/31/2006 2006 7 -30.4809 0.5086
8/31/2006 2006 8 14.6523 2.1274
9/29/2006 2006 9 4.1842 2.4566
10/31/2006 2006 10 18.5866 3.1508
11/30/2006 2006 11 5.9071 1.6467
12/29/2006 2006 12 -2.1815 1.2616
1/31/2007 2007 1 -4.5362 1.4059
2/28/2007 2007 2 3.9023 -2.1846
3/30/2007 2007 3 1.6607 0.9980
4/30/2007 2007 4 54.1342 4.3291
5/31/2007 2007 5 12.7344 3.2549
6/29/2007 2007 6 -1.0558 -1.7816
7/31/2007 2007 7 14.8078 -3.1982
8/31/2007 2007 8 1.7443 1.2864
9/28/2007 2007 9 16.5686 3.5794
10/31/2007 2007 10 -4.2941 1.4822
11/30/2007 2007 11 1.5816 -4.4043
12/31/2007 2007 12 2.2968 -0.8628
1/31/2008 2008 1 -16.1269 -6.1163
2/29/2008 2008 2 -17.0270 -3.4761
3/31/2008 2008 3 10.5941 -0.5960
4/30/2008 2008 4 10.2805 4.7547
5/30/2008 2008 5 3.8026 1.0674
6/30/2008 2008 6 -10.1568 -8.5962
7/31/2008 2008 7 4.1047 -0.9859
8/29/2008 2008 8 5.8554 1.2191
9/30/2008 2008 9 -9.9616 -9.0791
10/31/2008 2008 10 -21.3304 -16.9425
11/28/2008 2008 11 -25.4018 -7.4849
12/31/2008 2008 12 20.0937 0.7822
1/30/2009 2009 1 14.7036 -8.5657
2/27/2009 2009 2 10.1496 -10.9931
3/31/2009 2009 3 13.3508 8.5405
4/30/2009 2009 4 9.6405 9.3925
5/29/2009 2009 5 -3.1421 5.3081
6/30/2009 2009 6 7.2702 0.0196
7/31/2009 2009 7 2.5102 7.4142
8/31/2009 2009 8 -5.3288 3.3560
9/30/2009 2009 9 14.9895 3.5723
10/30/2009 2009 10 27.2601 -1.9762
11/30/2009 2009 11 14.3927 5.7364
12/31/2009 2009 12 -1.0227 1.7771
1/29/2010 2010 1 -6.7722 -3.6974
2/26/2010 2010 2 -5.5897 2.8514
3/31/2010 2010 3 14.6706 5.8796
4/30/2010 2010 4 0.9796 1.4759
5/28/2010 2010 5 -8.4902 -8.1976
6/30/2010 2010 6 -12.9125 -5.3882
7/30/2010 2010 7 7.8986 6.8778
8/31/2010 2010 8 5.8868 -4.7449
9/30/2010 2010 9 25.8191 8.7551
10/29/2010 2010 10 5.2018 3.6856
11/30/2010 2010 11 6.1551 -0.2290
12/31/2010 2010 12 2.6226 6.5300
1/31/2011 2011 1 -5.7556 2.2646
2/28/2011 2011 2 2.1516 3.1957
3/31/2011 2011 3 3.9471 -0.1047
4/29/2011 2011 4 8.7048 2.8495
5/31/2011 2011 5 0.4494 -1.3501
6/30/2011 2011 6 3.9656 -1.8258
7/29/2011 2011 7 8.8171 -2.1474
8/31/2011 2011 8 -3.2761 -5.6791
9/30/2011 2011 9 0.4646 -7.1762
10/31/2011 2011 10 -1.2579 10.7723
11/30/2011 2011 11 -9.9386 -0.5059
12/30/2011 2011 12 -9.9797 0.8533
1/31/2012 2012 1 12.3281 4.3583
2/29/2012 2012 2 -7.5859 4.0589
3/30/2012 2012 3 12.6996 3.1332
4/30/2012 2012 4 14.5129 -0.7497
5/31/2012 2012 5 -8.1889 -6.2651
6/29/2012 2012 6 7.2519 3.9555
7/31/2012 2012 7 2.1677 1.2598
8/31/2012 2012 8 6.4166 1.9763
9/28/2012 2012 9 2.4369 2.4236
10/31/2012 2012 10 -8.4252 -1.9791
11/30/2012 2012 11 8.2256 0.2848
12/31/2012 2012 12 -0.4682 0.7068
1/31/2013 2013 1 5.8317 5.0428
2/28/2013 2013 2 -0.4633 1.1061
3/28/2013 2013 3 0.8400 3.5988
4/30/2013 2013 4 -4.7582 1.8086
5/31/2013 2013 5 6.0636 2.0763
6/28/2013 2013 6 3.1538 -1.4999
7/31/2013 2013 7 8.4735 4.9462
8/30/2013 2013 8 -6.7193 -3.1298
9/30/2013 2013 9 11.2677 2.9749
10/31/2013 2013 10 16.4374 4.4596
11/29/2013 2013 11 8.1285 2.8049
12/31/2013 2013 12 1.3134 2.3563
1/31/2014 2014 1 -10.0554 -3.5583
2/28/2014 2014 2 0.9507 4.3117
3/31/2014 2014 3 -7.1072 0.6932
4/30/2014 2014 4 -9.5833 0.6201
5/30/2014 2014 5 2.7686 2.1030
6/30/2014 2014 6 3.9130 1.9058
7/31/2014 2014 7 -3.6301 -1.5080
8/29/2014 2014 8 8.3229 3.7655
9/30/2014 2014 9 -4.8962 -1.5514
10/31/2014 2014 10 -5.2661 2.3201
11/28/2014 2014 11 10.8623 2.4534
12/31/2014 2014 12 -8.3540 -0.4189
1/30/2015 2015 1 14.2355 -3.1041
2/27/2015 2015 2 7.2293 5.4893
3/31/2015 2015 3 -2.1202 -1.7396
4/30/2015 2015 4 13.3512 0.8521
5/29/2015 2015 5 1.7663 1.0491
6/30/2015 2015 6 1.1323 -2.1012
7/31/2015 2015 7 23.5113 1.9742
8/31/2015 2015 8 -4.3383 -6.2581
9/30/2015 2015 9 -0.1950 -2.6443
10/30/2015 2015 10 22.2724 8.2983
11/30/2015 2015 11 6.2151 0.0505
12/31/2015 2015 12 1.6682 -1.7530
1/29/2016 2016 1 -13.1515 -5.0735
2/29/2016 2016 2 -5.8739 -0.4128
3/31/2016 2016 3 7.4423 6.5991
4/29/2016 2016 4 11.1094 0.2699
5/31/2016 2016 5 9.5817 1.5329
6/30/2016 2016 6 -0.9920 0.0906
7/29/2016 2016 7 6.0353 3.5610
8/31/2016 2016 8 1.3640 -0.1219
9/30/2016 2016 9 8.8603 -0.1234
10/31/2016 2016 10 -5.6717 -1.9426
11/30/2016 2016 11 -4.9695 3.4174
12/30/2016 2016 12 -0.0933 1.8201
1/31/2017 2017 1 9.8164 1.7884
2/28/2017 2017 2 2.6182 3.7198
3/31/2017 2017 3 4.911 -0.0389
4/30/2017 2017 4 4.3371 0.9091
5/31/2017 2017 5 7.5276 1.1576
6/30/2017 2017 6 -2.6764 0.4814
7/31/2017 2017 7 2.0434 1.9349
8/31/2017 2017 8 -0.7269 0.0546
9/30/2017 2017 9 -1.9631 1.9303
10/31/2017 2017 10 14.9717 2.2188
11/30/2017 2017 11 6.4662 2.8083
12/31/2017 2017 12 -0.6187 0.9832
1/31/2018 2018 1 24.0639 5.6179
02/28/2018 2018 2 4.2429 -3.8947
03/31/2018 2018 3 -4.3049 -2.6885
04/30/2018 2018 4 8.2075 0.2719
05/31/2018 2018 5 4.0539 2.1608
06/30/2018 2018 6 4.3065 0.4842
07/31/2018 2018 7 4.5676 3.6022
08/31/2018 2018 8 13.2365 3.0263
09/30/2018 2018 9 -0.4824 0.4294
10/31/2018 2018 10 -20.2192 -6.9403
11/30/2018 2018 11 5.7672 1.7859
12/31/2018 2018 12 -11.1350 -9.1777
1/31/2019 2019 1 14.4317 7.8684

 

Variable Descriptions                      
Name   Units   Description              
Date   MM/DD/YYYY   This item denotes the last day of trading in a given month              
Year   YYYY   This item denotes year              
Month   MM   This item denotes month              
AMZN return   Number   This item denotes monthly return on AMZN in a given month              
SP500 return   Number   This item denotes monthly return on S&P500 index in a given month              
                       
(Data obtained from Wharton Research Data Services (WRDS) – Compustat)                    

 

Quarterly Revenue

Date Fiscal
Year
Fiscal Quarter Period Number Quarterly
Revenue
03/31/2000 2000 1 1 573.889
06/30/2000 2000 2 2 577.876
09/30/2000 2000 3 3 637.858
12/31/2000 2000 4 4 972.36
03/31/2001 2001 1 5 700.356
06/30/2001 2001 2 6 667.625
09/30/2001 2001 3 7 639.281
12/31/2001 2001 4 8 1115.171
03/31/2002 2002 1 9 847.422
06/30/2002 2002 2 10 805.605
09/30/2002 2002 3 11 851.299
12/31/2002 2002 4 12 1428.61
03/31/2003 2003 1 13 1083.559
06/30/2003 2003 2 14 1099.912
09/30/2003 2003 3 15 1134.456
12/31/2003 2003 4 16 1945.772
03/31/2004 2004 1 17 1530.349
06/30/2004 2004 2 18 1387.341
09/30/2004 2004 3 19 1462.475
12/31/2004 2004 4 20 2540.959
03/31/2005 2005 1 21 1902
06/30/2005 2005 2 22 1753
09/30/2005 2005 3 23 1858
12/31/2005 2005 4 24 2977
03/31/2006 2006 1 25 2279
06/30/2006 2006 2 26 2139
09/30/2006 2006 3 27 2307
12/31/2006 2006 4 28 3986
03/31/2007 2007 1 29 3015
06/30/2007 2007 2 30 2886
09/30/2007 2007 3 31 3262
12/31/2007 2007 4 32 5672
03/31/2008 2008 1 33 4135
06/30/2008 2008 2 34 4063
09/30/2008 2008 3 35 4265
12/31/2008 2008 4 36 6703
03/31/2009 2009 1 37 4889
06/30/2009 2009 2 38 4652
09/30/2009 2009 3 39 5448
12/31/2009 2009 4 40 9520
03/31/2010 2010 1 41 7131
06/30/2010 2010 2 42 6566
09/30/2010 2010 3 43 7560
12/31/2010 2010 4 44 12947
03/31/2011 2011 1 45 9857
06/30/2011 2011 2 46 9913
09/30/2011 2011 3 47 10876
12/31/2011 2011 4 48 17431
03/31/2012 2012 1 49 13185
06/30/2012 2012 2 50 12834
09/30/2012 2012 3 51 13806
12/31/2012 2012 4 52 21268
03/31/2013 2013 1 53 16070
06/30/2013 2013 2 54 15700
09/30/2013 2013 3 55 17092
12/31/2013 2013 4 56 25587
03/31/2014 2014 1 57 19741
06/30/2014 2014 2 58 19340
09/30/2014 2014 3 59 20579
12/31/2014 2014 4 60 29328
03/31/2015 2015 1 61 22717
06/30/2015 2015 2 62 23185
09/30/2015 2015 3 63 25358
12/31/2015 2015 4 64 35747
03/31/2016 2016 1 65 29128
06/30/2016 2016 2 66 30404
09/30/2016 2016 3 67 32714
12/31/2016 2016 4 68 43741
3/31/2017 2017 1 69 35714
6/30/2017 2017 2 70 37955
9/30/2017 2017 3 71 43744
12/31/2017 2017 4 72 60453
3/31/2018 2018 1 73 51042
6/30/2018 2018 2 74 52886
9/30/2018 2018 3 75 56576
12/31/2018 2018 4 76 72383

 

Variable Descriptions                      
Name   Units   Description              
Date   Date   Fiscal quarter closing date              
Fiscal
Year
  Number (YYYY)   This item represents the fiscal year of the current fiscal year-end month.              
Fiscal
Quarter
  Roman Numeral   Current quarter (I, II, III, or IV)              
Period Number   Number   This item identifies quarters in the data set in the ascending order.              
Quarterly Revenue   Millions of US dollars   This item represents quarterly Sales/Turnover (Net) plus Operating Revenues.              
                       
(Data obtained from Wharton Research Data Services (WRDS) – Compustat)                    

 

Dummy

Fiscal
Year
Fiscal Quarter Period Number Dummy_Quarter 1 Dummy_Quarter 2 Dummy_Quarter 3 Dummy_Quarter 4 Quarterly
Revenue
2000 1 1 1 0 0 0 573.889
2000 2 2 0 1 0 0 577.876
2000 3 3 0 0 1 0 637.858
2000 4 4 0 0 0 1 972.36
2001 1 5 1 0 0 0 700.356
2001 2 6 0 1 0 0 667.625
2001 3 7 0 0 1 0 639.281
2001 4 8 0 0 0 1 1115.171
2002 1 9 1 0 0 0 847.422
2002 2 10 0 1 0 0 805.605
2002 3 11 0 0 1 0 851.299
2002 4 12 0 0 0 1 1428.61
2003 1 13 1 0 0 0 1083.559
2003 2 14 0 1 0 0 1099.912
2003 3 15 0 0 1 0 1134.456
2003 4 16 0 0 0 1 1945.772
2004 1 17 1 0 0 0 1530.349
2004 2 18 0 1 0 0 1387.341
2004 3 19 0 0 1 0 1462.475
2004 4 20 0 0 0 1 2540.959
2005 1 21 1 0 0 0 1902
2005 2 22 0 1 0 0 1753
2005 3 23 0 0 1 0 1858
2005 4 24 0 0 0 1 2977
2006 1 25 1 0 0 0 2279
2006 2 26 0 1 0 0 2139
2006 3 27 0 0 1 0 2307
2006 4 28 0 0 0 1 3986
2007 1 29 1 0 0 0 3015
2007 2 30 0 1 0 0 2886
2007 3 31 0 0 1 0 3262
2007 4 32 0 0 0 1 5672
2008 1 33 1 0 0 0 4135
2008 2 34 0 1 0 0 4063
2008 3 35 0 0 1 0 4265
2008 4 36 0 0 0 1 6703
2009 1 37 1 0 0 0 4889
2009 2 38 0 1 0 0 4652
2009 3 39 0 0 1 0 5448
2009 4 40 0 0 0 1 9520
2010 1 41 1 0 0 0 7131
2010 2 42 0 1 0 0 6566
2010 3 43 0 0 1 0 7560
2010 4 44 0 0 0 1 12947
2011 1 45 1 0 0 0 9857
2011 2 46 0 1 0 0 9913
2011 3 47 0 0 1 0 10876
2011 4 48 0 0 0 1 17431
2012 1 49 1 0 0 0 13185
2012 2 50 0 1 0 0 12834
2012 3 51 0 0 1 0 13806
2012 4 52 0 0 0 1 21268
2013 1 53 1 0 0 0 16070
2013 2 54 0 1 0 0 15700
2013 3 55 0 0 1 0 17092
2013 4 56 0 0 0 1 25587
2014 1 57 1 0 0 0 19741
2014 2 58 0 1 0 0 19340
2014 3 59 0 0 1 0 20579
2014 4 60 0 0 0 1 29328
2015 1 61 1 0 0 0 22717
2015 2 62 0 1 0 0 23185
2015 3 63 0 0 1 0 25358
2015 4 64 0 0 0 1 35747
2016 1 65 1 0 0 0 29128
2016 2 66 0 1 0 0 30404
2016 3 67 0 0 1 0 32714
2016 4 68 0 0 0 1 43741
2017 1 69 1 0 0 0 35714
2017 2 70 0 1 0 0 37955
2017 3 71 0 0 1 0 43744
2017 4 72 0 0 0 1 60453
2018 1 73 1 0 0 0 51042
2018 2 74 0 1 0 0 52886
2018 3 75 0 0 1 0 56576
2018 4 76 0 0 0 1 72383

 

SUMMARY OUTPUT                  
                   
Regression Statistics                
Multiple R 0.873073370739425                
R Square 0.762257110694301                
Adjusted R Square 0.73477863805736                
Standard Error 8362.43723306973                
Observations 76                
                   
ANOVA                  
  df SS MS F Significance F        
Regression 5 15919082694.7166 3183816538.94333 56.9104874359727 2.60663960093854E-23        
Residual 71 4965055309.8692 69930356.4770309            
Total 76 20884138004.5858              
                   
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%  
Intercept -12109.4611788377 2510.9461157477 -4.8226686757202 7.82347402892733E-06 -17116.1455333506 -7102.77682432487 -17116.1455333506 -7102.77682432487  
X Variable 1 648.108588048246 43.7829939739406 14.8027471221816 2.14741365706783E-23 560.807777589482 735.40939850701 560.807777589482 735.40939850701  
X Variable 2 0 0 65535 #NUM! 0 0 0 0  
X Variable 3 -475.804166995609 2713.48615364779 -0.175347925161135 #NUM! -5886.34188680255 4934.73355281133 -5886.34188680255 4934.73355281133  
X Variable 4 0.087771271934094 2714.54562638432 3.23336882169126E-05 0.999974292126615 -5412.56247717143 5412.7380197153 -5412.56247717143 5412.7380197153  
X Variable 5 4908.58460427632 2716.31049597222 1.80707787697866 0.074986811553147 -507.584694176949 10324.7539027296 -507.584694176949 10324.7539027296  
                 

 

Sheet 5

SUMMARY OUTPUT                
                 
Regression Statistics              
Multiple R 0.996362640940462              
R Square 0.992738512261852              
Adjusted R Square 0.992634776722736              
Standard Error 1445.47549907657              
Observations 72              
                 
ANOVA                
  df SS MS F Significance F      
Regression 1 19995338992.2251 19995338992.2251 9569.89784521116 1.30399158702332E-76      
Residual 70 146257959.290146 2089399.41843066          
Total 71 20141596951.5152            
                 
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 99.0% Upper 99.0%
Intercept 51.2693636888016 226.725653970228 0.226129521697328 0.821759668086777 -400.920694780013 503.459422157616 -549.078543781968 651.617271159572
X Variable 1 1.2736741040695 0.013019810643585 97.8258546868422 1.30399158702332E-76 1.2477069105337 1.2996412976053 1.23919888726599 1.30814932087301
               
Lower 99% CI Upper 99% CI  
62702.1110600485 67422.1749071598  
     
Lower 95% Upper 95%  
63284.5354326811 66839.7505345272

 

Quarter

Quarterly
Revenue
Independent variable
573.889  
577.876  
637.858  
972.36  
700.356 573.889
667.625 577.876
639.281 637.858
1115.171 972.36
847.422 700.356
805.605 667.625
851.299 639.281
1428.61 1115.171
1083.559 847.422
1099.912 805.605
1134.456 851.299
1945.772 1428.61
1530.349 1083.559
1387.341 1099.912
1462.475 1134.456
2540.959 1945.772
1902 1530.349
1753 1387.341
1858 1462.475
2977 2540.959
2279 1902
2139 1753
2307 1858
3986 2977
3015 2279
2886 2139
3262 2307
5672 3986
4135 3015
4063 2886
4265 3262
6703 5672
4889 4135
4652 4063
5448 4265
9520 6703
7131 4889
6566 4652
7560 5448
12947 9520
9857 7131
9913 6566
10876 7560
17431 12947
13185 9857
12834 9913
13806 10876
21268 17431
16070 13185
15700 12834
17092 13806
25587 21268
19741 16070
19340 15700
20579 17092
29328 25587
22717 19741
23185 19340
25358 20579
35747 29328
29128 22717
30404 23185
32714 25358
43741 35747
35714 29128
37955 30404
43744 32714
60453 43741
51042 35714
52886 37955
56576 43744
72383 60453
  51042
  52886
  56576
  72383
                   
SUMMARY OUTPUT                  
                   
Regression Statistics                
Multiple R 0.996362640940462       Required Value 65062.1429836041      
R Square 0.992738512261852                
Adjusted R Square 0.992634776722736                
Standard Error 1445.47549907657                
Observations 72                
                   
ANOVA                  
  df SS MS F Significance F        
Regression 1 19995338992.2251 19995338992.2251 9569.89784521116 1.30399158702332E-76        
Residual 70 146257959.290146 2089399.41843066            
Total 71 20141596951.5152              
                   
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%  
Intercept 51.2693636888016 226.725653970228 0.226129521697328 0.821759668086777 -400.920694780013 503.459422157616 -400.920694780013 503.459422157616  
X Variable 1 1.2736741040695 0.013019810643585 97.8258546868422 1.30399158702332E-76 1.2477069105337 1.2996412976053 1.2477069105337 1.2996412976053  
                 

 

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