Answer: $62.50
Explanation:
The stock price of Locked-In Real Estate (LIRE) will be calculated thus:
Stock price = D /ke - g
where,
D = Dividend paid per share = $7.50
Ke = expected rate of return on equity = 12% = 0.12
g is growth rate of dividend = 0
Stock price = $7.50/0.12
Stock price = $62.5
Therefore, the stock price is $62.50
Answer:
B
Explanation:
Use social media platforms like LinkedIn to screen for people with the relevant experience at high-performing companies
Using social media platform like Linkedin you would normally find the best and high- perfoming individuals, whomare definetly and most likely to meet the criteria for the job and even be beyond expectations. This has become a lot easier to use in this dispensation.
The expected return for stock A and B is 8.55% and 15.11% respectively.
<h3>What is the Expected return?</h3>
= (Probability of Recession × Return during recession) + (Probability of normal × Return during normal) + (Probability of boom × Return during boom)
Expected return for stock A:
= (0.20 * .05) + (0.57 * 0.08) + (0.23 * 0.13)
= 0.0855
= 8.55%
Expected return for stock B:
= (0.20 * 0.20) + (0.57 * 0.09) + (0.23 * 0.26)
= 0.1511
= 15.11%
Therefore, the expected return for stock A and B is 8.55% and 15.11% respectively.
Read more about Expected return
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Answer: B. How do people decide how much to save for the future, or whether they should borrow to spend beyond their current means?
Explanation:
It should be noted that microeconomics has to do with studying of economic agents like the individuals and the firms and how their decision affects the society while macroeconomics deals with the whole economy.
The microeconomic topics can have an impact on macroeconomic topics is option B "How do people decide how much to save for the future, or whether they should borrow to spend beyond their current means".
This is because savings and expenditure have an impact on the economy had whole and this can lead to certain decisions to be taken by the government.
Answer:
The answer is: A) degree to which the data is an accurate portrait of the target population.
Explanation:
To explain data generalizability I like to use election polls as an example. There are over 200 million voters in the US, and polls only cover a few thousands of voters, it is impossible to survey the whole population. Data generalizability refers to how well does the election polls reflect the real outcome of an election. Can the data sample used in the polls serve as a true parameter to know the real outcome of the election? Some polls are accurate and others aren't, accurate polls have high data generalizability.
