Answer:
Investors will have to pay tax on the interest income received from the bonds.
Explanation:
Interest earned from corporate bonds and capital gained through corporate bond transactions is taxable income. The interest earned from a corporate bond is subject to taxation by both the federal and state governments.
The government will not sell sin Qua corporation bonds as it is a public company. Bonds do not pay interest quarterly but rather semi-annually or annually. Again, the maturity of the bond is determined at the time they are issued. Creditworthiness will only affect the bond price but not its maturity period.
Investors will have to pay tax on the interest income received from the bonds is thus the correct statement.
Answer:
On October 01, 2017
The amount actually borrowed that is $ 701,000 will be recorded as liability/note payable on october 01, 2017. The following accounting entry will be passed
Debit Cash Asset $ 701,000
Credit Note payable $ 701,000
Interest recognized from October 1 to December 31, 2017
The premium amount paid on redemption will be recorded as interest over the period of time. The interest amount is
Interest = 721,000 -701,000 = $ 20,000
So this above calculated expense will be recognized as an expense over loan period.
Answer:
$880.31
Explanation:
Here for computing the new price of the bond we use the present value formula i.e. to be shown in the attachment
Given that,
Assuming Future value = $1,000
Rate of interest = 8.6% ÷ 2 = 4.3%
NPER = 8 years × 2 = 16
PMT = $1,000 × 6.5% ÷ 2 = $32.50
The formula is shown below:
= -PV(Rate;NPER;PMT;FV;type)
So, after applying the above formula, the new price of the bond is $880.31
Given the following:
Sigma =
17.8
E =
44 points
Confidence interval = 99% - 2.58
Confidence interval = 95% - 1.96
In order to get the sample size,
use the formula:
For 99% confidence level
n =
[ (z value x s) / E ]2
n =
[ (2.58 x 17.8) / 44]2
n =
1. 089 or 1 (rounded up)
For 95% confidence level
n =
[ (z value x s) / E ]2
n =
[ (1.96 x 17.8) / 44]2
n =
0.628 or 1 (rounded up)
As we decrease the confidence
level, from 99% to 95%, our confidence interval gets smaller. In additional, to
be more confident that our interval actually comprises the population mean we
have to increase the size of the interval. To ease that trade off between level
of confidence and the precision of our interval is to primarily increase the
sample size.