In: Statistics and Probability
Case Problem 1: Stock Market a. Using the dataset “Stock Market”, build a table with the descriptive statistics (N, Mean, Standard Deviation, Minimum, Median and Maximum) (10 points) • Which companies had a higher mean monthly return than the market (as measured by the S&P 500)? (5 points) • Which one was the most volatile (has the largest standard deviation)? Why is the S&P Index the less volatile? (5 points) b. Find the estimated regression equation relating each of the individual stocks to the S&P 500 and the value of R-Sq for each equation. (25 points) c. Find the betas (slope of estimated regression equation) for the individual stocks from the regression output. (10 points) • What does a stock with a beta greater than 1 indicate? And less than 1? What is the stock that benefits most from a rising market? Why? (25 points) d. What dp the R-Sq values indicate? (20 points)
Month | Microsoft | Exxon Mobil | Caterpillar | Johnson & Johnson | McDonald's | Sandisk | Qualcomm | Procter & Gamble | S&P 500 |
Jan-03 | 0,21799 | 0,27739 | 0,2696 | 0,29814 | 0,18557 | 0,05133 | 0,3349 | 0,300465 | 0,272585 |
Feb-03 | 0,30211 | 0,30293 | 0,36867 | 0,28219 | 0,25576 | 0,39363 | 0,21822 | 0,256644 | 0,282996 |
Mar-03 | 0,32152 | 0,32734 | 0,34681 | 0,40334 | 0,36245 | 0,30839 | 0,34251 | 0,387833 | 0,308358 |
Apr-03 | 0,35576 | 0,30715 | 0,37622 | 0,27391 | 0,48257 | 0,73876 | 0,18556 | 0,313588 | 0,381044 |
May-03 | 0,26283 | 0,34119 | 0,29144 | 0,26859 | 0,39532 | 0,80165 | 0,35395 | 0,321925 | 0,350899 |
Jun-03 | 0,34185 | 0,28654 | 0,36731 | 0,25124 | 0,47779 | 0,4164 | 0,37124 | 0,271248 | 0,311322 |
Jul-03 | 0,33003 | 0,29081 | 0,51847 | 0,30174 | 0,34306 | 0,69734 | 0,34285 | 0,290413 | 0,316224 |
Aug-03 | 0,30417 | 0,36661 | 0,36462 | 0,26196 | 0,27436 | 0,36633 | 0,40459 | 0,293399 | 0,317873 |
Sep-03 | 0,34827 | 0,27082 | 0,25837 | 0,29879 | 0,34996 | 0,35409 | 0,30823 | 0,363352 | 0,288056 |
Oct-03 | 0,24604 | 0,29945 | 0,36987 | 0,31636 | 0,36202 | 0,56491 | 0,43967 | 0,363833 | 0,354962 |
Nov-03 | 0,28355 | 0,29645 | 0,3378 | 0,2843 | 0,3412 | 0,30273 | 0,23957 | 0,279143 | 0,307129 |
Dec-03 | 0,36457 | 0,4326 | 0,39165 | 0,34787 | 0,26879 | 0,05724 | 0,51055 | 0,337822 | 0,350765 |
Jan-04 | 0,31023 | 0,29488 | 0,24556 | 0,33407 | 0,33665 | 0,18725 | 0,38678 | 0,31657 | 0,317276 |
Feb-04 | 0,25949 | 0,33996 | 0,26954 | 0,31367 | 0,39946 | 0,23628 | 0,37763 | 0,314147 | 0,312209 |
Mar-04 | 0,23969 | 0,28625 | 0,34383 | 0,24083 | 0,30954 | 0,41566 | 0,35072 | 0,32312 | 0,283641 |
Apr-04 | 0,34813 | 0,32308 | 0,28773 | 0,36526 | 0,2531 | 0,11629 | 0,24222 | 0,313063 | 0,283209 |
May-04 | 0,30383 | 0,3228 | 0,26938 | 0,33637 | 0,26952 | 0,36479 | 0,37541 | 0,319574 | 0,312083 |
Jun-04 | 0,38883 | 0,32682 | 0,35428 | 0,29982 | 0,28485 | 0,17992 | 0,38812 | 0,309831 | 0,317989 |
Jul-04 | 0,29755 | 0,34256 | 0,23026 | 0,29228 | 0,35769 | 0,42125 | 0,24834 | 0,262528 | 0,265709 |
Aug-04 | 0,26104 | 0,30151 | 0,28925 | 0,35636 | 0,28255 | 0,26012 | 0,40157 | 0,37325 | 0,302287 |
Sep-04 | 0,31282 | 0,34837 | 0,4066 | 0,26954 | 0,33738 | 0,54711 | 0,32602 | 0,266947 | 0,309364 |
Oct-04 | 0,31157 | 0,31842 | 0,30622 | 0,33639 | 0,33996 | 0,01669 | 0,36557 | 0,250296 | 0,314014 |
Nov-04 | 0,36864 | 0,34673 | 0,4367 | 0,33811 | 0,37341 | 0,38194 | 0,30048 | 0,344939 | 0,338595 |
Dec-04 | 0,29664 | 0,3002 | 0,3651 | 0,35139 | 0,34294 | 0,40585 | 0,32042 | 0,329918 | 0,332458 |
Jan-05 | 0,28353 | 0,30663 | 0,21796 | 0,32018 | 0,31029 | 0,28919 | 0,1783 | 0,270951 | 0,27471 |
Feb-05 | 0,26043 | 0,53217 | 0,36678 | 0,31832 | 0,3213 | 0,38826 | 0,26992 | 0,29737 | 0,318903 |
Mar-05 | 0,26065 | 0,2414 | 0,26202 | 0,32378 | 0,24135 | 0,33423 | 0,31609 | 0,298305 | 0,280882 |
Apr-05 | 0,34675 | 0,25688 | 0,26741 | 0,32189 | 0,24123 | 0,15252 | 0,2525 | 0,326981 | 0,279891 |
May-05 | 0,32292 | 0,29053 | 0,36882 | 0,28251 | 0,35561 | 0,39578 | 0,37079 | 0,318467 | 0,329952 |
Jun-05 | 0,26279 | 0,3226 | 0,31275 | 0,2687 | 0,1969 | 0,21375 | 0,1857 | 0,256482 | 0,299857 |
Jul-05 | 0,331 | 0,32227 | 0,4365 | 0,284 | 0,42324 | 0,7252 | 0,496 | 0,359905 | 0,335968 |
Aug-05 | 0,37224 | 0,32451 | 0,32931 | 0,29625 | 0,34107 | 0,44814 | 0,30811 | 0,297304 | 0,288778 |
Sep-05 | 0,23974 | 0,36077 | 0,35875 | 0,29826 | 0,33205 | 0,54234 | 0,42692 | 0,371738 | 0,306949 |
Oct-05 | 0,29883 | 0,18354 | 0,1994 | 0,28957 | 0,24357 | 0,52056 | 0,18849 | 0,246351 | 0,282259 |
Nov-05 | 0,38016 | 0,33883 | 0,39869 | 0,29138 | 0,3924 | 0,16719 | 0,44361 | 0,321432 | 0,335186 |
Dec-05 | 0,24473 | 0,26795 | 0,29983 | 0,27328 | 0,29616 | 0,53032 | 0,24942 | 0,312065 | 0,299048 |
Using the dataset “Stock Market”, build a table with the descriptive statistics (N, Mean, Standard Deviation, Minimum, Median and Maximum) (10 points) • Which companies had a higher mean monthly return than the market (as measured by the S&P 500)? (5 points) • Which one was the most volatile (has the largest standard deviation)? Why is the S&P Index the less volatile? (5 points)
The following steps show how to create the descriptive statistics.
Step 1 : Put the data in excel as shown.
Step 2 : go to DATA -> data analysis -> Descriptive
Statistics
Step 3 : Input the values as shown.
Step 4 : The output will be generated as follows.
The needed statistics are highlighted in yellow.
Inorder to compare and answer the following questions, I have put the statistics in a easy to understand manner.
Which companies had a higher mean monthly return than the
market (as measured by the S&P 500)?
Sandisk = Mean = 0.3693
Which one was the most volatile (has the largest
standard deviation)?
Sandisk: Std.Dev = 0.1954
Why is the S&P Index the less
volatile?
The index is made up of many stocks, hence the standard deviation
of all the stock get averaged out and the index tends to be less
volatile.
b. Find the estimated regression equation relating each
of the individual stocks to the S&P 500 and the value of R-Sq
for each equation. (25 points) c. Find the betas (slope of
estimated regression equation) for the individual stocks from the
regression output. (10 points) • What does a stock with a beta
greater than 1 indicate? And less than 1? What is the stock that
benefits most from a rising market? Why? (25 points) d. What dp the
R-Sq values indicate? (20 points)
.
The following steps are given to find the regression equation for
Microsoft
Step 1 : Put the data in excel as shown.
Step 2 : go to DATA -> data analysis -> regression
Step 3 : Input the values as shown.
Step 4 : The output will be generated as follows.
The coefficient that are used in the regression are highlighted in yellow and the regression equation is highlighted in green.
Similarly we find the regression for the other stocks. The final output and the regression equation along with the beta and rsquare is given.
Exxon Mobil
Caterpillar
Johnson & Johnson
McDonald's
Sandisk
Qualcomm
Procter & Gamble
The summary of the all the stocks is shown below.
What does a stock with a beta greater than 1 indicate?
And less than 1?
A beta indicates how volatite a stock is . If it is greater than 1,
indicating it has greater volatility than the stock index (S&P
Index in this case)
If it is less than 1, indicating it has less volatility than the
stock index
What is the stock that benefits most from a rising
market? Why? (25 points)
Sandisk because it has a beta value of 2.60, indicating that if the
stock index moves up, Scandisk will move 2.6 times more compared to
the stock index.
What does the R-Sq values indicate?
It is the measure of the amount of variability in y explained by x.
Its value lies between 0 and 1. Greater the value, better is the
model.
In this case, the square helps us understand how much of the
variability in the stock is explained by the S&P Index.