Financial Management Excel
Sheet1
| Inputs | |||||||||||||||
| Equipment & shipping & installation costs | $710,000,000 | ||||||||||||||
| The salvage value of the fixed assets (7.5%) | $53,250,000 | ||||||||||||||
| Units sold, Year 1 | 2,500,000 | ||||||||||||||
| Annual change in units sold, after Year 1 | 8.50% | ||||||||||||||
| Sales price per unit, Year 1 | $260.00 | ||||||||||||||
| Annual change in sales price, after Year 1 | 2.50% | ||||||||||||||
| Variable cost per unit (VC), Year 1 | $205.00 | ||||||||||||||
| Annual change in VC, after Year 1 | 2.50% | ||||||||||||||
| Nonvariable cost (Non-VC), Year 1 | $0 | ||||||||||||||
| Annual change in Non-VC, after Year 1 | 0.00% | ||||||||||||||
| Project WACC | 12.25% | ||||||||||||||
| Tax rate | 26.70% | ||||||||||||||
| Working capital as % of next year's sales | 10.00% | ||||||||||||||
| Accelerated Depreciation | |||||||||||||||
| Depreciable basis: | $710,000,000 | Rate/year | 10% | 18% | 14% | 12% | 9% | 7% | 7% | 7% | 7% | 7% | 3% | ||
| Dollars/year | $71,000,000 | $127,800,000 | $102,240,000 | $81,792,000 | $65,462,000 | $52,327,000 | $46,505,000 | $46,505,000 | $46,576,000 | $46,505,000 | $23,288,000 | ||||
| Cash Flows | |||||||||||||||
| Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | |||
| Unit sales | 2,500,000 | 2,712,500 | 2,943,063 | 3,193,223 | 3,464,647 | 3,759,142 | 4,078,669 | 4,425,356 | 4,801,511 | 5,209,639 | 5,652,459 | ||||
| Sales price per unit | $260 | $267 | $273 | $280 | $287 | $294 | $302 | $309 | $317 | $325 | $333 | ||||
| Variable cost per unit | $205 | $210 | $215 | $221 | $226 | $232 | $238 | $244 | $250 | $256 | $262 | ||||
| Cash Flows At End of Year | |||||||||||||||
| Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | |||
| Equipment | -$710,000,000 | ||||||||||||||
| Initial investment in working capital | -65,000,000 | ||||||||||||||
| Net Cash Flows Over the Project's Life | |||||||||||||||
| Sales revenues = Units × Price/unit | $650,000,000 | $722,881,250 | $803,934,310 | $894,075,445 | $994,323,654 | $1,105,812,194 | $1,229,801,386 | $1,367,692,866 | $1,521,045,429 | $1,691,592,648 | $1,881,262,473 | ||||
| Variable costs = Units × Cost/unit | 512,500,000 | 569,964,063 | 633,871,283 | 704,944,101 | 783,985,958 | 871,890,383 | 969,651,093 | 1,078,373,221 | 1,199,285,819 | 1,333,755,741 | 1,483,303,104 | ||||
| Depreciation: Accelerated, from table above | 71,000,000 | 127,800,000 | 102,240,000 | 81,792,000 | 65,462,000 | 52,327,000 | 46,505,000 | 46,505,000 | 46,576,000 | 46,505,000 | 23,288,000 | ||||
| Operating profit (EBIT) | $66,500,000 | $25,117,188 | $67,823,027 | $107,339,344 | $144,875,696 | $181,594,810 | $213,645,293 | $242,814,645 | $275,183,610 | $311,331,906 | $374,671,369 | ||||
| Taxes on operating profit | 17,755,500 | 6,706,289 | 18,108,748 | 28,659,605 | 38,681,811 | 48,485,814 | 57,043,293 | 64,831,510 | 73,474,024 | 83,125,619 | 100,037,256 | ||||
| Net operating profit after taxes | $48,744,500 | $18,410,898 | $49,714,279 | $78,679,739 | $106,193,885 | $133,108,996 | $156,602,000 | $177,983,135 | $201,709,586 | $228,206,287 | $274,634,114 | ||||
| Add back depreciation | 71,000,000 | 127,800,000 | 102,240,000 | 81,792,000 | 65,462,000 | 52,327,000 | 46,505,000 | 46,505,000 | 46,576,000 | 46,505,000 | 23,288,000 | ||||
| Salvage value (taxed as ordinary income) | 53,250,000 | ||||||||||||||
| Tax on salvage value | -14,217,750 | ||||||||||||||
| Change in WC: Outflow (–) or recovery (+) | -7,288,125 | -8,105,306 | -9,014,113 | -10,024,821 | -11,148,854 | -12,398,919 | -13,789,148 | -15,335,256 | -17,054,722 | -18,966,983 | 188,126,247 | ||||
| Project net cash flows: Time Line | -$775,000,000 | $112,456,375 | $138,105,592 | $142,940,165 | $150,446,918 | $160,507,031 | $173,037,077 | $189,317,852 | $209,152,878 | $231,230,864 | $255,744,305 | $525,080,611 | |||
2. Sens.
| ERROR:#REF! | ||||||||
| Section 11.5 Sensitivity Analysis | ||||||||
| Tab 2 extends the basic model (shown in Tab 1) to include sensitivity analysis. Tab 2 also illustrates special cases of sensitivity analysis, incuding breakeven analysis, one-way data tables with multiple outputs, and two-way data tables. We also include a brief tutorial for Data Tables. | ||||||||
| For ease of reference, we repeat Figure 11-1, Analysis of an Expansion Project: Inputs and Key Results (Dollars in Thousands) | ||||||||
| Part 1. Inputs and Key Results | ||||||||
| Inputs | Base-Case | Key Results | ||||||
| Equipment cost | $3,400 | NPV | $36 | |||||
| Salvage value, equipment, Year 4 | $300 | IRR | 10.35% | |||||
| Opportunity cost | $0 | MIRR | 10.23% | |||||
| Externalities (cannibalization) | $0 | PI | 1.01 | |||||
| Units sold, Year 1 | 550 | Payback | 3.41 | |||||
| Annual change in units sold, after Year 1 | 4.00% | Discounted payback | 3.98 | |||||
| Sales price per unit, Year 1 | $11.60 | |||||||
| Annual change in sales price, after Year 1 | 2.00% | |||||||
| Variable cost per unit (VC), Year 1 | $6.00 | |||||||
| Annual change in VC, after Year 1 | 2.00% | |||||||
| Nonvariable cost (Non-VC), Year 1 | $2,000 | |||||||
| Annual change in Non-VC, after Year 1 | 2.00% | |||||||
| Project WACC | 10.00% | |||||||
| Tax rate | 40.00% | |||||||
| Working capital as % of next year's sales | 12.65% | |||||||
| If you change any of the blue values above, the model below will change instantly, causing changes in NPV and other output variables. You can see the effect in the Key Results box shown above. If you change an input value but later want to return to the base case, use Scenario Manager to select the Base-Case. In Excel 2003, select Tools, Scenarios. In Excel 2007, select Data, What-If-Analysis, Scenario Manager. | ||||||||
| For ease of reference, we repeat Figure 11-2. Analysis of a New (Expansion) Project: Cash Flows and Performance Measures (Dollars in Thousands) | ||||||||
| Part 2. Cash Flows and Performance Measures | ||||||||
| Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | |||
| Unit sales | 550 | 572 | 595 | 619 | ||||
| Sales price per unit | $11.60 | $11.83 | $12.07 | $12.31 | ||||
| Variable cost per unit | $6.00 | $6.12 | $6.24 | $6.37 | ||||
| Nonvariable costs (excluding depreciation) | $2,000 | $2,040 | $2,081 | $2,122 | ||||
| Cash Flows At End of Year | ||||||||
| Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | |||
| Equipment | -$3,400 | |||||||
| Initial investment in working capital | -807 | |||||||
| Opportunity cost, after taxes | 0 | |||||||
| Net Cash Flows Over the Project's Life | ||||||||
| Sales revenues = Units × Price/unit | $6,380 | $6,768 | $7,179 | $7,616 | ||||
| Variable costs = Units × Cost/unit | 3,300 | 3,501 | 3,713 | 3,939 | ||||
| Nonvariable costs (excluding depreciation) | 2,000 | 2,040 | 2,081 | 2,122 | ||||
| Depreciation: Accelerated, from table below | 1,122 | 1,530 | 510 | 238 | ||||
| Operating profit (EBIT) | -$42 | -$303 | $875 | $1,316 | ||||
| Taxes on operating profit | -17 | -121 | 350 | 526 | ||||
| Net operating profit after taxes | -$25 | -$182 | $525 | $790 | ||||
| Add back depreciation | 1,122 | 1,530 | 510 | 238 | ||||
| Opportunity cost, after taxes | 0 | 0 | 0 | 0 | ||||
| Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | ||||
| Salvage value (taxed as ordinary income) | 300 | |||||||
| Tax on salvage value (SV is taxed at 40%) | -120 | |||||||
| Change in WC: Outflow (–) or recovery (+) | -49 | -52 | -55 | 963 | ||||
| Project net cash flows: Time Line | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | |||
| Project Evaluation | ||||||||
| Results | ||||||||
| NPV | $36 | |||||||
| IRR | 10.35% | |||||||
| MIRR | 10.23% | |||||||
| Profitability index | 1.01 | |||||||
| Payback | 3.41 | |||||||
| Discounted payback | 3.98 | |||||||
| Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | ||
| Cumulative cash flows for payback | -$4,207 | -$3,159 | -$1,863 | -$883 | $1,288 | |||
| Discounted cash flows for disc. payback | -$4,207 | $952 | $1,071 | $736 | $1,483 | |||
| Cumulative discounted cash flows | -$4,207 | -$3,255 | -$2,183 | -$1,447 | $36 | |||
| Accelerated Depreciation | ||||||||
| Depreciable basis: | $3,400 | Rate/year | 33% | 45% | 15% | 7% | ||
| Dollars/year | $1,122 | $1,530 | $510 | $238 | ||||
| SENSITIVITY ANALYSIS (Section 11.5) | ||||||||
| Risk in capital budgeting really means the probability that the actual outcome will be worse than the expected outcome. For example, if there were a high probability that the expected NPV as calculated above will actually turn out to be negative, then the project would be classified as relatively risky. The reason for a worse-than-expected outcome is, typically, because sales were lower than expected, costs were higher than expected, or the project turned out to have a higher than expected initial cost. In other words, if the assumed inputs turn out to be worse than expected, then the output will likewise be worse than expected. We use data tables below to examine the project's sensitivity to changes in the input variables. | ||||||||
| Following is a tutorial for constructing a Data Table to be used in sensitivity analysis. This section may be skipped if you already know how to construct data tables. | ||||||||
| Instructions for Constructing Data Tables: | ||||||||
| Step 1: | ||||||||
| Deviation | Sales | NPV | Set up the Data Table by typing in the labels and numbers shown here. The column for sales price/unit is the input range and the column for NPV is the output range. Data Tables take each input value and then automatically calculate a new output based on the input. Be sure to type in the actual sales price of $11.60 and not a formula. Every year we have students who make this mistake! Don't be one of them! | |||||
| from Base | Price/unit | |||||||
| -30% | ||||||||
| 0% | $11.60 | |||||||
| 30% | ||||||||
| Step 2: | ||||||||
| Deviation | Sales | NPV | Enter the formula =$B$117*(1+A116) into the light green cell and then copy it into the light blue cell. This sets up the input range's values of sales prices for which you want new NPV's to be calculated. It is ok to have a formula in the input range, but be sure that none of these inputs is a formula that refers back to the actual value of sales in the input section of the worksheet. | |||||
| from Base | Price/unit | |||||||
| -30% | $8.12 | |||||||
| 0% | $11.60 | |||||||
| 30% | $15.08 | |||||||
| Step 3: | ||||||||
| Deviation | Sales | NPV | Enter into the tan cell a formula that refers to the cell in the results section which shows the NPV for the given set of inputs. In this example, that is =$I$15. Notice that the tan cell will show the current value of NPV. | |||||
| from Base | Price/unit | $35.84 | ||||||
| -30% | $8.12 | |||||||
| 0% | $11.60 | |||||||
| 30% | $15.08 | |||||||
| Deviation | Sales | NPV | Now use your cursor to hightlight the range we show in gray (this is called the Data Table range); notice that this highlighted range includes the cells for the new inputs for price and the cell for the reference to NPV. | |||||
| from Base | Price/unit | $35.84 | ||||||
| -30% | $8.12 | |||||||
| 0% | $11.60 | |||||||
| 30% | $15.08 | |||||||
| With the range still highlighted, open the Table dialog box. In Excel 2003, you go the Main Menu, select Data, then Table. In Excel 2007, select Data, What-If-Analysis, then Data Table. | ||||||||
| This next step is a bit tricky, so be careful. The cursor in the dialog box will be blinking in the "Row input cell:" box. Here you have to tell Excel if the inputs in your Data Table are arranged in a row or a column. Excel assumes a row, but this is not correct in our example--your inputs are in a column, Column B. So, you click on the "Column input cell" box, causing the cursor to blink in that box. | ||||||||
| Excel wants to know where the input variable, sales price, first enters the model. If you look up in the Input Data section, you will see that it enters in cell E21, so you type E21 in the Column input cell (or click on cell E21 to enter it). Here's the final, completed, dialog box: | ||||||||
| When you click OK, Excel will calculate NPV at the three input values specified in your Data Table, insert them in the table, leaving the Data Table as shown below. | ||||||||
| Deviation | Price | NPV | ||||||
| from Base | $35.84 | |||||||
| -30% | $8.12 | -$3,838.74 | ||||||
| 0% | $11.60 | $35.84 | ||||||
| 30% | $15.08 | $3,910.42 | ||||||
| We used Data Tables to create inputs for the sensitivity graph. (First, be sure the Base-Case scenario is showing.) Note that the portion of the rows that are in the Data Tables are shown in shaded colors. | ||||||||
| Deviation Mike Ehrhardt: Change the cells below to get different deviations. All other inputs will be updated automatically. | Equipment | NPV | Deviation | Unit Sales | NPV | Deviation | Sales Price/unit | NPV |
| from Base | $36 | from Base | $36 | from Base | $36 | |||
| -30% | $2,380 | $716 | -30% | 385 | -$1,791 | -30% | $8.12 | -$3,839 |
| 0% | 3,400 | 36 | 0% | 550 | 36 | 0% | 11.60 | 36 |
| 30% | 4,420 | -645 | 30% | 715 | 1,863 | 30% | 15.08 | 3,910 |
| Deviation | VC/Unit | NPV | Deviation | Non-VC | NPV | Deviation | Project WACC | NPV |
| from Base | $36 | from Base | $36 | from Base | $36 | |||
| -30% | $4.20 | $2,083 | -30% | $1,400 | $1,209 | -30% | 7.00% | $361 |
| 0% | 6.00 | 36 | 0% | 2,000 | 36 | 0% | 10.00% | 36 |
| 30% | 7.80 | -2,011 | 30% | 2,600 | -1,137 | 30% | 13.00% | -254 |
| The following graph is meaningful only if the scenario is set to the Base-Case. | ||||||||
| Figure 11-3. Sensitivity Graph for Solar Water Heater Project (Dollars in Thousands) | ||||||||
| Data for Sensitivity Graph | ||||||||
| Deviation | NPV with Variables at Different Deviations from Base | |||||||
| from Base | Equipment | Price | Units | VC/Unit | Non-VC | WACC | ||
| -30% | $716 | -$3,839 | -$1,791 | $2,083 | $1,209 | $361 | ||
| 0% | $36 | $36 | $36 | $36 | $36 | $36 | ||
| 30% | -$645 | $3,910 | $1,863 | -$2,011 | -$1,137 | -$254 | ||
| Range | $1,361 | $7,749 | $3,655 | $4,095 | $2,346 | $615 | ||
| Tornado Diagrams | ||||||||
| Tornado diagrams are another way to present results from sensitivity analysis. The first step is to rank the range of possible NPV's for each of the input variables that is being changed. In our example, the range for sales price/unit is the largest and the range for WACC is the smallest. The ranges for each variable are then plotted, with the largest range on top and the smallest range on the bottom. It is helpful to also plot a vertical line showing the base-case NPV. We present a tornado diagram in Figure 11-4. Notice that the diagram is like a tornado in that it is widest at the top and smallest at the bottom, hence its name. The tornado diagram makes it immediately obvious which inputs have the biggest impact on NPV. | ||||||||
| Additional data for Tornado Diagram | ||||||||
| Scratch for Tornado Diagram Below | ||||||||
| Rank of Range of NPV from Sensitivity Table Above | ||||||||
| Equipment | Price | Units | VC/Unit | Non-VC | WACC | Base NPV = | Y-axis | |
| Rank | 2 | 6 | 4 | 5 | 3 | 1 | $36 | 8 |
| For diagram below | 2 | 6 | 4 | 5 | 3 | 1 | 36 | 6 |
| 2 | 6 | 4 | 5 | 3 | 1 | 36 | 1 | |
| Figure 11-4. Tornado Diagram for Solar Water Heater Project: Range of Outcomes for Input Deviations from Base-Case (Dollars in Thousands) | ||||||||
| NPV Breakeven Analysis | ||||||||
| In breakeven analysis, we find the value of the input variable that produes a zero NPV. It is easiest to do this with Goal Seek. For example, the screen shot below shows the Goal Seek inputs we used to set the cell for NPV to a value of zero by changing the cell for the sales price. We repeated this for the other inputs. | ||||||||
| Table 11-1. NPV Breakeven Analysis (Dollars in Thousands) | ||||||||
| Input | Input Value that Produces Zero NPV | |||||||
| Sales price per unit, Year 1 | $11.57 | |||||||
| Variable cost per unit (VC), Year 1 | $6.03 | |||||||
| Annual change in units sold, after Year 1 | 3.58% | |||||||
| Units sold, Year 1 | 547 | |||||||
| Nonvariable cost (Non-VC), Year 1 | $2,018 | |||||||
| Project WACC | 10.35% | |||||||
| Data Tables: Multiple Outputs for a Single Input | ||||||||
| Data tables can easily be extended to show multiple outputs for a single input. Simply add an additional column with a cell reference to the desired additional output. Highlight the specified values for the input and highlight all the columns for the output as we show shaded in gray below (be sure to also highlight the cell references above the outputs). Then use the Data, Tables, and set "Column input" to the cell refernce of the desired input. | ||||||||
| Example: NPV and IRR for Changes in Sales Price | ||||||||
| % Deviation | SALES PRICE | |||||||
| from | Sales | NPV | IRR | |||||
| Base Case | Price | $36 | 10.4% | |||||
| -30% | $8.12 | -$3,839 | -45.0% | |||||
| -15% | $9.86 | -$1,901 | -11.3% | |||||
| 0% | $11.60 | $36 | 10.4% | |||||
| 15% | $13.34 | $1,973 | 27.8% | |||||
| 30% | $15.08 | $3,910 | 42.8% | |||||
| Two-Way Data Tables: Two Inputs and One Output | ||||||||
| Data tables can also be extended to show the output given two inputs. Put one set of input variables in the left-most column of the data table (shown in a red font below) and the other set of inputs in the top row of the data table (shown in white font); put the cell reference to the output you want (like NPV) in the intersection of the row and column for inputs (we show this in a pale green font). Highlight the range that includes the specified values for the inputs, as shown in the gray shaded region below (this will also highlight the cell reference for the output). Then use the Data, Tables, and set "Row input" to the cell reference for the inputs shown in the table's row E19 for units sold) and set "Column input" to the cell refernce for the input shown in the table's column E21 for sales price). | ||||||||
| Example: NPV for Changes in Sales Price and Units Sold | ||||||||
| % Deviation from Base Case | ||||||||
| -30% | -15% | 0% | 15% | 30% | ||||
| % Deviation from | NPV cell reference | Units Sold | ||||||
| Base Case | $36 | 385 | 468 | 550 | 633 | 715 | ||
| -30% | Sales Price | $8.12 | -$4,504 | -$4,171 | -$3,839 | -$3,506 | -$3,174 | |
| -15% | $9.86 | -$3,148 | -$2,525 | -$1,901 | -$1,278 | -$655 | ||
| 0% | $11.60 | -$1,791 | -$878 | $36 | $949 | $1,863 | ||
| 15% | $13.34 | -$435 | $769 | $1,973 | $3,177 | $4,382 | ||
| 30% | $15.08 | $921 | $2,416 | $3,910 | $5,405 | $6,900 | ||
-0.3 0 0.3 -3838.7448808082895 35.836539226936111 3910.4179592621649 Units
-0.3 0 0.3 -1791.4880445614981 35.836539226936111 1863.1611230153703 VC/Unit
-0.3 0 0.3 2083.0933754737289 35.83 6539226936111 -2011.4202970198558 Non-VC
-0.3 0 0.3 1208.9157551274893 35.836539226936111 -1137.2426766736166 Equipment
-0.3 0 0.3 716.21367193644983 35.836539226936111 -644.54059348257761 WACC
-0.3 0 0.3 360.566849929417 35.836539226936111 -253.98814890681342
% Deviation from Base
NPV ($)
Price
-3838.7448808082895 35.836539226936111 3910.4179592621649 6 6 6 Units
-1791.4880445614981 35.836539226936111 1863.1611230153703 4 4 4 VC/Unit
2083.0933754737289 35.836539226936111 -2011.4202970198558 5 5 5 Non-VC
1208.9157551274893 35.836539226 936111 -1137.2426766736166 3 3 3 Equipment
716.21367193644983 35.836539226936111 -644.54059348257761 2 2 2 WACC
360.566849929417 35.836539226936111 -253.98814890681342 1 1 1 Base NPV =
35.836539226936111 35.836539226936111 35.836539226936111 8 6 1
NPV
1
2
3
1
2
4
3
3
3. Scen.
| ERROR:#REF! | ||||||||||||||||||||||||||||
| Section 11.6 Scenario Analysis | ||||||||||||||||||||||||||||
| Tab 3 extends the basic model (shown in Tab 1) to include scenario analysis. On this tab we modify the Tab 1 Basic Model in several ways (but note that only the accelerated depreciation case is analyzed here). | ||||||||||||||||||||||||||||
| We add worst-case and best-case scenarios, including the probability that each scenario will occur, as shown below in Figure 11-5. Management determined that some of the inputs were not likely to stray far from the base-case levels, and the NPV was not terribly sensitive to them anyway, so in our analysis we change only 6 inputs: equipment cost, units sold in Year 1, annual change in units sold after Year 1, sales price per unit, variable cost per unit, nonvariable cost, and the tax rate. Management gathered advice from experts in their marketing, operations, logistics, HR, accounting, and finance departments for the probability of each scenario and the values to use for the worst-case and best-case scenarios. | ||||||||||||||||||||||||||||
| We show these base-case, worst-case, and best-case value in the input columns for scenarios in Figure 11-5 below, identified by the cells with larger, non-black fonts. If you change any input for any scenario, the key results shown immediately below the input column will be updated, but our analysis focuses only on the 7 critical inputs determined by management. | ||||||||||||||||||||||||||||
| If you change an input for the Base-Case scenario in Column E below, it will make changes in the analysis section for the Base-Case shown below Figure 11-5. If you make a change in the inputs for the Worst-Case scenario (in Column G below), it will make changes in the analysis section for the Worst-Case shown in yellow to the right and below Figure 11-5. Similarly, if you make make a change in the inputs for the Best-Case scenario (in Column I below), it will make changes in the analysis section for the Best-Case shown in green to the right and below Figure 11-5. | ||||||||||||||||||||||||||||
| Analysis for Worst and Best Scenarios in yellow and green boxes below and to the right. | ||||||||||||||||||||||||||||
| Figure 11-5. Inputs and Key Results for Each Scenario (Dollars in Thousands) | ||||||||||||||||||||||||||||
| Don’t change any values in the yellow box below. If you want to change an input, do it in Column G to the left. | Don’t change any values in the green box below. If you want to change an input, do it in Column I to the left. | |||||||||||||||||||||||||||
| Scenarios: | Worst-Case Scenario | Best-Case Scenario | ||||||||||||||||||||||||||
| Inputs: | Base | Worst | Best | Inputs | Worst | Inputs | Best | |||||||||||||||||||||
| Probability of Scenario | 50% | 25% | 25% | |||||||||||||||||||||||||
| Equipment cost | $3,400 | $4,250 | $2,550 | Equipment cost | $4,250 | Equipment cost | $2,550 | |||||||||||||||||||||
| Salvage value, equipment, Year 4 | $300 | $300 | $300 | Salvage value, equipment, Year 4 | $300 | Salvage value, equipment, Year 4 | $300 | |||||||||||||||||||||
| Opportunity cost | $0 | $0 | $0 | Opportunity cost | $0 | Opportunity cost | $0 | |||||||||||||||||||||
| Externalities (cannibalization) | $0 | $0 | $0 | Externalities (cannibalization) | $0 | Externalities (cannibalization) | $0 | |||||||||||||||||||||
| Units sold, Year 1 | 550 | 412 | 688 | Units sold, Year 1 | 412 | Units sold, Year 1 | 688 | |||||||||||||||||||||
| Annual change in units sold, after Year 1 | 4.00% | -6.00% | 14.00% | Annual change in units sold, after Year 1 | -6.00% | Annual change in units sold, after Year 1 | 14.00% | |||||||||||||||||||||
| Sales price per unit, Year 1 | $11.60 | $8.70 | $14.50 | Sales price per unit, Year 1 | $8.70 | Sales price per unit, Year 1 | $14.50 | |||||||||||||||||||||
| Annual change in sales price, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in sales price, after Year 1 | 2.00% | Annual change in sales price, after Year 1 | 2.00% | |||||||||||||||||||||
| Variable cost per unit (VC), Year 1 | $6.00 | $7.50 | $4.50 | Variable cost per unit (VC), Year 1 | $7.50 | Variable cost per unit (VC), Year 1 | $4.50 | |||||||||||||||||||||
| Annual change in VC, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in VC, after Year 1 | 2.00% | Annual change in VC, after Year 1 | 2.00% | |||||||||||||||||||||
| Nonvariable cost (Non-VC), Year 1 | $2,000 | $2,500 | $1,500 | Nonvariable cost (Non-VC), Year 1 | $2,500 | Nonvariable cost (Non-VC), Year 1 | $1,500 | |||||||||||||||||||||
| Annual change in Non-VC, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in Non-VC, after Year 1 | 2.00% | Annual change in Non-VC, after Year 1 | 2.00% | |||||||||||||||||||||
| Project WACC | 10.00% | 10.00% | 10.00% | Project WACC | 10.00% | Project WACC | 10.00% | |||||||||||||||||||||
| Tax rate | 40.00% | 50.00% | 30.00% | Tax rate | 50.00% | Tax rate | 30.00% | |||||||||||||||||||||
| Working capital as % of next year's sales | 12.65% | 12.65% | 12.65% | Working capital as % of next year's sales | 12.65% | Working capital as % of next year's sales | 12.65% | |||||||||||||||||||||
| Key Results: | Base | Worst | Best | Key Results: | Worst | Key Results: | Best | |||||||||||||||||||||
| NPV | $36 | -$5,847 | $13,379 | NPV | -$5,847 | NPV | $13,379 | |||||||||||||||||||||
| IRR | 10.35% | Not found | 112.01% | IRR | Not found | IRR | 112.01% | |||||||||||||||||||||
| MIRR | 10.23% | -100.00% | 60.30% | MIRR | -100.00% | MIRR | 60.30% | |||||||||||||||||||||
| PI | 1.01 | -0.24 | 4.51 | PI | -0.24 | PI | 4.51 | |||||||||||||||||||||
| Payback | 3.41 | Not found | 1.00 | Payback | Not found | Payback | 1.00 | |||||||||||||||||||||
| Discounted payback | 3.98 | Not found | 1.09 | Discounted payback | Not found | Discounted payback | 1.09 | |||||||||||||||||||||
| Analysis for Base-Case Scenario shown in blue box below. | ||||||||||||||||||||||||||||
| Base | Worst-Case Scenario | Best-Case Scenario | ||||||||||||||||||||||||||
| Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | |||||||||||
| Unit sales | 550 | 572 | 595 | 619 | Unit sales | 412 | 387 | 364 | 342 | Unit sales | 688 | 784 | 894 | 1,019 | ||||||||||||||
| Sales price per unit | $11.60 | $11.83 | $12.07 | $12.31 | Sales price per unit | $8.70 | $8.87 | $9.05 | $9.23 | Sales price per unit | $14.50 | $14.79 | $15.09 | $15.39 | ||||||||||||||
| Variable cost per unit | $6.00 | $6.12 | $6.24 | $6.37 | Variable cost per unit | $7.50 | $7.65 | $7.80 | $7.96 | Variable cost per unit | $4.50 | $4.59 | $4.68 | $4.78 | ||||||||||||||
| Nonvariable costs (excluding depreciation) | $2,000 | $2,040 | $2,081 | $2,122 | Nonvariable costs (excluding depreciation) | $2,500 | $2,550 | $2,601 | $2,653 | Nonvariable costs (excluding depreciation) | $1,500 | $1,530 | $1,561 | $1,592 | ||||||||||||||
| Cash Flows At End of Year | Cash Flows At End of Year | Cash Flows At End of Year | ||||||||||||||||||||||||||
| Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | |||||||||||
| Equipment | -$3,400 | Equipment | -$4,250 | Equipment | -$2,550 | |||||||||||||||||||||||
| Initial investment in working capital | -807 | Initial investment in working capital | -453 | Initial investment in working capital | -1,262 | |||||||||||||||||||||||
| Opportunity cost, after taxes | 0 | Opportunity cost, after taxes | 0 | Opportunity cost, after taxes | 0 | |||||||||||||||||||||||
| Net Cash Flows Over the Project's Life | Net Cash Flows Over the Project's Life | Net Cash Flows Over the Project's Life | ||||||||||||||||||||||||||
| Sales revenues = Units × Price/unit | $6,380 | $6,768 | $7,179 | $7,616 | Sales revenues = Units × Price/unit | $3,584 | $3,437 | $3,295 | $3,159 | Sales revenues = Units × Price/unit | $9,976 | $11,600 | $13,489 | $15,685 | ||||||||||||||
| Variable costs = Units × Cost/unit | 3,300 | 3,501 | 3,713 | 3,939 | Variable costs = Units × Cost/unit | 3,090 | 2,963 | 2,841 | 2,724 | Variable costs = Units × Cost/unit | 3,096 | 3,600 | 4,186 | 4,868 | ||||||||||||||
| Nonvariable costs (excluding depreciation) | 2,000 | 2,040 | 2,081 | 2,122 | Nonvariable costs (excluding depreciation) | 2,500 | 2,550 | 2,601 | 2,653 | Nonvariable costs (excluding depreciation) | 1,500 | 1,530 | 1,561 | 1,592 | ||||||||||||||
| Depreciation: Accelerated, from table below | 1,122 | 1,530 | 510 | 238 | Depreciation: Accelerated, from table below | 1,403 | 1,913 | 638 | 298 | Depreciation: Accelerated, from table below | 842 | 1,148 | 383 | 179 | ||||||||||||||
| Operating profit (EBIT) | -$42 | -$303 | $875 | $1,316 | Operating profit (EBIT) | -$3,408 | -$3,988 | -$2,784 | -$2,515 | Operating profit (EBIT) | $4,539 | $5,323 | $7,359 | $9,047 | ||||||||||||||
| Taxes on operating profit | -17 | -121 | 350 | 526 | Taxes on operating profit | -1,704 | -1,994 | -1,392 | -1,257 | Taxes on operating profit | 1,362 | 1,597 | 2,208 | 2,714 | ||||||||||||||
| Net operating profit after taxes | -$25 | -$182 | $525 | $790 | Net operating profit after taxes | -$1,704 | -$1,994 | -$1,392 | -$1,257 | Net operating profit after taxes | $3,177 | $3,726 | $5,152 | $6,333 | ||||||||||||||
| Add back depreciation | 1,122 | 1,530 | 510 | 238 | Add back depreciation | 1,403 | 1,913 | 638 | 298 | Add back depreciation | 842 | 1,148 | 383 | 179 | ||||||||||||||
| Opportunity cost, after taxes | 0 | 0 | 0 | 0 | Opportunity cost, after taxes | 0 | 0 | 0 | 0 | Opportunity cost, after taxes | 0 | 0 | 0 | 0 | ||||||||||||||
| Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | ||||||||||||||
| Salvage value (taxed as ordinary income) | 300 | Salvage value (taxed as ordinary income) | 300 | Salvage value (taxed as ordinary income) | 300 | |||||||||||||||||||||||
| Tax on salvage value (SV is taxed at 40%) | -120 | Tax on salvage value (SV is taxed at 40%) | -150 | Tax on salvage value (SV is taxed at 40%) | -90 | |||||||||||||||||||||||
| Change in WC: Outflow (–) or recovery (+) | -49 | -52 | -55 | 963 | Change in WC: Outflow (–) or recovery (+) | 19 | 18 | 17 | 400 | Change in WC: Outflow (–) or recovery (+) | -205 | -239 | -278 | 1,984 | ||||||||||||||
| Project net cash flows: Time Line | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | Project net cash flows: Time Line | -$4,703 | -$283 | -$64 | -$737 | -$410 | Project net cash flows: Time Line | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | |||||||||||
| Project Evaluation | Project Evaluation | Project Evaluation | ||||||||||||||||||||||||||
| Results | Results | Results | ||||||||||||||||||||||||||
| NPV | $36 | NPV | -$5,847 | NPV | $13,379 | |||||||||||||||||||||||
| IRR | 10.35% | IRR | ERROR:#NUM! | IRR | 112.01% | |||||||||||||||||||||||
| MIRR | 10.23% | MIRR | -100.00% | MIRR | 60.30% | |||||||||||||||||||||||
| Profitability index | 1.01 | Profitability index | -0.24 | Profitability index | 4.51 | |||||||||||||||||||||||
| Payback | 3.41 | Payback | ERROR:#N/A | Payback | 1.00 | |||||||||||||||||||||||
| Discounted payback | 3.98 | Discounted payback | ERROR:#N/A | Discounted payback | 1.09 | |||||||||||||||||||||||
| Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | ||||||||
| Cumulative cash flows for payback | -$4,207 | -$3,159 | -$1,863 | -$883 | $1,288 | Cumulative cash flows for payback | -$4,703 | -$4,986 | -$5,050 | -$5,787 | -$6,198 | Cumulative cash flows for payback | -$3,812 | $1 | $4,635 | $9,892 | $18,597 | |||||||||||
| Discounted cash flows for disc. payback | -$4,207 | $952 | $1,071 | $736 | $1,483 | Discounted cash flows for disc. payback | -$4,703 | -$257 | -$53 | -$554 | -$280 | Discounted cash flows for disc. payback | -$3,812 | $3,466 | $3,830 | $3,949 | $5,946 | |||||||||||
| Cumulative discounted cash flows | -$4,207 | -$3,255 | -$2,183 | -$1,447 | $36 | Cumulative discounted cash flows | -$4,703 | -$4,961 | -$5,013 | -$5,567 | -$5,847 | Cumulative discounted cash flows | -$3,812 | -$346 | $3,484 | $7,434 | $13,379 | |||||||||||
| Accelerated Depreciation | Accelerated Depreciation | Accelerated Depreciation | ||||||||||||||||||||||||||
| Depreciable basis: | $3,400 | Rate/year | 33% | 45% | 15% | 7% | Depreciable basis: | $4,250 | Rate/year | 33% | 45% | 15% | 7% | Depreciable basis: | $2,550 | Rate/year | 33% | 45% | 15% | 7% | ||||||||
| Dollars/year | $1,122 | $1,530 | $510 | $238 | Dollars/year | $1,403 | $1,913 | $638 | $298 | Dollars/year | $842 | $1,148 | $383 | $179 | ||||||||||||||
| Scenario analysis extends risk analysis in two ways: (1) It allows us to change more than one variable at a time, hence to see the combined effects of changes in several variables on NPV, and (2) It allows us to bring in the probabilities of changes in the key variables. | ||||||||||||||||||||||||||||
| Figure 11.6 (shown below) presents the cash flows for each scenario (the cash flows are obtained from the 3 scenarios' analsyes conducted above in the blue, bright yellow, and green boxes). It also shows the NPV for each scenario. Using the NPV and probability for each scenario, we calculate the expected NPV, the standard deviation, and the coefficient of variation. Later in the analysis we consider the possibility of abandoning the project if the worst case occurs, but our present analysis assumes that we cannot abandon the project. | ||||||||||||||||||||||||||||
| Note: the scenario analysis below is meaningful only if the values in the input section in Cells E37:E51 are set to the original base-case. | ||||||||||||||||||||||||||||
| Figure 11-6. Scenario Analysis: Expected NPV and Its Risk (Dollars in Thousands) | ||||||||||||||||||||||||||||
| Predicted Cash Flows for Alternative Scenarios | Calculating σ step-by-step | Quick NPV and s | ||||||||||||||||||||||||||
| Prob: | 0 | 1 | 2 | 3 | 4 | WACC | NPV | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||||||
| Best | 25% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | 10.00% | $13,379 | 11478 | 131755642 | $32,938,910 | |||||||||||||||||
| Base | 50% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | 10.00% | $36 | -1865 | 3478447 | $1,739,224 | |||||||||||||||||
| Worst | ||||||||||||||||||||||||||||
| 25% | -$4,703 | -$283 | -$64 | -$737 | -$410 | 10.00% | -$5,847 | -7748 | 60037190 | $15,009,298 | ||||||||||||||||||
| Expected NPV = | $1,901 | Variance = | $49,687,432 | $1,901 | =Expected NPV | |||||||||||||||||||||||
| Standard Deviation (SD) = | $7,049 | σ = | $7,049 | $7,049 | = Standard Deviation (SD) | |||||||||||||||||||||||
| Coefficient of Variation (CV) = Std. Dev./Expected NPV = | 3.71 | |||||||||||||||||||||||||||
| Scratch work for chart | ||||||||||||||||||||||||||||
| Worst-Case | ||||||||||||||||||||||||||||
| -$5,847 | 25% | |||||||||||||||||||||||||||
| -$5,847 | 0% | |||||||||||||||||||||||||||
| Most-Likely | ||||||||||||||||||||||||||||
| $36 | 50% | |||||||||||||||||||||||||||
| $36 | 0% | |||||||||||||||||||||||||||
| Best-Case | ||||||||||||||||||||||||||||
| $13,379 | 25% | |||||||||||||||||||||||||||
| $13,379 | 0% | |||||||||||||||||||||||||||
| Expected NPV | ||||||||||||||||||||||||||||
| $1,901 | 0% | |||||||||||||||||||||||||||
| $1,901 | -15% | |||||||||||||||||||||||||||
| Scenario Manager | ||||||||||||||||||||||||||||
| Rather than have 3 sets of analyses, it is possible to have only one set and use the Excel feature called Scenario Manager. (To open the Scenario Manager dialog box in Excel 2003, select Tools, Scenarios; in Excel 2007, select Data, What-if-Analysis, then Scenarios.) If you open the Scenario Manager dialog box, you see the box shown below: | ||||||||||||||||||||||||||||
| You can select a scenario, click "Show", and the values for that scenario will be substituted into the input cells in Column E (E35:E51). So if we had not repeated the analysis in Columns K through AC, Scenario Manager makes it easy to show any set of inputs in a single model for analysis. Scenario Manager also makes it easy to create a summary of all scenarios using the Summary feature in the dialog box shown above. For example, if you select Summary, you will see the box below: | ||||||||||||||||||||||||||||
| We selected the cells with key results, E53:E58. When you click OK, the output of the summary will be created in a new worksheet; this new worksheet is "8. Scenario Summary". It provides the same key results as the three separate analyses did, but you need only to create one analysis with multiple sets of inputs saved as scenarios. We encourgage you to explore the Scenaro Manager feature in our Excel Tutorial. | ||||||||||||||||||||||||||||
| Figure 11-6. Scenario Analysis: Can Abandon | ||||||||||||||||||||||||||||
| Predicted Cash Flows for Alternative Scenarios | Calculating σ step-by-step | |||||||||||||||||||||||||||
| Prob: | 0 | 1 | 2 | 3 | 4 | WACC | NPV | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||||||
| Best | 25% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | 10.00% | $13,379 | $11,153 | 124,399,616 | 31,099,904 | |||||||||||||||||
| Base | 50% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | 10.00% | $36 | -$2,190 | 4,796,486 | 2,398,243 | |||||||||||||||||
| Worst | -$4,703 | -$283 | -$64 | -$737 | -$410 | |||||||||||||||||||||||
| 25% | ||||||||||||||||||||||||||||
| -$4,703 | -$283 | $500 | $0 | $0 | 10.00% | -$4,547 | -$6,773 | 45,877,342 | 11,469,336 | |||||||||||||||||||
| If abandon, can liquidate for $500 at t = 2. | Expected NPV = | $2,226 | Variance = | 44,967,482 | ||||||||||||||||||||||||
| Standard Deviation (SD) = | $6,706 | σ = | $6,706 | |||||||||||||||||||||||||
| Coefficient of Variation (CV) = Std. Dev./Expected NPV = | 3.01 | |||||||||||||||||||||||||||
| Figure 11-7. Decision Tree with Multiple Decision Points | ||||||||||||||||||||||||||||
| Firm can abandon the project at t = 2 | WACC = | 10.0% | ||||||||||||||||||||||||||
| Time Periods, Cash Flows, Probabilities, and Decision Points | WACC = | 10.0% | ||||||||||||||||||||||||||
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | WACC = | 10.0% | Product: NPV | Calculating σ step-by-step | ||||||||||||||||||
| 1st Invest | Prob. | 2nd Invest | Prob. | 3rd Invest | Inflow | Inflow | Inflow | Inflow | NPV | Joint Prob | x Joint Prob | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||
| 45% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | $10,503 | 36% | $3,781 | $255 | 64782 | $23,321 | |||||||||||||||||
| 80% | -$500 | 40% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | -$525 | 32% | -$168 | -3694 | 13649041 | 4367693.00407027 | |||||||||||||||
| -$100 | 15% | Stop | $0 | $0 | $0 | $0 | -$555 | 12% | -$67 | -$3,593 | 12909858 | $1,549,183 | ||||||||||||||||
| 20% | Stop | $0 | $0 | $0 | $0 | $0 | -$100 | 20% | -$20 | -3546 | 12577547 | 2515509 | ||||||||||||||||
| Expected NPV = | $3,526 | Sum = variance | 8455707 | |||||||||||||||||||||||||
| Standard Deviation (SD) = | $2,908 | Sq root of Var = σ | $2,908 | |||||||||||||||||||||||||
| Coefficient of Variation (CV) = Std. Dev./Expected NPV = | 0.82 | |||||||||||||||||||||||||||
1
Probability Distribution of Scenarios: Outcomes and Probabilities
Worst-Case
-5847.4708240748023 -5847.4708240748023 0.25 0 Most-Likely
35.836539226936111 35.836539226936111 0.5 0 Best-Case
13379.382149246569 13379.382149246569 0.25 0 Expected NPV
1900.8961009064096 1900.8961009064096 0 -0.15
NPV
1
2
1
2
3
3
3
2
4. Sim.
| ERROR:#REF! | |||||||||||||||||
| Section 11.7 Scenario Analysis | |||||||||||||||||
| Note: this section is relatively technical and some instructors may choose to skip it with no loss in continuity. | |||||||||||||||||
| Monte Carlo simulation is similar to scenario analysis in that different values of key inputs are used. Unlike scenario analysis, Monte Carlo simulation draws a trial set of input values from specified probability distributions and then computes the NPV for this trial. This process is repeated for hundreds, or even thousands, of trials, with key results (like NPV) saved from each trial. After running the number of desired trials, the NPVs from the trials can be averaged to estimate the project's expected NPV; the trial results can also be used to provide a histogram showing the project's possible outcomes. | |||||||||||||||||
| Panel A, shown in the blue-bordered box below and slightly to the right, shows the inputs from the previous scenario analysis. It also shows the expected value and standard deviation for those inputs based on the probability of each scenario. To compare apples and apples, we will assume that the inputs for the simulation analysis are drawn from a normal distribution with the same expected value and standard deviation as the inputs from the scenario analysis (these are shown Figure 11-7 in blue in Columns C and D below. However, any of the the blue values in Columns C and D may be changed by the user if desired. Cell D53 also has the input for the assumed correlation between units sold in Year 1 and changes in units sold in later years. | |||||||||||||||||
| Fgirue 11-7, shown in the box below, also shows the trial inputs and key results. The inputs are shown in red and are drawn from a normal distribution with the mean and standard deviation specified in Columns C and D. We do this in a 2-step process. Column E shows a standard normal random variable created with Excel's random number generator. Column F transforms the standard normal random variable into a normal random variable with the desired mean and standard deviation. To see updated values,hit the F9 key. | |||||||||||||||||
| Figure 11-7: Inputs and Key Results for the Current Simulation Trial (Dollars in Thousands) | Panel A: Values from Scenario Analysis and Their Expected Values and Standard Deviations | ||||||||||||||||
| To change an input, change one of the blue values in Columns C or D. To see an updated set of trial values, hit the F9 key. Inputs and key results will update for the current trial. | |||||||||||||||||
| Inputs for Simulation Probability Distributions | Random Variables Used in Current Simulation Trial | Inputs from Scenario Analysis for Comparison to Simulation | |||||||||||||||
| Expected Value of Input | Standard Deviation of Input | Standard Normal Random Variable Mike Ehrhardt: The RAND() function generates a random number between 0 and 1. When this value is the argument in the NORMSINV function, the NORMSINV interprets the value as the cumulative probability of a standard normal distribution. Then the NORMSINV function finds a standard normal variable Z such that its the probability of drawing a value of Z or less is equal to the argument. This means the formula =NORMSINV(RAND()) returns a random standard normal variable. | Value used in Current Trial | Base | Worst | Best | Expected Value of Input | Standard Deviation of Input | |||||||||
| Probability of Scenario | |||||||||||||||||
| 50% | 25% | 25% | |||||||||||||||
| Inputs: | |||||||||||||||||
| Equipment cost | $3,400 | $601 | -0.69 | $2,987 | $3,400 | $4,250 | $2,550 | $3,400 | $601 | ||||||||
| Salvage value, equipment, Year 4 | $300 | $300 | $300 | $300 | |||||||||||||
| Opportunity cost | $0 | $0 | $0 | $0 | |||||||||||||
| Externalities (cannibalization) | $0 | $0 | $0 | $0 | |||||||||||||
| Units sold, Year 1 | 550 | 98 | 0.50 | 599 | 550 | 412 | 688 | 550 | 98 | ||||||||
| Annual change in units sold, after Year 1 | 4.00% | 7.07% | -0.13 Mike Ehrhardt: We must use a slightly different formula to get a standard normal for the annual change in units that is correlated with the unit sales in the first year. We do that by forming a variable that is a combination of the standard normal variable for units in the 1st year and an uncorrelated standard normal, with the "weights" in the combination depending on the desired correlation. | 3.08% | 4.00% | -6.00% | 14.00% | 4.00% | 7.07% | ||||||||
| Sales price per unit, Year 1 | $11.60 | $2.05 | -0.05 | $11.51 | $11.60 | $8.70 | $14.50 | $11.60 | $2.05 | ||||||||
| Annual change in sales price, after Year 1 | 2.00% | 2.00% | 2.00% | 2.00% | |||||||||||||
| Variable cost per unit (VC), Year 1 | $6.00 | $1.06 | 1.33 | $7.41 | $6.00 | $7.50 | $4.50 | $6.00 | $1.06 | ||||||||
| Annual change in VC, after Year 1 | 2.00% | 2.00% | 2.00% | 2.00% | |||||||||||||
| Nonvariable cost (Non-VC), Year 1 | $2,000 | $354 | 0.38 | $2,136 | $2,000 | $2,500 | $1,500 | $2,000 | $354 | ||||||||
| Annual change in Non-VC, after Year 1 | 2.00% | 2.00% | 2.00% | 2.00% | |||||||||||||
| Project WACC | 10.00% | 10.00% | 10.00% | 10.00% | |||||||||||||
| Tax rate | 40.00% | 7.07% | -0.20 | 38.60% | 40.00% | 50.00% | 30.00% | 40.00% | 7.07% | ||||||||
| Working capital as % of next year's sales | 12.65% | 12.65% | 12.65% | 12.65% | |||||||||||||
| Assumed correlation between units sold in Year 1 and annual change in units sold in later years: | |||||||||||||||||
| r = | 65.00% | ||||||||||||||||
| Key Results Based on Current Trial | Key Results | ||||||||||||||||
| Base | Worst | Best | |||||||||||||||
| NPV | -$1,342 | $36 | -$5,847 | $13,379 | |||||||||||||
| IRR | -4.95% | 10.35% | Not found | 112.01% | |||||||||||||
| MIRR | -1.14% | 10.23% | -100.00% | 60.30% | |||||||||||||
| PI | 0.65 | 1.01 | -0.24 | 4.51 | |||||||||||||
| Payback | Not found | 3.41 | Not found | 1.00 | |||||||||||||
| Discounted payback | Not found | 3.98 | Not found | 1.09 | |||||||||||||
| Panel B: Project Analysis for Current Trial in Simulation | |||||||||||||||||
| Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | ||||||||||||
| Unit sales | 599 | 617 | 636 | 656 | |||||||||||||
| Sales price per unit | $11.51 | $11.74 | $11.97 | $12.21 | |||||||||||||
| Variable cost per unit | $7.41 | $7.55 | $7.71 | $7.86 | |||||||||||||
| Nonvariable costs (excluding depreciation) | $2,136 | $2,179 | $2,223 | $2,267 | |||||||||||||
| Cash Flows At End of Year | |||||||||||||||||
| Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | ||||||||||||
| Equipment | -$2,987 | ||||||||||||||||
| Initial investment in working capital | -872 | ||||||||||||||||
| Opportunity cost, after taxes | 0 | ||||||||||||||||
| Net Cash Flows Over the Project's Life | |||||||||||||||||
| Sales revenues = Units × Price/unit | $6,891 | $7,245 | $7,617 | $8,009 | |||||||||||||
| Variable costs = Units × Cost/unit | 4,435 | 4,663 | 4,902 | 5,154 | |||||||||||||
| Nonvariable costs (excluding depreciation) | 2,136 | 2,179 | 2,223 | 2,267 | |||||||||||||
| Depreciation: Accelerated, from table below | 986 | 1,344 | 448 | 209 | |||||||||||||
| Operating profit (EBIT) | -$666 | -$941 | $44 | $378 | |||||||||||||
| Taxes on operating profit | -257 | -363 | 17 | 146 | |||||||||||||
| Net operating profit after taxes | -$409 | -$578 | $27 | $232 | |||||||||||||
| Add back depreciation | 986 | 1,344 | 448 | 209 | |||||||||||||
| Opportunity cost, after taxes | 0 | 0 | 0 | 0 | |||||||||||||
| Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | |||||||||||||
| Salvage value (taxed as ordinary income) | 300 | ||||||||||||||||
| Tax on salvage value (SV is taxed at 40%) | -116 | ||||||||||||||||
| Change in WC: Outflow (–) or recovery (+) | -45 | -47 | -50 | 1,013 | |||||||||||||
| Project net cash flows: Time Line | -$3,858 | $532 | $719 | $426 | $1,639 | ||||||||||||
| Project Evaluation | |||||||||||||||||
| Results | |||||||||||||||||
| NPV | -$1,342 | ||||||||||||||||
| IRR | -4.95% | ||||||||||||||||
| MIRR | -1.14% | ||||||||||||||||
| Profitability index | 0.65 | ||||||||||||||||
| Payback | ERROR:#N/A | ||||||||||||||||
| Discounted payback | ERROR:#N/A | ||||||||||||||||
| Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | |||||||||||
| Cumulative cash flows for payback | -$3,858 | -$3,326 | -$2,607 | -$2,182 | -$543 | ||||||||||||
| Discounted cash flows for disc. payback | -$3,858 | $483 | $594 | $320 | $1,119 | ||||||||||||
| Cumulative discounted cash flows | -$3,858 | -$3,375 | -$2,780 | -$2,461 | -$1,342 | ||||||||||||
| Accelerated Depreciation | |||||||||||||||||
| Depreciable basis: | $2,987 | Rate/year | 33% | 45% | 15% | 7% | |||||||||||
| Dollars/year | $986 | $1,344 | $448 | $209 | |||||||||||||
| How the Simulation Works | |||||||||||||||||
| We use a Data Table to perform the simulation (the Data Table is below shaded in lavender). When the Data Table is updated, it will insert new random variables for each of the inputs we allow to change in Figure 11-7 above, run the analysis in Panel B above, and then save the NPV for each trial. (We also save the input variables for each trial so that we can verify that they are behaving as we expect.) We set the first column of the Data Table (the variable to be changed in each row) to numbers from 1-100. We don't really use these numbers anywhere in the analyis, but if we tell the Data Table to treat these as the Column inputs, Excel will recalculate all items in the Data Table, including the random inputs and the resulting NPV. In other words, we "trick" Excel into doing a simulation. We tell Excel to insert each of the Column inputs in the Data Table into the cell immediately below this box. This cell isn't linked to anything else, but each time Excel updates a row of the Data Table, all the random values will be updated. | |||||||||||||||||
| Column input cell to "trick" Excel into updating random variables in Data Table: | 1 Mike Ehrhardt: Do not delete or change this cell or row. | Don't change the the red cell. | |||||||||||||||
| Excel normally updates all values in a Data Table each time any cell that is related to the Data Table changes. In our case, we have random variables in the Data Table, so each time any cell in the worksheet makes a calculation, the Data Table is updated. If the Data Table has many rows, updating it can take up to 20 or 30 seconds. This is ok when we want to update the Table, but it is annoying to wait 30 seconds any time we make any changes in the worksheet. The "check box" explained below helps with this annoyance. | |||||||||||||||||
| To put random variables in the Data Table for the simulation, the box shown below must be checked; otherwise, the Data Table contains only zero's and doesn't update when the sheet makes a calculation (other than the first time you check this box or if you insert or delete rows or columns). If the box is unchecked and you check it, the check mark won't show up until the Table is updated, so don't get impatient and click it twice. After you have checked the box, the Data Table will update any time you change a cell in the worksheet. So to make the Data Table update, make sure the box is checked and then hit the F9 key. | |||||||||||||||||
| Put a check in the box below to put trials into the data table; otherwise, the data table will have only zeros. | |||||||||||||||||
| FALSE | |||||||||||||||||
| Remember to uncheck the box above when you are through with the simulation, or the Data Table will recalculate any time you make a change in the worksheet, which will slow down all other calculations in the worksheet. | |||||||||||||||||
| You don't need to change anything in this section. It will be updated automatically if you do a simulation. The summary of the simulation results and the histogram are based on the simulation trials n the Data Table below and are updated automatically when you do a simulation. | |||||||||||||||||
| Note: If results ae all zeros, go back to row 144 and "check" the box by clicking it with your cursor. | |||||||||||||||||
| Figure 11-8 Summary of Simulation Results (Thousands of Dollars) | |||||||||||||||||
| Number of Trials = | 0 | ||||||||||||||||
| Simulated Input Variables | |||||||||||||||||
| Equipment cost | Units sold, Year 1 | Annual change in units sold, after Year 1 | Sales price per unit, Year 1 | Variable cost per unit (VC), Year 1 | Nonvariable cost (Non-VC), Year 1 | Tax rate | Key Results: | ||||||||||
| NPV | |||||||||||||||||
| Average | $0 | 0 | 0.0% | $0.00 | $0.00 | $0 | 0.0% | $0 | |||||||||
| Standard deviation | 0 | 0 | 0.0% | 0.00 | 0.00 | 0 | 0.0% | $0 | |||||||||
| Maximum | 0 | 0 | 0.0% | 0.00 | 0.00 | 0 | 0.0% | $0 | |||||||||
| Minimum | 0 | 0 | 0.0% | 0.00 | 0.00 | 0 | 0.0% | $0 | |||||||||
| Correlation with unit sales | ERROR:#DIV/0! | ||||||||||||||||
| Median | $0 | ||||||||||||||||
| Probability of NPV > 0 | ERROR:#DIV/0! | ||||||||||||||||
| Coefficient of variation | ERROR:#DIV/0! | ||||||||||||||||
| Scratch work for chart: see comments. | |||||||||||||||||
| Count Mike Ehrhardt: This column counts the umber of simulation trials with NPVs greater than the bottom of range and less than top the top of the range. |
|||||||||||||||||
| Range bottom Mike Ehrhardt: This column of data contains the ranges into which the NPV's are grouped. The numbers shown are the bottoms of each range. The ranges are automatically selected so that the ranges will fit the data for the particular simulation. |
Mike Ehrhardt: The RAND() function generates a random number between 0 and 1. When this value is the argument in the NORMSINV function, the NORMSINV interprets the value as the cumulative probability of a standard normal distribution. Then the NORMSINV function finds a standard normal variable Z such that its the probability of drawing a value of Z or less is equal to the argument. This means the formula =NORMSINV(RAND()) returns a random standard normal variable. | 100 | Percent Mike Ehrhardt: This column shows the percent of trials with NPVs in the range. |
||||||||||||||
|
Mike Ehrhardt: We must use a slightly different formula to get a standard normal for the annual change in units that is correlated with the unit sales in the first year. We do that by forming a variable that is a combination of the standard normal variable for units in the 1st year and an uncorrelated standard normal, with the "weights" in the combination depending on the desired correlation. | $0 | 0 | ERROR:#DIV/0! | ||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| $0 | 0 | ERROR:#DIV/0! | |||||||||||||||
| Sum | - 0 | ERROR:#DIV/0! | |||||||||||||||
| Output of Simulation in Data Table | |||||||||||||||||
| Trial Number | Equipment cost | Units sold, Year 1 | Annual change in units sold, after Year 1 | Sales price per unit, Year 1 | Variable cost per unit (VC), Year 1 | Nonvariable cost (Non-VC), Year 1 | Tax rate | NPV | |||||||||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
NPV ($)
Probability
Must be checked to put random variable in data table for simulation
5. Replacement
| ERROR:#REF! | ||||||||||||||
| Section 11.9 Replacement Analysis | ||||||||||||||
| As this model is set up, the cost of the new machine, the salvage value of the old machine, the tax rate, the WACC, and the operating costs before depreciation for the new machine can be varied and the output will automatically recalculate. Only these input variables, in BLUE TYPE, should be changed unless you want to modify the model, which could be a fairly big job. | ||||||||||||||
| Note that the projects analyzed here are not related at all to the projects on other Tabs. | ||||||||||||||
| Figure 11-9. Replacement Analysis | ||||||||||||||
| Applies to: | ||||||||||||||
| Part I. Inputs: | Both Machines | Old Machine | New Machine | |||||||||||
| Cost of new machine | $2,000 | |||||||||||||
| After-tax salvage value old machine | $400 | |||||||||||||
| Sales revenues (fixed) | $2,500 | |||||||||||||
| Annual operating costs except depreciation | $1,200 | $280 | ||||||||||||
| Tax rate | 40% | |||||||||||||
| WACC | 10% | |||||||||||||
| Depreciation | 1 | 2 | 3 | 4 | Totals: | |||||||||
| Depr. rates (new machine) | 33% | 45% | 15% | 7% | 100% | |||||||||
| Depreciation on new machine | $660 | $900 | $300 | $140 | $2,000 | |||||||||
| Depreciation on old machine | $400 | $400 | $400 | $400 | $1,600 | |||||||||
| ∆: Change in depreciation | $260 | $500 | -$100 | -$260 | $400 | |||||||||
| Part II. Net Cash Flows Before Replacement: Old Machine | ||||||||||||||
| 0 | 1 | 2 | 3 | 4 | ||||||||||
| Sales revenues | $2,500 | $2,500 | $2,500 | $2,500 | ||||||||||
| Operating costs except depreciation | 1,200 | 1,200 | 1,200 | 1,200 | ||||||||||
| Depreciation | 400 | 400 | 400 | 400 | ||||||||||
| Total operating costs | $1,600 | $1,600 | $1,600 | $1,600 | ||||||||||
| Operating income | $900 | $900 | $900 | $900 | ||||||||||
| Taxes | 40% | 360 | 360 | 360 | 360 | |||||||||
| After-tax operating income | $540 | $540 | $540 | $540 | ||||||||||
| Add back depreciation | 400 | 400 | 400 | 400 | ||||||||||
| Net cash flows before replacement | $0 | $940 | $940 | $940 | $940 | |||||||||
| Part III. Net Cash Flows After Replacement: New Machine | ||||||||||||||
| 0 | 1 | 2 | 3 | 4 | ||||||||||
| New machine cost: | -$2,000 | |||||||||||||
| After-tax salvage value, old machine | $400 | |||||||||||||
| Sales revenues | $2,500 | $2,500 | $2,500 | $2,500 | ||||||||||
| Operating costs except depreciation | 280 | 280 | 280 | 280 | ||||||||||
| Depreciation | 660 | 900 | 300 | 140 | ||||||||||
| Total operating costs | $940 | $1,180 | $580 | $420 | ||||||||||
| Operating income | $1,560 | $1,320 | $1,920 | $2,080 | ||||||||||
| Taxes | 40% | 624 | 528 | 768 | 832 | |||||||||
| After-tax operating income | $936 | $792 | $1,152 | $1,248 | ||||||||||
| Add back depreciation | 660 | 900 | 300 | 140 | ||||||||||
| Net cash flows after replacement | -$1,600 | $1,596 | $1,692 | $1,452 | $1,388 | |||||||||
| Part IV. Incremental CF: Row 51 - Row 38 | -$1,600 | $656 | $752 | $512 | $448 | |||||||||
| Part V. Evaluation | NPV = | $308.51 | IRR = | 19.33% | MIRR = | 14.96% | ||||||||
| Part VI. Alternative Calculation for Net Cash Flows | ||||||||||||||
| New machine cost | -$2,000 | |||||||||||||
| Salvage value, old machine | 400 | |||||||||||||
| Net cost of new machine | -$1,600 | |||||||||||||
| Other operating cost savings = Old — New | $920 | $920 | $920 | $920 | ||||||||||
| A-T savings = Other cost savings × (1 — Tax rate) | 552 | 552 | 552 | 552 | ||||||||||
| ∆ Depreciation = (New — Old) | 260 | 500 | -100 | -260 | ||||||||||
| Depr'n tax savings = ∆ Depreciation × Tax rate | 104 | 200 | -40 | -104 | ||||||||||
| NCF = A-T cost savings + Depr'n tax savings | -$1,600 | $656 | $752 | $512 | $448 | |||||||||
| The Net Cash Flow time line is the sum of the larger, boldfaced, boxed, red numbers. The cash flows on Row 64 are IDENTICAL to those on Row 53. | ||||||||||||||
6. Dec. Trees
| ERROR:#REF! | ||||||||||||||||||||||||||||
| Section 11.10 Decision Trees | ||||||||||||||||||||||||||||
| Tab 5 extends the scenario analysis (shown in Tab 3) to incorporate the possibility of abandoning the project if demand is low. We also provide an introduction to real options. For convenience, we repeat the scenario analysis before addressing abandonment. | ||||||||||||||||||||||||||||
| See Tab 3 for details concerning the scenario analysis. | Analysis for Worst and Best Scenarios in yellow and green boxes below and to the right. | |||||||||||||||||||||||||||
| Figure 11-5 (Repeated from Tab 3) Inputs and Key Results for Each Scenario (Dollars in Thousands) | ||||||||||||||||||||||||||||
| Don’t change any values in the yellow box below. If you want to change an input, do it in Column G to the left. | Don’t change any values in the green box below. If you want to change an input, do it in Column I to the left. | |||||||||||||||||||||||||||
| Scenarios: | Worst-Case Scenario | Best-Case Scenario | ||||||||||||||||||||||||||
| Inputs: | Base | Worst | Best | Inputs | Worst | Inputs | Best | |||||||||||||||||||||
| Probability of Scenario | 50% | 25% | 25% | |||||||||||||||||||||||||
| Equipment cost | $3,400 | $4,250 | $2,550 | Equipment cost | $4,250 | Equipment cost | $2,550 | |||||||||||||||||||||
| Salvage value, equipment, Year 4 | $300 | $300 | $300 | Salvage value, equipment, Year 4 | $300 | Salvage value, equipment, Year 4 | $300 | |||||||||||||||||||||
| Opportunity cost | $0 | $0 | $0 | Opportunity cost | $0 | Opportunity cost | $0 | |||||||||||||||||||||
| Externalities (cannibalization) | $0 | $0 | $0 | Externalities (cannibalization) | $0 | Externalities (cannibalization) | $0 | |||||||||||||||||||||
| Units sold, Year 1 | 550 | 412 | 688 | Units sold, Year 1 | 412 | Units sold, Year 1 | 688 | |||||||||||||||||||||
| Annual change in units sold, after Year 1 | 4.00% | -6.00% | 14.00% | Annual change in units sold, after Year 1 | -6.00% | Annual change in units sold, after Year 1 | 14.00% | |||||||||||||||||||||
| Sales price per unit, Year 1 | $11.60 | $8.70 | $14.50 | Sales price per unit, Year 1 | $8.70 | Sales price per unit, Year 1 | $14.50 | |||||||||||||||||||||
| Annual change in sales price, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in sales price, after Year 1 | 2.00% | Annual change in sales price, after Year 1 | 2.00% | |||||||||||||||||||||
| Variable cost per unit (VC), Year 1 | $6.00 | $7.50 | $4.50 | Variable cost per unit (VC), Year 1 | $7.50 | Variable cost per unit (VC), Year 1 | $4.50 | |||||||||||||||||||||
| Annual change in VC, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in VC, after Year 1 | 2.00% | Annual change in VC, after Year 1 | 2.00% | |||||||||||||||||||||
| Nonvariable cost (Non-VC), Year 1 | $2,000 | $2,500 | $1,500 | Nonvariable cost (Non-VC), Year 1 | $2,500 | Nonvariable cost (Non-VC), Year 1 | $1,500 | |||||||||||||||||||||
| Annual change in Non-VC, after Year 1 | 2.00% | 2.00% | 2.00% | Annual change in Non-VC, after Year 1 | 2.00% | Annual change in Non-VC, after Year 1 | 2.00% | |||||||||||||||||||||
| Project WACC | 10.00% | 10.00% | 10.00% | Project WACC | 10.00% | Project WACC | 10.00% | |||||||||||||||||||||
| Tax rate | 40.00% | 50.00% | 30.00% | Tax rate | 50.00% | Tax rate | 30.00% | |||||||||||||||||||||
| Working capital as % of next year's sales | 12.65% | 12.65% | 12.65% | Working capital as % of next year's sales | 12.65% | Working capital as % of next year's sales | 12.65% | |||||||||||||||||||||
| Key Results: | Base | Worst | Best | Key Results: | Worst | Key Results: | Best | |||||||||||||||||||||
| NPV | $36 | -$5,847 | $13,379 | NPV | -$5,847 | NPV | $13,379 | |||||||||||||||||||||
| IRR | 10.35% | Not found | 112.01% | IRR | Not found | IRR | 112.01% | |||||||||||||||||||||
| MIRR | 10.23% | -100.00% | 60.30% | MIRR | -100.00% | MIRR | 60.30% | |||||||||||||||||||||
| PI | 1.01 | -0.24 | 4.51 | PI | -0.24 | PI | 4.51 | |||||||||||||||||||||
| Payback | 3.41 | Not found | 1.00 | Payback | Not found | Payback | 1.00 | |||||||||||||||||||||
| Discounted payback | 3.98 | Not found | 1.09 | Discounted payback | Not found | Discounted payback | 1.09 | |||||||||||||||||||||
| Analysis for Base-Case Scenario shown in blue box below. | ||||||||||||||||||||||||||||
| Base | Worst-Case Scenario | Best-Case Scenario | ||||||||||||||||||||||||||
| Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | Variables Used in the Cash Flow Forecast | 0 | 1 | 2 | 3 | 4 | |||||||||||
| Unit sales | 550 | 572 | 595 | 619 | Unit sales | 412 | 387 | 364 | 342 | Unit sales | 688 | 784 | 894 | 1,019 | ||||||||||||||
| Sales price per unit | $11.60 | $11.83 | $12.07 | $12.31 | Sales price per unit | $8.70 | $8.87 | $9.05 | $9.23 | Sales price per unit | $14.50 | $14.79 | $15.09 | $15.39 | ||||||||||||||
| Variable cost per unit | $6.00 | $6.12 | $6.24 | $6.37 | Variable cost per unit | $7.50 | $7.65 | $7.80 | $7.96 | Variable cost per unit | $4.50 | $4.59 | $4.68 | $4.78 | ||||||||||||||
| Nonvariable costs (excluding depreciation) | $2,000 | $2,040 | $2,081 | $2,122 | Nonvariable costs (excluding depreciation) | $2,500 | $2,550 | $2,601 | $2,653 | Nonvariable costs (excluding depreciation) | $1,500 | $1,530 | $1,561 | $1,592 | ||||||||||||||
| Cash Flows At End of Year | Cash Flows At End of Year | Cash Flows At End of Year | ||||||||||||||||||||||||||
| Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | Investment Outlays at Time = 0 | 0 | 1 | 2 | 3 | 4 | |||||||||||
| Equipment | -$3,400 | Equipment | -$4,250 | Equipment | -$2,550 | |||||||||||||||||||||||
| Initial investment in working capital | -807 | Initial investment in working capital | -453 | Initial investment in working capital | -1,262 | |||||||||||||||||||||||
| Opportunity cost, after taxes | 0 | Opportunity cost, after taxes | 0 | Opportunity cost, after taxes | 0 | |||||||||||||||||||||||
| Net Cash Flows Over the Project's Life | Net Cash Flows Over the Project's Life | Net Cash Flows Over the Project's Life | ||||||||||||||||||||||||||
| Sales revenues = Units × Price/unit | $6,380 | $6,768 | $7,179 | $7,616 | Sales revenues = Units × Price/unit | $3,584 | $3,437 | $3,295 | $3,159 | Sales revenues = Units × Price/unit | $9,976 | $11,600 | $13,489 | $15,685 | ||||||||||||||
| Variable costs = Units × Cost/unit | 3,300 | 3,501 | 3,713 | 3,939 | Variable costs = Units × Cost/unit | 3,090 | 2,963 | 2,841 | 2,724 | Variable costs = Units × Cost/unit | 3,096 | 3,600 | 4,186 | 4,868 | ||||||||||||||
| Nonvariable costs (excluding depreciation) | 2,000 | 2,040 | 2,081 | 2,122 | Nonvariable costs (excluding depreciation) | 2,500 | 2,550 | 2,601 | 2,653 | Nonvariable costs (excluding depreciation) | 1,500 | 1,530 | 1,561 | 1,592 | ||||||||||||||
| Depreciation: Accelerated, from table below | 1,122 | 1,530 | 510 | 238 | Depreciation: Accelerated, from table below | 1,403 | 1,913 | 638 | 298 | Depreciation: Accelerated, from table below | 842 | 1,148 | 383 | 179 | ||||||||||||||
| Operating profit (EBIT) | -$42 | -$303 | $875 | $1,316 | Operating profit (EBIT) | -$3,408 | -$3,988 | -$2,784 | -$2,515 | Operating profit (EBIT) | $4,539 | $5,323 | $7,359 | $9,047 | ||||||||||||||
| Taxes on operating profit | -17 | -121 | 350 | 526 | Taxes on operating profit | -1,704 | -1,994 | -1,392 | -1,257 | Taxes on operating profit | 1,362 | 1,597 | 2,208 | 2,714 | ||||||||||||||
| Net operating profit after taxes | -$25 | -$182 | $525 | $790 | Net operating profit after taxes | -$1,704 | -$1,994 | -$1,392 | -$1,257 | Net operating profit after taxes | $3,177 | $3,726 | $5,152 | $6,333 | ||||||||||||||
| Add back depreciation | 1,122 | 1,530 | 510 | 238 | Add back depreciation | 1,403 | 1,913 | 638 | 298 | Add back depreciation | 842 | 1,148 | 383 | 179 | ||||||||||||||
| Opportunity cost, after taxes | 0 | 0 | 0 | 0 | Opportunity cost, after taxes | 0 | 0 | 0 | 0 | Opportunity cost, after taxes | 0 | 0 | 0 | 0 | ||||||||||||||
| Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | Cannibalization or complementary effects, after taxes | 0 | 0 | 0 | 0 | ||||||||||||||
| Salvage value (taxed as ordinary income) | 300 | Salvage value (taxed as ordinary income) | 300 | Salvage value (taxed as ordinary income) | 300 | |||||||||||||||||||||||
| Tax on salvage value (SV is taxed at 40%) | -120 | Tax on salvage value (SV is taxed at 40%) | -150 | Tax on salvage value (SV is taxed at 40%) | -90 | |||||||||||||||||||||||
| Change in WC: Outflow (–) or recovery (+) | -49 | -52 | -55 | 963 | Change in WC: Outflow (–) or recovery (+) | 19 | 18 | 17 | 400 | Change in WC: Outflow (–) or recovery (+) | -205 | -239 | -278 | 1,984 | ||||||||||||||
| Project net cash flows: Time Line | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | Project net cash flows: Time Line | -$4,703 | -$283 | -$64 | -$737 | -$410 | Project net cash flows: Time Line | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | |||||||||||
| Project Evaluation | Project Evaluation | Project Evaluation | ||||||||||||||||||||||||||
| Results | Results | Results | ||||||||||||||||||||||||||
| NPV | $36 | NPV | -$5,847 | NPV | $13,379 | |||||||||||||||||||||||
| IRR | 10.35% | IRR | ERROR:#NUM! | IRR | 112.01% | |||||||||||||||||||||||
| MIRR | 10.23% | MIRR | -100.00% | MIRR | 60.30% | |||||||||||||||||||||||
| Profitability index | 1.01 | Profitability index | -0.24 | Profitability index | 4.51 | |||||||||||||||||||||||
| Payback | 3.41 | Payback | ERROR:#N/A | Payback | 1.00 | |||||||||||||||||||||||
| Discounted payback | 3.98 | Discounted payback | ERROR:#N/A | Discounted payback | 1.09 | |||||||||||||||||||||||
| Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | Calculations for Payback | Year: | 0 | 1 | 2 | 3 | 4 | ||||||||
| Cumulative cash flows for payback | -$4,207 | -$3,159 | -$1,863 | -$883 | $1,288 | Cumulative cash flows for payback | -$4,703 | -$4,986 | -$5,050 | -$5,787 | -$6,198 | Cumulative cash flows for payback | -$3,812 | $1 | $4,635 | $9,892 | $18,597 | |||||||||||
| Discounted cash flows for disc. payback | -$4,207 | $952 | $1,071 | $736 | $1,483 | Discounted cash flows for disc. payback | -$4,703 | -$257 | -$53 | -$554 | -$280 | Discounted cash flows for disc. payback | -$3,812 | $3,466 | $3,830 | $3,949 | $5,946 | |||||||||||
| Cumulative discounted cash flows | -$4,207 | -$3,255 | -$2,183 | -$1,447 | $36 | Cumulative discounted cash flows | -$4,703 | -$4,961 | -$5,013 | -$5,567 | -$5,847 | Cumulative discounted cash flows | -$3,812 | -$346 | $3,484 | $7,434 | $13,379 | |||||||||||
| Accelerated Depreciation | Accelerated Depreciation | Accelerated Depreciation | ||||||||||||||||||||||||||
| Depreciable basis: | $3,400 | Rate/year | 33% | 45% | 15% | 7% | Depreciable basis: | $4,250 | Rate/year | 33% | 45% | 15% | 7% | Depreciable basis: | $2,550 | Rate/year | 33% | 45% | 15% | 7% | ||||||||
| Dollars/year | $1,122 | $1,530 | $510 | $238 | Dollars/year | $1,403 | $1,913 | $638 | $298 | Dollars/year | $842 | $1,148 | $383 | $179 | ||||||||||||||
| Note: the scenario analysis below is meaningful only if the values in the input section in Cells E16:E30 are set to the original base-case. | ||||||||||||||||||||||||||||
| Recall from Tab 3 that we can find the value of the project under the assumption that the project must be operated its full life. For convenience, we repeat that analysis below. | ||||||||||||||||||||||||||||
| Figure 11-6 (Repeated from Tab 3). Scenario Analysis: Cannot Abandon | ||||||||||||||||||||||||||||
| Predicted Cash Flows for Alternative Scenarios | Calculating σ step-by-step | Quick NPV and s | ||||||||||||||||||||||||||
| Prob: | 0 | 1 | 2 | 3 | 4 | WACC | NPV | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||||||
| Best | 25% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | 10.00% | $13,379 | 11478 | 131755642 | $32,938,910 | |||||||||||||||||
| Base | 50% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | 10.00% | $36 | -1865 | 3478447 | $1,739,224 | |||||||||||||||||
| Worst | ||||||||||||||||||||||||||||
| 25% | -$4,703 | -$283 | -$64 | -$737 | -$410 | 10.00% | -$5,847 | -7748 | 60037190 | $15,009,298 | ||||||||||||||||||
| Expected NPV = | $1,901 | Variance = | $49,687,432 | $1,901 | =Expected NPV | |||||||||||||||||||||||
| Standard Deviation (SD) = | $7,049 | σ = | $7,049 | $7,049 | = Standard Deviation (SD) | |||||||||||||||||||||||
| Coefficient of Variation (CV) = Std Dev/Expected NPV = | 3.71 | |||||||||||||||||||||||||||
| Now assume that the project may be terminated (abandoned) at Year 2 if the demand is low. The net after-tax cash flow from salvage, legal fees, liquidation of working capital, and all other termination cost/revenues is $500 and is shown at Year 2 for the low demand scenario. As shown in Figure 11-9, the ability to abandon a project can add significant value to its NPV. | ||||||||||||||||||||||||||||
| Figure 11-10. Simple Decision Tree: Can Abandon Project in Worst-Case Scenario | ||||||||||||||||||||||||||||
| Predicted Cash Flows for Alternative Scenarios | Calculating σ step-by-step | |||||||||||||||||||||||||||
| Prob: | 0 | 1 | 2 | 3 | 4 | WACC | NPV | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||||||
| Best | 25% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | 10.00% | $13,379 | $11,153 | 124,399,616 | 31,099,904 | |||||||||||||||||
| Base | 50% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | 10.00% | $36 | -$2,190 | 4,796,486 | 2,398,243 | |||||||||||||||||
| Worst | -$4,703 | -$283 | -$64 | -$737 | -$410 | |||||||||||||||||||||||
| 25% | ||||||||||||||||||||||||||||
| -$4,703 | -$283 | $500 | $0 | $0 | 10.00% | -$4,547 | -$6,773 | 45,877,342 | 11,469,336 | |||||||||||||||||||
| If abandon, can liquidate for $500 at t = 2. | Expected NPV = | $2,226 | Variance = | 44,967,482 | ||||||||||||||||||||||||
| Standard Deviation (SD) = | $6,706 | σ = | $6,706 | |||||||||||||||||||||||||
| Coefficient of Variation (CV) = Std Dev/Expected NPV = | 3.01 | |||||||||||||||||||||||||||
| Figure 11-11. Decision Tree with Multiple Decision Points | ||||||||||||||||||||||||||||
| Firm can abandon the project at t = 2 | WACC = | 10.0% | ||||||||||||||||||||||||||
| Time Periods, Cash Flows, Probabilities, and Decision Points | WACC = | 10.0% | ||||||||||||||||||||||||||
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | WACC = | 10.0% | Product: NPV | Calculating σ step-by-step | ||||||||||||||||||
| 1st Invest | Prob. | 2nd Invest | Prob. | 3rd Invest | Inflow | Inflow | Inflow | Inflow | NPV | Joint Prob | x Joint Prob | Deviation | Sqrd dev | Sqrd*prob | ||||||||||||||
| 45% | -$3,812 | $3,813 | $4,634 | $5,256 | $8,705 | $10,503 | 36% | $3,781 | $6,976 | 48668922 | $17,520,812 | |||||||||||||||||
| 80% | -$500 | 40% | -$4,207 | $1,048 | $1,296 | $980 | $2,171 | -$525 | 32% | -$168 | -4051 | 16413941 | 5252460.98569415 | |||||||||||||||
| -$100 | 15% | Stop | $0 | $0 | $0 | $0 | -$555 | 12% | -$67 | -$4,081 | 16654799 | $1,998,576 | ||||||||||||||||
| -3526.4836911416 | ||||||||||||||||||||||||||||
| 20% | Stop | $0 | $0 | $0 | $0 | $0 | -$100 | 20% | -$20 | -3626 | 13151384 | 2630277 | ||||||||||||||||
| Expected NPV = | $3,526 | Sum = variance | 27402125 | |||||||||||||||||||||||||
| Standard Deviation (SD) = | $5,235 | Sq root of Var = σ | $5,235 | |||||||||||||||||||||||||
| Coefficient of Variation (CV) = Std Dev/Expected NPV = | 1.48 | |||||||||||||||||||||||||||
1
1
2
1
2
3
3
3
2
7. App. A
| DEPRECIATION TABLES | ERROR:#REF! | |||||||||||||||||||||||||
| Depreciation percentages personal property (i.e., assets other | Actual IRS Depreciation Percentages for Personal | |||||||||||||||||||||||||
| than real estate) estate), rounded for convenience. | Property | |||||||||||||||||||||||||
| Class of Investment | Class of Investment | |||||||||||||||||||||||||
| Ownership Year | 3-Year | 5-Year | 7-Year | 10-Year | Ownership Year | 3-Year | 5-Year | 7-Year | 10-Year | |||||||||||||||||
| 1 | 33% | 20% | 14% | 10% | 1 | 33.33% | 20.00% | 14.29% | 10.00% | |||||||||||||||||
| 2 | 45% | 32% | 25% | 18% | 2 | 44.45% | 32.00% | 24.49% | 18.00% | |||||||||||||||||
| 3 | 15% | 19% | 17% | 14% | 3 | 14.81% | 19.20% | 17.49% | 14.40% | |||||||||||||||||
| 4 | 7% | 12% | 13% | 12% | 4 | 7.41% | 11.52% | 12.49% | 11.52% | |||||||||||||||||
| 5 | 11% | 9% | 9% | 5 | 11.52% | 8.93% | 9.22% | |||||||||||||||||||
| 6 | 6% | 9% | 7% | 6 | 5.76% | 8.92% | 7.37% | |||||||||||||||||||
| 7 | 9% | 7% | 7 | 8.93% | 6.55% | |||||||||||||||||||||
| 8 | 4% | 7% | 8 | 4.46% | 6.55% | |||||||||||||||||||||
| 9 | 7% | 9 | 6.56% | |||||||||||||||||||||||
| 10 | 6% | 10 | 6.55% | 10.00% | 18.00% | 14.40% | 11.52% | 9.22% | 7.37% | 6.55% | 6.55% | 6.56% | 6.55% | 3.28% | ||||||||||||
| 11 | 3% | 11 | 3.28% | |||||||||||||||||||||||
| 100% | 100% | 100% | 100% | 100.00% | 100.00% | 100.00% | 100.00% | |||||||||||||||||||
| MACRS for Residential Real Property | ||||||||||||||||||||||||||
| Month Property Placed in Service | ||||||||||||||||||||||||||
| Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||||||||||||||
| 1 | 3.485% | 3.182% | 2.879% | 2.576% | 2.273% | 1.970% | 1.667% | 1.364% | 1.061% | 0.758% | 0.455% | 0.152% | ||||||||||||||
| 2-27 | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | ||||||||||||||
| 28 | 1.970% | 2.273% | 2.576% | 2.879% | 3.182% | 3.458% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | 3.636% | ||||||||||||||
| 29 | 0.000% | 0.000% | 0.000% | 0.000% | 0.000% | 0.000% | 0.152% | 0.455% | 0.758% | 1.061% | 1.364% | 1.667% | ||||||||||||||
| 99.99% | 99.99% | 99.99% | 99.99% | 99.99% | 99.96% | 99.99% | 99.99% | 99.99% | 99.99% | 99.99% | 99.99% | |||||||||||||||
| MACRS for Nonresidential Real Property | ||||||||||||||||||||||||||
| Month Property Placed in Service | ||||||||||||||||||||||||||
| Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||||||||||||||
| 1 | 2.461% | 2.247% | 2.033% | 1.819% | 1.605% | 1.391% | 1.177% | 0.963% | 0.749% | 0.535% | 0.321% | 0.107% | ||||||||||||||
| 2-39 | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | 2.564% | ||||||||||||||
| 40 | 0.107% | 0.321% | 0.535% | 0.749% | 0.963% | 1.177% | 1.391% | 1.605% | 1.819% | 2.033% | 2.247% | 2.461% | ||||||||||||||
| 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | |||||||||||||||
| Rounded Percentages Used in Analysis | ||||||||||||||||||||||||||
| Property Life (in years): | 39 | |||||||||||||||||||||||||
| Depreciation in Year 1 (assuming half-year convention): | 1.30% | |||||||||||||||||||||||||
| Rounded Depreciation in Years 2-39: | 2.60% | |||||||||||||||||||||||||
| Depreciation in Year 40: | 1.30% |
8. Scenario Summary
| Scenario Summary | ||||||
| Current Values: | Base-Case Scenario in Column E | Show Worst-Case in Column E | Show Best-Case in Column E | |||
| Created by Mike Ehrhardt on 5/17/2009 Modified by Mike Ehrhardt on 5/17/2009 | Created by Mike Ehrhardt on 5/17/2009 Modified by Mike Ehrhardt on 5/17/2009 | Created by Mike Ehrhardt on 5/17/2009 Modified by Mike Ehrhardt on 5/17/2009 | ||||
| Changing Cells: | ||||||
| $E$35 | Base | Base | Worst | Best | ||
| $E$36 | 50% | 50% | 25% | 25% | ||
| $E$37 | $3,400 | $3,400 | $4,250 | $2,550 | ||
| $E$38 | $300 | $300 | $300 | $300 | ||
| $E$39 | $0 | $0 | $0 | $0 | ||
| $E$40 | $0 | $0 | $0 | $0 | ||
| $E$41 | 550 | 550 | 412 | 688 | ||
| $E$42 | 4.00% | 4.00% | -6.00% | 14.00% | ||
| $E$43 | $11.60 | $11.60 | $8.70 | $14.50 | ||
| $E$44 | 2.00% | 2.00% | 2.00% | 2.00% | ||
| $E$45 | $6.00 | $6.00 | $7.50 | $4.50 | ||
| $E$46 | 2.00% | 2.00% | 2.00% | 2.00% | ||
| $E$47 | $2,000 | $2,000 | $2,500 | $1,500 | ||
| $E$48 | 2.00% | 2.00% | 2.00% | 2.00% | ||
| $E$49 | 10.00% | 10.00% | 10.00% | 10.00% | ||
| $E$50 | 40.00% | 40.00% | 50.00% | 30.00% | ||
| $E$51 | 12.65% | 12.65% | 12.65% | 12.65% | ||
| Result Cells: | ||||||
| $E$53 | $36 | $36 | -$5,847 | $13,379 | ||
| $E$54 | 10.35% | 10.35% | Not found | 112.01% | ||
| $E$55 | 10.23% | 10.23% | -100.00% | 60.30% | ||
| $E$56 | 1.01 | 1.01 | -0.24 | 4.51 | ||
| $E$57 | 3.41 | 3.41 | Not found | 1.00 | ||
| $E$58 | 3.98 | 3.98 | Not found | 1.09 | ||
| 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. |