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Travka [436]
3 years ago
10

If there is no product differentiation at​ all, then the individual firm has a demand curve that is A. slightly downward sloping

and identical the firm in monopolistic competition. B. unit elastic and identical to the firm in perfect competition. C. perfectly elastic and identical to the firm in perfect competition. D. perfectly inelastic and identical to the firm in perfect competition.
Business
2 answers:
Keith_Richards [23]3 years ago
5 0

Answer:

C) perfectly elastic and identical to the firm in perfect competition.

Explanation:

In a perfectly competitive market, firms supply identical products, so the customers are indifferent towards buying the product from any supplier. What makes a monopolistic competition market different is that products are differentiated, so the customers will choose from which supplier to purchase the product.

When the products are identical (not differentiated), then the firm's demand curve will be perfectly elastic because a change in price will make their customers simply change the supplier. I.e. the products are all substitutes.

balu736 [363]3 years ago
3 0

Answer:

A) Slightly downward sloping and identicaI to the firm in monopolistic competition

Explanation:

Product differentiation is a type of strategy a firm uses to improve their products.  When a firm or different firms do not uses product differentiation, there is usually a downward slope in their demand curves. An inward shift in the demand curve might occur when a competitor lowers the price of his product. There might also be a situation when the demand curve becomes elastic if the competitor uses the same style to model his own product, making the products, yours and his, the same.

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I visited the pet store last week and found two kinds of pets for sale: rabbits for $5 and parakeets for $9. If I had $14 to spe
Elan Coil [88]

Answer:

$31

Explanation:

Starting from number 25, number 26 is a possibility, but then you get number 31 which is larger. Then the following numbers all show a possible combination:

<u> N°        9's                 5's </u>

25       0                    5

26

27       3                    0

28       2                    2

29       1                     4

30       0                    6

31        -                    -

32       3                   1

33       2                   3

34       1                    5

35       0                   7

36       4                   0

37       3                   2

38       2                   4

39       1                   6

40       0                  8

41        4                  1

42       3                  3

43       2                  5

44       1                   7

45       0                  9

A pattern starts to show 35-39 ; 40-44 and so on.

5 0
3 years ago
Suppose that the S&amp;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
Hoi Chong Transport, Ltd., operates a fleet of delivery trucks in Singapore. The company has determined that if a truck is drive
Anvisha [2.4K]

Explanation:

The computation of the fixed cost and the variable cost per hour by using high low method is shown below:

Variable cost per hour = (High Operating cost - low operating cost) ÷ (High driven in kilometers - Low driven in kilometers)

where,

High operating cost = 114,000 km × 12.7%

= $14,478

Low operating cost = 76,000 km  × 14.8%

= $11,248

So,

= ($14,478 - $11,248) ÷ (114,000 km - 76,000 km)

= $3,230 ÷ 38,000 km

= $0.085 per km

Now the fixed cost equal to

= High operating cost - (High driven in kilometers × Variable cost per km)

= $14,478 - (114,000 km × $0.085)

= $14,478 - $9,690

= $4,7882

2. The equation is as follows

Y = a + bx

So,

Total cost = $4,788 + 0.085X

3.

Y = a + bx

   = $4,788 + 0.085 × 95,000

   = $4,788 + $8,075

   = $12,863

5 0
3 years ago
Pine Corp. produces three products, and currently has a shortage of machine hours since one of its two machines is down. The sel
yulyashka [42]

Answer:

product B

Explanation:

The computation is shown below;

<u>Particulars           Product A          Product B             Product C </u>

Selling Price            $5.00                $3.00                  $5.00

Less: Variable cost per unit ($3.50)   ($2.00)               ($2.00)

Contribution per unit     $1.50               $1.00                $3.00

Machine hours per unit   0.75                 0.25                    1

Contribution per machine hour $2.00   $4.00            $3.00

                                         ($1.50 ÷ 0.75)  ($1.00 ÷ 0.25)   ($3.00 ÷ 1)

The product B should be produced as it has the highest contribution per machine hour

6 0
3 years ago
Reviewing the Budget
vekshin1

Answer:

For each month we calculate the variance by finding the difference between the Actual numbers and Budget numbers.

Then we indicate if the practice was "Overbudget" or "Underbudget".

If the actual numbers are less than the budget numbers, the budget is we say that the budget is under budget.

If the actual numbers are more than the budget numbers, the budget is we say that the budget is over budget.

Month    Budget   Actual               Variance        Under/ over  

<u>                                                              (Actual -Budget)   Budget </u>

January  23,55,872   17,90,929      -5,64,943      Under Budget

February  26,54,031   28,27,606       1,73,575      Over Budget

March  22,39,980   29,24,180        6,84,200      Over Budget


4 0
4 years ago
Read 2 more answers
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