In the late 1990s, car leasing was very popular in the United States. A customer would lease a car from the manufacturer for a set term, usually two years, and then have the option of keeping the car. If the customer decided to keep the car, the customer would pay a price to the manufacturer, the "residual value," computed as 60 percent of the new car price. The manufacturer would then sell the returned cars at auction. In 1999, the manufacturer lost an average of $480 on each returned car (the auction price was, on average, $480 less than the residual value). A. Why was the manufacturer losing money on this program

Match the given situations to the type of risks that a business may face while taking credit. 1. beta ltd. had taken a loan from a bank for a period of 15 years, but its sales are gradually showing a decline. 2. alpha ltd. has taken a loan for increasing its production and sales, but it has not conducted any research before making this decision. 3. delphi ltd. has an overseas client. the economy of the client’s country is going through severe recession. 4. delphi ltd. has taken a short-term loan from the bank, but its supply chain logistics are not in place. a. foreign exchange risk b. operational risk c. term of loan risk d. revenue projections risk

You are attending college in the fall and you need to purchase a computer. you must finance the purchase because your parents will not purchase it for you, and you do not have the cash on hand to purchase it. in blank #1 determine which type of credit would you use to finance your purchase (installment, non-installment, or revolving credit). (2 points) in blank #2 defend your credit choice by explaining why your financing option is the best option for you. (2 points) in blank #3 explain why you selected that credit option over the other two options available. (2 points)

You are a manager at asda. you have been given the demand data for the past 10 weeks for swim rings for children. you decide to run multiple types of forecasting methods on the data to see which gives you the best forecast. if you were to use exponential smoothing with alpha =.8, what would be your forecast for week 22? (the forecast for week 21 was 1277.) week demand 12 1317 13 1307 14 1261 15 1258 16 1267 17 1256 18 1268 19 1277 20 1277 21 1297