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
Centralized direction explain why we often overestimate how well we can predict future actions of others.
I hope that's help:0
There are three ways to cope up with the problem of scarcity:
a. Economic growth.
b. Improvement of use of available resources.
c. Reduction of wants.
Explanation: Economic growth mean the ability if an economy to produces products and services. Using the products wisely can improve the usage and helps in saving the resources. Society can improve the use their existing or available resources in order to reduce the scarcity by: Efficiency in productivity, efficient allocation of resources, full employment with minimum wastage and equity.
Answer:
E) 1920
Explanation:
The computation of the maximum items in process is shown below:
= Number of maximum target cycle time × normal processing rate per minute × number of minutes in one hour
= 16 hours × 2 × 60 minutes
= 1,920
Simple we multiply the all items which are given in the question, so that the accurate value can come i.e maximum target cycle time, normal processing rate per minute and the number of minutes in one hour
Answer:
6.11%
Explanation:
For computing the variance, first we have to determine the expected return which is shown below:
= (Expected return of the boom × weightage of boom) + (expected return of the normal economy × weightage of normal economy) + (expected return of the recession × weightage of recession)
= (12% × 5%) + (10% × 85%) + (2% × 10%)
= 0.6% + 8.5% + 0.2%
= 9.30%
Now the variance would equal to the
= Weightage × (Return - Expected Return) ^2
For boom:
= 5% × (12% - 9.3%) ^2
= 0.3645
For normal economy:
= 85% × (10% - 9.3%) ^2
= 0.4165
For recession:
= 10% × (2% - 9.3%) ^2
= 5.329
So, the total variance would be
= 0.3645 + 0.4165 + 5.329
= 6.11%
