Answer:
$99,000
Explanation:
The amount of $100,000 will be split between both Tina and the insurer in which the amount of $1,000 will be cover by Tina based on her self-insured retention policy while the insurer on the other hand will cover the remaining amount of $99,000 calculated as ($100,000-$1,000).
Therefore the amount that the insurer will pay under Tina's personal umbrella policy will be $99,000
Answer:
solicited the bank’s client.
Explanation:
In order for Lisa to have committed solicitation and violated Standard VI(a), she must have actively searched for the bank's former client. The text states that a former client of the bank hired her, but it gives no indication that Lisa went after him. Also, Lisa is no longer working for the bank, if any of the bank's clients looks for her, she isn't doing anything wrong.
Answer:
$0
Explanation:
According to the revenue recognition principle, the revenue should be recorded when the service is delivered or it is recognized not when the cash is received
Therefore the amount of $79,800 would be the deferral and should be recorded from Jan 2018 when the subscription starts issued
Hence, no amount would be recognized
Answer:
$22,592,593
Explanation:
For the computation of maximum initial cost first we need to follow some steps which are shown below:-
Let equity be 1 so debt = 1 × 0.80
= 0.80
weight of debt = 0.80 ÷ 1.8
= 0.44444
weight of equity = 1 ÷ 1.8
= 0.55556
Now
Cost of capital = (After tax cost of debt × Weight of debt) + (Cost of equity × Weight of equity)
= (5.1 × 0.44444) + (12.3 × 0.55556)
= 2.266644 + 6.833388
= 9.10 %
And,
Adjusted cost of capital is
= 9.1 + 1
= 10.1%
Maximum amount willing to pay = CF1 ÷ (Adjusted cost of capital -G)
= $1,830,000 ÷ (0.101 - 0.02)
= $1,830,000 ÷ 0.081
= $22,592,593
Answer:
e. the expected return on a security is positively and linearly related to the security's beta.
Explanation:
As per CAPM: Expected return (ER) = Rf + \beta (Rm - Rf)
Lets assume risk free return (Rf) as 5%, \beta as 2 and expected market return (Rm) as 10%
then, ER = 5% + 2 (10% - 5%) = 15%
However if lets assume all the other factors remain the same and \beta increases to 3
then, ER = 5% + 3 (10% - 5%) = 20%
Similarly if \beta reduces to 1
then, ER = 5% + 1 (10% - 5%) = 10%
So higher the \beta higher is the risk and hence higher the expected return. Hence expected return on a security is positvely and linearly related to the security's beta
