Answer:
Daily measurement of credit analyst production.
Explanation:
The financial institutions have a department that is in charge of deciding if a credit application is viable or not. Usually there is a great amount of credit applicants and the work load is high for the credit analyst that have to give a financial assessment of each customer asking for a loan.
In this context the measurement of the time that is spend by each credit analyst in order to successfully complete the analysis of one application is vital in order to decide what is going to be the number of credits that each analyst must process in a day.
Usually the Manager of this department measures the time spend by an analyst regarding the type of loan that the client is asking for. In this sense it will be faster to analyze an application that only ask for a credit card than an application that ask for a mortgage.
Upon the results they divide the quantity of hours available to work into the time spend to each analysis and finally decide what is going to be the final amount of credits that an analyst most process.
I believe that the results of this measurements are optimal if the sample that is used is broad and it takes into account days where the number of credits available to analyze are few and a lot.
Answer:
Return on Investment is 12%.
Explanation:
Net income = Dividend = $0.60
Current Value = $33
Original Value = #30
Formula for Return on Investment:
Return on Investment = (Net Income + (Current Value - Original Value)) / Original Value x 100
ROI = (($0.60 + ( $33 - $30 ) ) / $30 ) x 100
ROI = (($0.60 + $3 ) / $30 ) x 100
ROI = ( $3.60 / $30 ) x 100
ROI = 0.12 x 100
ROI = 12%
So Return on Investment is 12% for the given investment.
Answer:
False
Explanation:
I've found that the Netflix is intuitive enough to not give R rated options after searching a kids movie
Answer:
Total= $278,300
Explanation:
Giving the following information:
The production budget indicates that the number of units expected to be produced is 189,000 in October, 197,500 in November, and 194,000 in December. Glaston assigns variable overhead at a rate of $0.70 per unit of production. Fixed overhead equals $146,000 per month.
Budgeted overhead for October:
Variable= 0.70*189,000= $132,300
Fixed= $146,000
Total= $278,300
The answer is Purchasing Power Parity. In addition, to correct for the incapability to associate purchasing power through countries, it turns to another measure of economic development named purchasing power parity. Conferring to this concept, two currencies are in equilibrium or at par when a market basket of goods in which captivating into account the exchange rate is valued the similar in both countries.