Answer:
r = 0.09 or 9%
Explanation:
Using the CAPM, we can calculate the required rate of return on a stock. This is the minimum return required by the investors to invest in a stock based on its systematic risk, the market's risk premium and the risk free rate.
The formula for required rate of return under CAPM is,
r = rRF + Beta * (rM - rRF)
Where,
- rRF is the risk free rate
r = 0.05 + 0.5 * (0.13 - 0.05)
r = 0.09 or 9%
Answer:
c. Plans for new manufacturing lines to meet potential demand
Explanation:
A new product strategy refers to industrial plans for new manufacturing lines that aim to meet potential demand.
These new products aim to satisfy old consumers, with upgrades to their favorite products, or to attract new consumers, through a new manufacturing segment that can even leave the niche that the company is part of.
This is a way for the company to diversify its product offer or meet a rising demand, thus creating greater and complete revenue.
Answer:
The opportunity cost for a year will be $240,000.
Explanation:
The opportunity cost of any decision is the second-best alternative that is given up or sacrificed.
Here, the manager has a farm of 100 acres of land.
If he sells it to a developer for $40,000 per acre, he will get $4,000,000 for the whole land.
He can invest this amount and get an interest of 6% per year.
The opportunity cost of keeping the farm to the manager himself will be
= 6% of $4,000,000
= 
= $240,000
Answer:
Spelling and Grammar check.
Explanation:
Answer:
The Correlation analysis “R” is measured to compute the strength of relationship among variables. Moreover, the value of correlation is calculated among -1 to +1. Which implies that if the computed value is near to -1 then there will be strong but negative relation and if near to +1 then it is strong but relation among the variable. However zero is consider as neutral point.
A. The computed value of correlation is - 0.772. The value identifies that that there is a strong but negative association among the variables (GDP and infant mortality rate).
B. The correlation analysis cannot computed among the variables continent and GDP because "continent" is a categorical variable not quantitative.
C. The computed value of correlation is higher than 1. Thus, the statement implies that there is a very strong relationship among life expectancy and GDP which is incorrect. As the association cannot be higher than 1.
D. There is a strong relationship among literacy rate and GDP as the relationship is nearer to 1. Furthermore, the association among literacy rate and GDP doesn’t suggest the causation.
E. The computed correlation among the variables is 0.90. Which indicated that the variables goes up. That is, when the GDP goes down the import is also decrease and when GDP increases the import increases Thus, the there is a positive correlation.
