Answer:
Earnings per share 2016 = $0.00073
Earnings per share 2017 = $0.00095
Explanation:
Earnings per share relates to a period and not for a particular date, therefore, it is computed based on the average number of shares for the period.
Net income for each year
2017 = $62,000
2016 = $50,700
Shares at the end of year
2017 = 64,507,000
2016 = 66,282,000
2015 = 73,139,000
Average shares of 2016 = 
Average shares of 2017 =
= 65,394,500
Earning per share for 2016 = 
Earnings per share for 2017 = 
Answer:
6.69%
Explanation:
Price of Ace products bond issue = $1,196
Annual coupon payment = $80
Current yield = Annual coupon payment / Bond price
Current yield = $80/$1,196
Current yield = 0.0668896
Current yield = 6.69%
Answer:
7.6 percent
Explanation:
Vaughn should offer 7.6 percent on its commercial paper.
This is calculated by adding the 0.2 credit risk premium to 0.1 percent liquidity premium + 0.3 percent tax adjustment + 7 percent annualized t bills rate.
= 0.1 + 0.2 + 0.3 + 7
= 7.6
Based on this Vaughn would offer 7.6 percent on its commercial paper.
Answer :
13.86%
Explanation:
Calculation of the Expected rate of return
First step
Expected return = (.12 x.187) + (.84 x.144) + [.04 x(-.12)]
Second step
Expected return =(0.02244)+(0.12096)+ (-0.0048)
Expected return=0.1386 ×100
Expected return=13.86%
Therefore the Expected return would be 13.86%
The 95% confidence interval will be wider than the 90% confidence interval.
In statistics, the likelihood that a population parameter will fall between a set of values for a certain percentage of the time is referred to as a confidence interval. Analysts frequently employ confidence ranges that include 95% or 99% of anticipated observations. Therefore, it may be concluded that there is a 95% likelihood that the real value falls within that range if a point estimate of 10.00 with a 95% confidence interval of 9.50 - 10.50 is derived using a statistical model.
- The level of certainty or uncertainty in a sampling process is measured by confidence intervals.
- Additionally, they are employed in regression analysis and hypothesis testing.
- To determine statistical significance, statisticians frequently combine confidence intervals with p-values.
- 95% or 99% confidence levels are most frequently used in their construction.
Learn more about Confidence interval, here
brainly.com/question/13067956
#SPJ4