Because the people selling it needs to make profit.
Answer:
7.31%
Explanation:
The question is pointing at the bond's yield to maturity.
The yield to maturity can be computed using the rate formula in excel as provided below:
=rate(nper,pmt,-pv,fv)
nper is the number of times the bond would pay annual coupons which is 31
pmt is the annual coupon payment i.e $1000*8.0%=$80.00
pv is the current price of the bond which is $1,084
fv is the face value of the bond which is $1,000
=rate(31,80,-1084,1000)=7.31%
The yield to maturity is 7.31%
That is the annual rate of return for an investor that holds the bond till maturity.
Answer:
True
Explanation:
The incremental budget technique is an important management accounting technique, which is prepared by making minimal changes in the previous budget. The budget is designed by allocating funds by using the preceding budget as a reference point. Incremental budget encourages spending up to the budget. It also helps to make sure that a reasonable budget is allocated for the next period.
Answer:
1. According to the case study (copy attached) "the upcoming technology that will be used in retail stores to improve customer service is the Scan As You Go Mobile Devices".
2. It is currently being used by sales officers in some shopping malls to scan items on the spot and let customers pay without going through the cash registers.
It is also being used to help customers take advantage of discounts and coupons on items being purchased. The effect is that customers spend 10% when they shop using this technology.
3. In the future, the customers will be able to check out using their smartphones.
4. According to the case study, the technology referred to in 3 above is already pioneered by Apple Stores.
Cheers!
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
