What exactly do you need to talk about… but hey i’m here lol
Answer:
Instructions are below.
Explanation:
Giving the following information:
Susan:
Annual deposit= $5,000 for 10 years
Lumo-sum for 30 years
Interest rate= 8.5%
Jane:
Annual deposit= $5,000 for 30 years.
<u>First, we will calculate the future value of Susan:</u>
<u></u>
First 10 years:
FV= {A*[(1+i)^n-1]}/i
A= annual deposit
FV= {5,000*[(1.085^10)-1]}/0.085
FV= $74,175.50
Last 30 years:
FV= PV*(1+i)^n
FV= 74,175.50*(1.085^30)
FV= $857,050.14
<u>Jane:</u>
FV= {A*[(1+i)^n-1]}/i
A= annual deposit
FV= {5,000*[(1.085^30)-1]}/0.085
FV= $621,073.63
<u>Earnings difference= 857,050.14 - 621,073.63= $235,976.51 in favor of Susan.</u>
Whole life policies provide “guaranteed” cash value accounts that grow according to a formula the insurance company determines. Universal life policies accumulate cash value based on current interest rates. Variable life policies invest funds in subaccounts, which operate like mutual funds.
Answer:
d.funded status relative to the accumulated benefit obligation.
Explanation:
Employees should be informed funded status relative to the accumulated benefit.
Nonquantitative methods to forecast the future need for employees, usually based on the knowledge of a pool of experts in a subject or an industry, is called QUALITAIVE FORECASTING in human resource forecasting.
Explanation:
- Qualitative forecasting is an estimation methodology that uses expert judgment, rather than numerical analysis. This type of forecasting relies upon the knowledge of highly experienced employees and consultants to provide insights into future outcomes.
- It is a statistical technique to make predictions about the future which uses numerical measures and prior effects to predict future events. These techniques are based on models of mathematics and in nature are mostly objective. They are highly dependent on mathematical calculations.
- Qualitative forecasting is useful when there is ambiguous or inadequate data.
- Qualitative forecasting is most useful in situations where it is suspected that future results will depart markedly from results in prior periods, and which therefore cannot be predicted by quantitative means.
