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zaharov [31]
3 years ago
13

You find a certain stock that had returns of 14 percent, −11 percent, 21 percent, and 22 percent for four of the last five years

. The average return of the stock over this period was 12 percent.
What was the stock’s return for the missing year? (Do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.)
Stock’s return %
What is the standard deviation of the stock’s returns? (Do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.)
Standard deviation %

Business
1 answer:
sp2606 [1]3 years ago
4 0

Answer and Explanation:

The calculations of the stock return for the missing year is shown below:

a. Let us assume the fifth year stock return be x

As we know that  

Average rate of return = Total returns ÷ number of years

0.12 = (0.1 - 0.11 + 0.21 + 0.22 + x) ÷ 5

So after solving this, the x is 14%

b. Now the standard deviation of the stock return is presented in the excel spreadsheet

The standard deviation is 13.40%

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Read 2 more answers
From the SAS data set sashelp.shoes, create a new data set that includes the subsidiaries whose total returns accounts for at le
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The following is the SAS code to generate the dataset. The lines starting with * are the command lines. Before each code, documentation is given to understand what this is actually doing.

* First create a dataset which gives the total sales for

* each of the subsidiary for every region. The output dataset

* should be unique at subsidiary*region level. The variable  

* total_sales_sub denotes the total sales for that subsidiary;

data tot_sale_per_sub;

set sashelp.shoes;

by region subsidiary;

retain total_sales_sub 0;

if first.subsidiary then total_sales_sub = 0;

total_sales_sub+sales;

if last.subsidiary then output;

keep region subsidiary total_sales_sub;

run;

* The dataset 'sales_gt_20pct' is our final dataset where we

* put only those subsidiaries for which total sales is atleast

* 20%=1/5 of the total sales of the region. The variable total_sales_sub

* denotes the total sales for that subsidiary and total_sales_reg

* denotes the total sales for that region;

proc sql;

create table sales_gt_20pct as

select region, subsidiary, total_sales_sub, sum(total_sales_sub) as total_sales_reg

from tot_sale_per_sub

group by region

having total_sales_sub >= total_sales_reg/5;

quit;

* Printing the output data;

proc print data=sales_gt_20pct; run;

* END OF CODE;

To learn more about SAS data code, click the links.

brainly.com/question/15062427

#SPJ4

5 0
1 year ago
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