Answer:
(A) market saturation
Explanation:
A franchisee starts a new franchise by entering into a franchising agreement with a franchiser to use its brand name and sell its products. The biggest challenge faced by this new franchise is market saturation.
This occurs because<u> the presence of other similar businesses, whether franchises or independently owned businesses in the market, creates lots of competition for the new franchise.</u>
Answer:
485,000 units
Explanation:
The computation of the number of units manufactured is shown below:
= Number of units sold + ending finished goods units - beginning finished goods units
= 515,000 units + 87,000 units - 57,000 units
= 485,000 units
Basically we added the ending finished goods units and deduct the beginning finished goods units to the number of units sold
Answer:
The annualized return is 14.82%
Explanation:
The formula for annualized return is given as Annualized return = (1+ holding return)12/n - 1
Holding return is 8.4%
n is the holding period of 7 months
Annualized return =(1+0.084)^(12/7)-1
Annualized return =14.82%
It is wrong to simply calculate annualized return as 8,4%*12/7,which means one is taking the interest to annual interest by proportional method,as this gives 14.40%, in investment every basis point counts.
The difference between the two figures is 0.42% which could translate into millions depending on the amount invested as well as the duration of investment
Answer: A portfolio containing 30 randomly selected stocks will have the smallest standard deviation.
Explanation:
A portfolio containing 30 randomly selected stocks tend to have a lesser covariance between the security returns. Also, there will be increased diversification. This increased diversification lowers the risk of portfolio thereby resulting in a lower standard deviation.
Other options are not correct. A portfolio consisting of 30 energy stocks will have a higher level of covariance between the security returns. Therefore, the standard deviation is lower.
A coefficient of variance greater than one will have a high level of variance while a coefficient variance less than 1 has a lower level of variance. A lesser covariance will result to a lower standard deviation and vice-versa.
