Financial management paper 3
Build a Model
| Solution | 8/13/15 | Note: when creating student version, be sure to delete Scenario Summary worksheet. Also delete the Best and Worse case scenarios from the Scenario Manager. Also delete this message in the student version. | ||||||||
| Chapter: | 11 | Estimating Cash Flows and Analyzing Risk | ||||||||
| Problem: | 18 | |||||||||
| Webmasters.com has developed a powerful new server that would be used for corporations’ Internet activities. It would cost $10 million at Year 0 to buy the equipment necessary to manufacture the server. The project would require net working capital at the beginning of each year in an amount equal to 10% of the year's projected sales; for example, NWC0 = 10%(Sales1). The servers would sell for $24,000 per unit, and Webmasters believes that variable costs would amount to $17,500 per unit. After Year 1, the sales price and variable costs will increase at the inflation rate of 3%. The company’s nonvariable costs would be $1 million at Year 1 and would increase with inflation. | ||||||||||
| The server project would have a life of 4 years. If the project is undertaken, it must be continued for the entire 4 years. Also, the project's returns are expected to be highly correlated with returns on the firm's other assets. The firm believes it could sell 1,000 units per year. | ||||||||||
| The equipment would be depreciated over a 5-year period, using MACRS rates. The estimated market value of the equipment at the end of the project’s 4-year life is $500,000. Webmasters’ federal-plus-state tax rate is 40%. Its cost of capital is 10% for average-risk projects, defined as projects with a coefficient of variation of NPV between 0.8 and 1.2. Low-risk projects are evaluated with a WACC of 8%, and high-risk projects at 13%. | ||||||||||
| a. Develop a spreadsheet model, and use it to find the project’s NPV, IRR, and payback. | ||||||||||
| Input Data (in thousands of dollars) | ||||||||||
| Equipment cost | $10,000 | Key Results: | ||||||||
| Net operating working capital/Sales | 10% | NPV = | $3,463 | |||||||
| First year sales (in units) | 1,000 | IRR = | 21.1% | |||||||
| Sales price per unit | $24.00 | Payback = | 2.90 | |||||||
| Variable cost per unit (excl. depr.) | $17.50 | |||||||||
| Nonvariable costs (excl. depr.) | $1,000 | |||||||||
| Market value of equipment at Year 4 | $500 | |||||||||
| Tax rate | 40% | |||||||||
| WACC | 10% | |||||||||
| Inflation in prices and costs | 3.0% | |||||||||
| Estimated salvage value at year 4 | $500 | |||||||||
| Intermediate Calculations | 0 | 1 | 2 | 3 | 4 | |||||
| Units sold | 1,000 | 1,000 | 1,000 | 1,000 | ||||||
| Sales price per unit (excl. depr.) | $24.00 | $24.72 | $25.46 | $26.23 | ||||||
| Variable costs per unit (excl. depr.) | $17.50 | $18.03 | $18.57 | $19.12 | ||||||
| Nonvariable costs (excl. depr.) | 1,000 | 1,030 | 1,061 | 1,093 | ||||||
| Sales revenue | $24,000 | $24,720 | $25,462 | $26,225 | ||||||
| Required level of net operating working capital | $2,400 | $2,472 | $2,546 | $2,623 | $0 | |||||
| Basis for depreciation | $10,000 | |||||||||
| Annual equipment depr. rate | 20.00% | 32.00% | 19.20% | 11.52% | ||||||
| Annual depreciation expense | $2,000 | $3,200 | $1,920 | $1,152 | ||||||
| Ending Bk Val: Cost – Accum Dep'rn | $10,000 | $8,000 | $4,800 | $2,880 | $1,728 | |||||
| Salvage value | $500 | |||||||||
| Profit (or loss) on salvage | -$1,228 | |||||||||
| Tax on profit (or loss) | -$491 | |||||||||
| Net cash flow due to salvage | $991 | |||||||||
| Years | ||||||||||
| Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | |||||
| Sales revenue | $24,000 | $24,720 | $25,462 | $26,225 | ||||||
| Variable costs | 17,500 | 18,025 | 18,566 | 19,123 | ||||||
| Nonvariable operating costs | 1,000 | 1,030 | 1,061 | 1,093 | ||||||
| Depreciation (equipment) | 2,000 | 3,200 | 1,920 | 1,152 | ||||||
| Oper. income before taxes (EBIT) | $3,500 | $2,465 | $3,915 | $4,858 | ||||||
| Taxes on operating income (40%) | 1,400 | 986 | 1,566 | 1,943 | ||||||
| Net operating profit after taxes | $2,100 | $1,479 | $2,349 | $2,915 | ||||||
| Add back depreciation | 2,000 | 3,200 | 1,920 | 1,152 | ||||||
| Equipment purchases | -$10,000 | |||||||||
| Cash flow due to change in NOWC | -$2,400 | -$72 | -$74 | -$76 | $2,623 | |||||
| Net cash flow due to salvage | $991 | |||||||||
| Net Cash Flow (Time line of cash flows) | -$12,400 | $4,028 | $4,605 | $4,193 | $7,681 | |||||
| Key Results: Appraisal of the Proposed Project | ||||||||||
| Net Present Value (at 10%) = | $3,463 | |||||||||
| IRR = | 21.09% | |||||||||
| MIRR = | 16.99% | |||||||||
| Payback = | 2.90 | |||||||||
| Discounted Payback = | 3.23 | |||||||||
| Data for Payback Years | Years | |||||||||
| 0 | 1 | 2 | 3 | 4 | ||||||
| Net cash flow | -$12,400 | $4,028 | $4,605 | $4,193 | $7,681 | |||||
| Cumulative CF | -$12,400 | -$8,372 | -$3,767 | $425 | $8,106 | |||||
| Part of year required for payback | 1.00 | 1.00 | 0.90 | 0.00 | ||||||
| Data for Discounted Payback Years | Years | |||||||||
| 0 | 1 | 2 | 3 | 4 | ||||||
| Net cash flow | -$12,400 | $4,028 | $4,605 | $4,193 | $7,681 | |||||
| Discounted cash flow | -$12,400 | $3,662 | $3,806 | $3,150 | $5,246 | |||||
| Cumulative CF | -$12,400 | -$8,738 | -$4,933 | -$1,783 | $3,463 | |||||
| Part of year required for discounted payback | 1.00 | 1.00 | 1.00 | 0.23 | ||||||
| b. Now conduct a sensitivity analysis to determine the sensitivity of NPV to changes in the sales price, variable costs per unit, and number of units sold. Set these variables’ values at 10% and 20% above and below their base-case values. Include a graph in your analysis. | ||||||||||
| % Deviation | SALES PRICE | Note about data tables. The data in the column input should NOT be input using a cell reference to the column input cell. For example, the base case Sales Price in Cell B95 should be the number $24.00 you should NOT have the formula =D28 in that cell. This is because you'll use D28 as the column input cell in the data table and if Excel tries to iteratively replace Cell D28 with the formula =D28 rather than a series of numbers, Excel will calculate the wrong answer. Unfortunately, Excel won't tell you that there is a problem, so you'll just get the wrong values for the data table! | ||||||||
| from | Base | NPV | ||||||||
| Base Case | $24.00 | $3,463 | ||||||||
| -20% | $19.20 | -$5,893 | ||||||||
| -10% | $21.60 | -$1,215 | ||||||||
| 0% | $24.00 | $3,463 | ||||||||
| 10% | $26.40 | $8,141 | ||||||||
| 20% | $28.80 | $12,820 | ||||||||
| % Deviation | VARIABLE COST | % Deviation | 1st YEAR UNIT SALES | |||||||
| from | Base | NPV | from | Base | NPV | |||||
| Base Case | $17.50 | $3,463 | Base Case | 1,000 | $3,463 | |||||
| -20% | $14.00 | $10,401 | -20% | 800 | $1,045 | |||||
| -10% | $15.75 | $6,932 | -10% | 900 | $2,254 | |||||
| 0% | $17.50 | $3,463 | 0% | 1,000 | $3,463 | |||||
| 10% | $19.25 | -$6 | 10% | 1,100 | $4,673 | |||||
| 20% | $21.00 | -$3,475 | 20% | 1,200 | $5,882 | |||||
| Deviation | NPV at Different Deviations from Base | |||||||||
| from | Sales | Variable | ||||||||
| Base Case | Price | Cost/Unit | Units Sold | |||||||
| -20% | -$5,893 | $10,401 | $1,045 | |||||||
| -10% | -$1,215 | $6,932 | $2,254 | |||||||
| 0% | $3,463 | $3,463 | $3,463 | |||||||
| 10% | $8,141 | -$6 | $4,673 | |||||||
| 20% | $12,820 | -$3,475 | $5,882 | |||||||
| Range | $18,712 | $13,876 | $4,837 | |||||||
| c. Now conduct a scenario analysis. Assume that there is a 25% probability that best-case conditions, with each of the variables discussed in Part b being 20% better than its base-case value, will occur. There is a 25% probability of worst-case conditions, with the variables 20% worse than base, and a 50% probability of base-case conditions. | ||||||||||
| Sales | Unit | Variable | ||||||||
| Scenario | Probability | Price | Sales | Costs | NPV | |||||
| Best Case | 25% | $28.80 | 1,200 | $14.00 | $25,435 | |||||
| Base Case | 50% | $24.00 | 1,000 | $17.50 | $3,463 | |||||
| Worst Case | 25% | $19.20 | 800 | $21.00 | ($11,990) | |||||
| Expected NPV = | $5,093 | |||||||||
| Standard Deviation = | $13,332 | |||||||||
| Coefficient of Variation = Std Dev / Expected NPV = | 2.62 | |||||||||
| d. If the project appears to be more or less risky than an average project, find its risk-adjusted NPV, IRR, and payback. | ||||||||||
| CV range of firm's average-risk project: | 0.8 | to | 1.2 | |||||||
| Low-risk WACC = | 8% | |||||||||
| WACC = | 10% | |||||||||
| High-risk WACC = | 13% | |||||||||
| Risk-adjusted WACC = | 13% | |||||||||
| Risk adjusted NPV = | $2,387 | |||||||||
| IRR = | 21.09% Kenneth D. Jackson: IRR does not change. |
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| Payback = | 2.90 Kenneth D. Jackson: Paypack does not change. |
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| e. On the basis of information in the problem, would you recommend that the project be accepted? | ||||||||||
| At this point, the project looks risky but acceptable. There is a good chance that it will produce a positive NPV, but there is also a chance that the NPV could be quite low. | ||||||||||
| The problem gave no information about the size of the project relative to the total corporation. If the company were quite large, and this were but one of many projects, and if the projects were independent of one another, then it should be accepted. However, if the firm were relatively small, and this project under bad conditions could bankrupt the company, then the decision is not clear. If management is highly risk averse, they might turn it down. However, well-diversified investors would probably prefer to see it accepted. So, to maximize the stock price, it should be accepted. | ||||||||||
| We indicate in the problem that this project's returns will tend to be highly correlated with the firm's other projects' returns. Thus, its stand-alone risk (which is what we have been analyzing) also reflects its within-firm risk. If this were not true, then we would need to make further risk adjustments. | ||||||||||
Sensitivity Analysis
Sales price -0.2 -0.1 0 0.1 0.2 -5892.876254354208 -1214.7695184755212 3463.3372174031774 8141.4439532818797 12819.550689160566 VC -0.2 -0.1 0 0.1 0.2 10401.207376545313 6932.2722969742463 3463.3372174031774 -5.5978621678877971 -3474.5329417389548 Units -0.2 -0.1 0 0.1 0.2 1044.9939047879197 2254.1655610955495 3463.3372174031774 4672.5088737108053 5881.6805300184315Percentage Deviation from Base
NPV ($)
Scenario Summary
| Scenario Summary | ||||||
| Current Values: | Base | Best | Worst | |||
| Created by Michael C. Ehrhardt on 11/13/2001 | Created by Michael C. Ehrhardt on 11/13/2001 Modified by Michael C. Ehrhardt on 11/13/2001 | Created by Michael C. Ehrhardt on 11/13/2001 | ||||
| Changing Cells: | ||||||
| $D$29 | 1,000 | 1,000 | 1,200 | 800 | ||
| $D$30 | $24.00 | $24.00 | $28.80 | $19.20 | ||
| $D$31 | $17.50 | $17.50 | $14.00 | $21.00 | ||
| Result Cells: | ||||||
| $D$79 | $3,463 | $3,463 | $25,435 | ($11,990) | ||
| $D$80 | 21.09% | 21.09% | 76.96% | ERROR:#NUM! | ||
| $D$81 | 16.99% | 16.99% | 43.42% | -41.46% | ||
| Notes: Current Values column represents values of changing cells at | ||||||
| time Scenario Summary Report was created. Changing cells for each | ||||||
| scenario are highlighted in gray. |