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tino4ka555 [31]
3 years ago
10

3. What is the value of the bullwhip measure for a company with a standard deviation of demand equal to 20, and a variance of or

ders equal to 450?
Business
1 answer:
bazaltina [42]3 years ago
4 0

Answer:

1.125

Explanation:

The computation of the value of the bullwhip measure is shown below

As we know that

The Variance of demand = Square of the standard deviation of demand

i.e.

= square of 20

= 400

And, the Variance of orders = 450

Now the

Bullwhip measure is

= The variance of orders ÷ the variance of demand

= 450 ÷ 400

= 1.125

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Corporate Communications director Mark Schurman describes how Herman Miller employees are assigned to teams not necessarily high
beks73 [17]

Answer:

very few hierarchical levels

Explanation:

According to my research on different company organizational structures, I can say that based on the information provided within the question Herman Miller is most likely an organization that has​ very few hierarchical levels. This is since it is mentioned that the employees are placed in teams that are not higher or lower in rank from one another, but at the same time there is still a boss of the company. Therefore there are hierarchical levels but they are extremely few.

I hope this answered your question. If you have any more questions feel free to ask away at Brainly.

4 0
3 years ago
The spaghetti sells 340 units per week at $12 per plate. The steak sells 212 units at $16 per plate. Which has the higher
stepan [7]

Answer:

a) Spaghetti

Explanation:

Dollar value means the actual amount raised from selling. In this case,

spaghetti will have  dollar sales of:

=340 x $12

=$4,080

Steak

=212 x $16

=$3,392

Therefore, spaghetti has higher dollar sales.

4 0
3 years ago
Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%. a.
Aleksandr [31]

Answer:

a. The answers are as follows:

(i) Expected of Return of Portfolio = 4%; and Beta of Portfolio = 0

(ii) Expected of Return of Portfolio = 6.25%; and Beta of Portfolio = 0.25

(iii) Expected of Return of Portfolio = 8.50%; and Beta of Portfolio = 0.50

(iv) Expected of Return of Portfolio = 10.75%; and Beta of Portfolio = 0.75

(v) Expected of Return of Portfolio = 13%; and Beta of Portfolio = 1.0

b. Change in expected return = 9% increase

Explanation:

Note: This question is not complete as part b of it is omitted. The complete question is therefore provided before answering the question as follows:

Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%.

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

The explanation to the answers are now provided as follows:

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

To calculate these, we use the following formula:

Expected of Return of Portfolio = (WS&P * RS&P) + (WT * RT) ………… (1)

Beta of Portfolio = (WS&P * BS&P) + (WT * BT) ………………..………………. (2)

Where;

WS&P = Weight of S&P = (1) – (1v)

RS&P = Return of S&P = 13%, or 0.13

WT = Weight of T-bills = 1 – WS&P

RT = Return of T-bills = 4%, or 0.04

BS&P = 1.0

BT = 0

After substituting the values into equation (1) & (2), we therefore have:

(i) Expected return and beta of portfolios with weights in the S&P 500 of 0 (i.e. WS&P = 0)

Using equation (1), we have:

Expected of Return of Portfolio = (0 * 0.13) + ((1 - 0) * 0.04) = 0.04, or 4%

Using equation (2), we have:

Beta of Portfolio = (0 * 1.0) + ((1 - 0) * 0) = 0

(ii) Expected return and beta of portfolios with weights in the S&P 500 of 0.25 (i.e. WS&P = 0.25)

Using equation (1), we have:

Expected of Return of Portfolio = (0.25 * 0.13) + ((1 - 0.25) * 0.04) = 0.0625, or 6.25%

Using equation (2), we have:

Beta of Portfolio = (0.25 * 1.0) + ((1 - 0.25) * 0) = 0.25

(iii) Expected return and beta of portfolios with weights in the S&P 500 of 0.50 (i.e. WS&P = 0.50)

Using equation (1), we have:

Expected of Return of Portfolio = (0.50 * 0.13) + ((1 - 0.50) * 0.04) = 0.0850, or 8.50%

Using equation (2), we have:

Beta of Portfolio = (0.50 * 1.0) + ((1 - 0.50) * 0) = 0.50

(iv) Expected return and beta of portfolios with weights in the S&P 500 of 0.75 (i.e. WS&P = 0.75)

Using equation (1), we have:

Expected of Return of Portfolio = (0.75 * 0.13) + ((1 - 0.75) * 0.04) = 0.1075, or 10.75%

Using equation (2), we have:

Beta of Portfolio = (0.75 * 1.0) + ((1 - 0.75) * 0) = 0.75

(v) Expected return and beta of portfolios with weights in the S&P 500 of 1.0 (i.e. WS&P = 1.0)

Using equation (1), we have:

Expected of Return of Portfolio = (1.0 * 0.13) + ((1 – 1.0) * 0.04) = 0.13, or 13%

Using equation (2), we have:

Beta of Portfolio = (1.0 * 1.0) + (1 – 1.0) * 0) = 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

There expected return will increase by the percentage of the difference between Expected Return and Risk free rate. That is;

Change in expected return = Expected Return - Risk free rate = 13% - 4% = 9% increase

4 0
3 years ago
Brown & Smith, Inc. engages in the design, development, making, and retail selling of designer jewelry in North America. Bef
Serga [27]

Answer:

rapid prototyping

Explanation:

Rapid prototyping (RP) is a family of manufacturing methods to make engineering prototypes in the minimum possible delivery times, based on a model of the article made in a computer-aided design system (CAD)

Rapid prototyping is an excellent way to check the functionality, dimensions and design characteristics of the designs, without going through the usual long prototyping process that requires specific technical and experienced tools.

3 0
3 years ago
Consider the market for pens. Suppose that increased medical concerns over lead pencils have led schools to steer away from penc
LiRa [457]
Answer: False

Explanation:
Being able to determine the effect on price would have to be circumstantial
4 0
3 years ago
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