Answer:
the annual pre-tax cost of debt is 10.56%
Explanation:
the beore-tax component cost of debt will be the actual market rate of the bonds, as they offer an interest rate of 11% but are selling at 104 points not at par thus, there is a difference between the rates.
We solve for the rate which makes the coupon and maturity 104
with excel or a financial calculator
PV of the coupon payment
C 5.500 (100 x 11%/2)
time 60 (30 years x 2 payment per year)
rate <em>0.052787474</em>
PV $99.4338
PV of the maturity
Maturity 100.00
time 60.00
rate <em>0.052787474</em>
PV 4.57
<em><u>Adding both we should get 104 which is the amount the bonds is selling:</u></em>
PV coupon $99.4338 + PV maturity $4.5662 = $104.0000
The rate is generated using goal seek or wiht a financial calculator.
This rate is a semiannual rate, so we multiply by 2 to get the annual cost of debt:
0.052787474 x 2 = 0.105574947
The cost of debt for the firm is 10.56%
Answer:
$11,175,000
Explanation:
The net sales of Siena Company for the last year shall be determined through following mentioned formula:
Net sales=Gross sales-sales returns and allowances-sales discounts
In the given question:
Gross sales=$11,720,000
Sales returns and allowances=$370,000
Sales discounts=$175,000
Net sales=$11,720,000-$370,000-$175,000=$11,175,000
Answer:
Buy 7% less houses
Explanation:
Income elasticity of demand measures the responsiveness of quantity demanded to changes in income
Income elasticity of demand = percentage change in quantity demanded/ percentage change in income
1.40 = percentage change in quantity demanded/ 5%
Percentage change in quantity demanded = 1.4 × 5% = 7%
Because the coefficient of elasticity is greater than one, it means demand is income elastic. This means quantity demanded is responsive to changes in income. A fall in income would reduce the quantity demanded.
I hope my answer helps you
Answer:
Mark my answer brainliest
Answer: b. It can identify transactions where the transaction date is in a future period and the cleared date is in the statement period
.
Explanation:
QuickBooks online uses machine learning based on the transactions that it conducts with its millions of users so that it provides a better experience for those same users.
One way machine learning is used is in reconciliation where it identifies transactions that may have a future date but by virtue of their clearing dates should be in the current period and so may have been hidden.
