Complete the following mini-case studies Instructions: 1. Please submit your worksheets for the problems in a single Excel workbook. 2. Post your solution on the site. 3. As with any case studies, please feel free to make business assumptions underlying your financial projections. Judgment calls can also be made. 4. Grading criteria: Data accuracy, timeliness, deliverable interface(s) and robustness. 5. Total # of questions: eight (8). Thank you all. Case Study I: Dinsmore Artists International (25 points) Dinsmore Artists International is in the business of managing singers and other artists in the entertainment industry. It is considering the purchase of an executive jet plane to transport its executives and the artists it represents to various meetings and performance sites. It expects that by owning its own executive jet, it can save $1,400,000 the first year of operation for expenses that it would otherwise incur for buying seats on commercial flights or for chartering flights. It expects that the year-to-year growth in the annual savings would be 10%. The choice has narrowed down to two planes: the Aero Commander and the Super Eagle. Both provide the same savings and the same basic service (e.g., the same passenger and luggage capacity, flight speed, and maximum altitude of operation). The Aero Commander jet sells for $4,800,000. Its normal operating expenses would be $290,000 the first year and would increase 8.5% per year thereafter. In addition, there would be a cost of $350,000 for a major engine overhaul at the end of the third year. Treat the overhaul cost as an operating expense. The cabin noise level in the Aero Commander is lower than in the Super Eagle, and its seats are somewhat more comfortable. The Super Eagle jet sells for $3,950,000. Its normal operating expenses would be $335,000 the first year and would increase 8% per year thereafter. In addition, there would be major engine overhauls at the end of the second and fourth years, each of which would cost $300,000. Treat the overhaul costs as operating expenses. Dinsmore uses a WACC or discount rate of 10% and a reinvestment rate of 9% to evaluate its investments in fixed assets. Tax rates are 40% for regular income and 25% for capital gains or losses. The jet purchased would be paid for and put into service during the first quarter of Dinsmores financial year. It would be depreciated according to the appropriate MACRS schedule from (i.e., 7-year life with first-quarter convention). Dinsmore expects to sell whichever plane it chooses at the end of the fifth year for 20% of its purchase price. 1. What is the NPV, IRR, and modified internal rate of return associated with each of the two jet planes? Based on these values, what action do you recommend Dinsmore to take? 2. What non-financial information should Dinsmore take into consideration before making its final decision? Why might the information be important in Dinsmores decision? How might this information change the decision in part 1? Case Study II: How Expensive a Home Can You Afford to Buy (20 points) Lenders generally allow clients to borrow as much as they believe borrowers can afford, based on their income, debts, and credit history. When deciding whether or not a potential buyer qualifies for a first mortgage on a home, lenders usually look at two ratios, called the front-end and the back-end ratios,. Each ratio generally produces a different home price that a buyer can afford. The maximum home price a buyer can afford is the lesser of the two affordable home prices produced by the two ratios. The front-end ratio is the monthly cost of ownership, which includes the monthly payments on the mortgage (principal plus interest), taxes, insurance, and any home-owners association dues, as a percentage of the buyers monthly income. Lenders used to limit front-end ratios up to 33 percent, but later they allowed up to 40 percent. The back-end ratio is the sum of the monthly cost of ownership (as in part a) plus other debt payments, such as loans for cars, furniture, and home appliances, as a percentage of the buyers monthly income. Lenders used to limit back-end ratios up to 36 percent, but later they allowed up to 42 percent (and sometimes higher). * * * * * * * * * ** * * * ** * * * ** * * * * Marilyn and Paul Jones are potential first-time home owners. Their combined annual income is $145,000. They are making $570 monthly payments on a 3-year old car and $105 monthly payments for the furniture they have had in the apartment they have rented for the past two years. They have saved enough money to make a down payment of $130,000 on the purchase of a home. The annual cost of home ownership and liability insurance would be 0.5% of the selling price of the home, and the annual taxes would be 1% of the selling price of the home. The lender will charge an annual interest rate of 4.4% on a conventional 30-year first mortgage. a. Using the guide lines above, what is the maximum mortgage and home price Marilyn and Paul can afford? Include both a front-end and back-end analysis side-by-side on a single worksheet. Use maximum allowable values of 40% for the front-end ratio and 42% for the back-end ratio. Show all input data and all calculations or results. Use an IF statement to identify the maximum mortgage and home price Marilyn and Paul can afford. b. Suppose Marilyn and Paul used $10,000 to pay off the entire balance of their car and furniture loans, thereby reducing their home down payment to $80,000. How would this change the maximum mortgage and home price they can afford? Case Study 3 Financial Projections (15 points) Calamity Industries has prepared the condensed forecast income statement for the year ending December 31, 2016. After creating the forecast, Calamity develops a new product, which will require $100 million in additional capital expenditures at the beginning of 2016. With the new product, EBIT in 2016 is expected to be 15 percent higher than the amount forecast in Exhibit above. To finance the increase in the capital budget, Calamity is considering a plan using 50 percent equity and 50 percent long-term debt. New equity would be issued at $25.00 net proceeds per share and the interest rate on the new long-term debt would be 6.5%. Calamity is reviewing how this financing, if completed on December 31, 2015, would affect the companys EPS A. Construct a pro forma income statement for 2016, assuming the financing plan is adopted. Instead of using 50 percent equity and 50 percent long-term debt, Calamity decides to finance the entire capital budget increase by issuing $100 million in new long-term debt. Jack Deven, a fixed income portfolio manager with LightStreet Investments, is concerned about the effect of such a large debt issuance on Calamitys s credit quality and calculates selected pro forma financial credit quality ratios, shown in Exhibit below. LightStreet owns previously issued option-free Calamity bonds in its U.S. Corporate Bond portfolio. These bonds have a 10-year maturity and a modified duration of 6.5 years. Deven wants to compare his recalculated credit ratios to LightStreets credit quality standards, also shown in Exhibit below. Calamity satisfied each of these credit quality standards prior to the new debt issue. For each standard no longer satisfied after the new debt issue, Deven believes the yield on the previously issued Calamity bonds will increase by 10 basis points. B. i. Identify the ratios that would contribute to an increase in the total yield on the previously issued Calamity bonds if Devens analysis is correct. ii. Calculate the direction and magnitude of the percentage price change due to the change in yield.