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BartSMP [9]
2 years ago
10

What is NOT a reason for companies to merge?

Business
1 answer:
Sedbober [7]2 years ago
6 0

Answer: A merger results in reduced competition and a larger market share. Thus, the new company can gain a monopoly and increase the prices of its products or services

Explanation:

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You understand life so this has to be 20 characters so hello
3 0
3 years ago
You are interested in purchasing a new car and have done some research. One of the many points you wish to consider is the resal
kari74 [83]

Answer:

The 99% confidence interval would be given by (12004.26;12995.74)  

Explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X=12500 represent the sample mean for the sample  

\mu population mean (variable of interest)

s=700 represent the sample standard deviation

n=17 represent the sample size  

2) Confidence interval

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=17-1=16

Since the Confidence is 0.99 or 99%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,16)".And we see that t_{\alpha/2}=2.92

Now we have everything in order to replace into formula (1):

12500-2.92\frac{700}{\sqrt{17}}=12004.26    

12500+2.92\frac{700}{\sqrt{17}}=12995.74    

So on this case the 99% confidence interval would be given by (12004.26;12995.74)    

8 0
3 years ago
Keynes believed that Question 8 options: Say's law would hold in a laissez-faire economy. the economy would always be near or on
zloy xaker [14]

Answer:

wages and prices are often inflexible in the downward direction.

Explanation:

John Maynard Keynes was a British economist born on the 5th of June, 1883 in Cambridge, England. He was famous for his brilliant ideas on government economic policy and macroeconomics which is known as the Keynesian theory. He later died on the 23rd of April, 1946 in Sussex, England.

Keynes believed that wages and prices are often inflexible in the downward direction.

In Economics, when there are monetary disturbances and a great level of macroeconomic factors in the economy of a particular country, this usually result in prices of goods and services being sticky.

6 0
2 years ago
Company X has beta = 1.6, while Company Y's beta = 0.7. The risk-free rate is 7%, and the required rate of return on an average
Kaylis [27]

Answer:

a. 5.40%

Explanation:

First, I will calculate the new cost of equity for both stock X and Y:

Required rate of return = risk free rate + (beta x market premium)

Re stock X = 8% + (1.6 x 6%) = 8% + 9.6% = 17.6%

Re stock Y = 8%  + (0.7 x 6%) = 8% + 4.2% = 12.2%

The difference between the required rate of return = 17.6% - 12.2% = 5.4%

4 0
3 years ago
If the Federal Reserve were to change from an expansionary to a contractionary monetary
zzz [600]

Answer:

B) systematic risk

Explanation:

Federal Reserve changes in monetary policies affect the entire securities market hence considered a Systematic risk. It is also known as the Non-diversifiable risk ; it cannot be diversified away unlike stock specific or industry specific risk(unsystematic ) which can be eliminated through diversification.

Systematic risk is unavoidable and may be difficult to predict. Other examples include increase in long term interest rates, recessions or wars. Additionally, Investors are only compensated for systematic risk and not for diversifiable risk.

6 0
3 years ago
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