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Naya [18.7K]
2 years ago
12

How did the long sunday holiday contribute to the collapse? check all of the boxes that apply. stockbrokers who still had profit

s on their books were afraid that their profits would disappear. stockbrokers who had losses were afraid that those losses might get larger. bankers had a chance to create a pool of money to support the market. investors decided to get out of the market?
Business
2 answers:
Bumek [7]2 years ago
3 0
Stockbrokers who still had profits on their books were afraid that their profits would disappear.

Stockbrokers who had losses were afraid that those losses might get larger.

Investors decided to get out of the market. 

allsm [11]2 years ago
3 0

The answer is:

Stockbrokers who still had profits on their books were afraid that their profits would disappear.

Stockbrokers who had losses were afraid that those losses might get larger.

Investors decided to get out of the market. 


The stock market closed on weekends. So, when these overwhelming fear build up among investors over the weekend, the majority of investors in the market decided to quickly get out of the market by the time it reach monday. This make the capital in the market taken out too rapidly and contribute to the colapse.

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1) a 2) a 3) d hope this helps :D
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3 years ago
All of the following statements regarding brand loyalty are true except: Select one: a. the marketing costs of reaching loyal cu
evablogger [386]

Answer: the marketing costs of reaching loyal customers are typically very high

Explanation:

Brand loyalty is when a customer buys a product repeatedly from thesame company rather than buying a substitute from another company. Despite the efforts of the competitors to life them away, such customers are devoted to the product.

It should be noted that the marketing costs of reaching loyal customers are typically low. They hardly need any source of encouragement or advertisement to convince them to make their purchases.

6 0
3 years ago
You have developed the following data on three stocks: Stock A has a standard deviation of .15 and a Beta of .79. Stock B has a
blondinia [14]

Answer:

As a risk minimizer : Stock A  has the lowest standard deviation, thus, it should be chosen, if it is to be held in isolation . Also stock B  has the lowest beta, thus,it should be chosen, if it is to be held as part of a well - diversified portfolio.

The answer is A and B respectively

Explanation:

The standalone risk or standard deviation of the stocks is alleviated for a well diversified investor  . So, in that case, the relevant risk would be the market risk or the beta.

When you see in isolation, relevant risk would be the standard deviation.

Therefore, as a risk minimizer : Stock A  has the lowest standard deviation, thus, it should be chosen, if it is to be held in isolation . Also stock B  has the lowest beta, thus,it should be chosen, if it is to be held as part of a well - diversified portfolio.

6 0
3 years ago
R. C. Barker makes purchasing decisions for his company. One product that he buys costs $50 per unit when the order quantity is
astra-53 [7]

Answer:

a. 300

d. 200

Explanation:

EOQ = \sqrt{(2 * Annual demand * ordering cost) / holding cost } \\

2 * 7500 * 30 / 0.5

EOQ = 948 units

When price is $48 per unit

EOQ = 968 units

Total cost  = Holding cost + ordering cost + purchase cost

When the order is for 500 price is $48

Total cost = $2,400 + $30 + $24,000 = $26,430

When the order is for 300 price is $50

Total cost = $1,500 + $30 + $15,000 = $16,530

When the order is for 306 price is $50

Total cost = $1,530 + $30 + $15,300 = $16,860

When the order is for 200 price is $50

Total cost = $1,000 + $30 + $10,000 = $11,030

The best two possible order quantities are 200 and 300 which results in minimum total cost.

5 0
3 years ago
Congress would like to increase tax revenues by 10 percent. Assume that the average taxpayer in the United States earns $65,000
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Answer: <em><u>16.5% is the average tax rate that will result in a 10 percent increase in tax revenues.</u></em>

Explanation:

This is an example of static forecasting since no time parameter is involved.

Now,

Let initial revenue be "R" ,

"n" be no. of taxpayer

∴ R= 65000×0.15×n

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Using the above two equation, we'll get ;

<u><em>r = 16.5%</em></u>

7 0
3 years ago
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