Answer:
PV = $4,863.24
Explanation:
Computation of the given data are as follows:
Face value = $5,000
YTM = 3.6%
YTM (Semiannual) (Rate) = 3.6% ÷ 2 = 1.8%
Coupon rate = 3.4%
Coupon rate semiannual = 3.4% ÷ 2 = 1.7%
Coupon payment ( Pmt) = 1.7% × $5,000 = $85
Time period (semiannual) (Nper) = 19 × 2 = 38
By putting the value in the financial calculator, we will get the present value.
Attachment is attached below.
PV = $4,863.24
Answer:
The correct answer would be options A and B.
Explanation:
When a company is in financial trouble or faced a bankruptcy, then a process of reorganization is used in an attempt to extend the life of the company through some special arrangement to make the organization successful and progressive.
In this question, Jim wants to know how employees of the company think of the new structure after the reorganization. So the best method to talk to employees directly is to give them a surprise visit and talk to them about the reorganization. Also town hall meetings should be arranged to meet the employees one on one in an informal gathering and talk to them about the reorganization.
Answer:
Decrease by $1
Explanation:
Given:
Old data:
Q0 = 2,000 units
P0 = $20
Total revenue before change = 2,000 x $20 = $40,000
After change in Price.
Q1 = 2,100 units
P1 = $19
Total revenue After change = 2,100 x $19 = $39,900
Computation of Marginal Revenue:
Marginal Revenue = (P1 - P0) / (Q1 - Q0)
= ($39,900 - $40,000) / (2,100 - 2,000)
= -100 / 100
= $(-1)
Marginal revenue will decrease by $1
Answer:
B. they involve the use of expert judgement do develop forecasts
Explanation:
A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.
Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.
In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.
Cheers.
