1 / 31

Corporate Finance

Corporate Finance. Class 04 Project Analysis Daniel Sungyeon Kim Peking University HSBC Business School. Class O utline. Project Analysis Managerial options Scenario & sensitivity analysis Spreadsheet modeling. Dynamic Project Analysis: Real Options.

hinda
Télécharger la présentation

Corporate Finance

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Corporate Finance Class 04 Project Analysis Daniel Sungyeon Kim Peking University HSBC Business School

  2. Class Outline • Project Analysis • Managerial options • Scenario & sensitivity analysis • Spreadsheet modeling

  3. Dynamic Project Analysis: Real Options • “Real options” or “managerial options” • Manager’s right, not obligation, to modify the project as events occur • Capital investment projects can have embedded options • Option to expand: If project exceeds expectations, it may be expanded • Option to abandon: If project fails to take off, it may be abandoned • Option to wait: Project implementation could be postponed, until uncertainty is reduced • So far, our analysis has been ‘static’ • How to value the option embedded in a project?

  4. Dynamic Project Analysis • Real / managerial options – Example • 2M Corp takes on a new product line of post-it notes • Suppose that 6 months after the start of the project, the company sees that: • Case 1: Sales are much worse than expected • Case 2: Sales are much better than expected • What could the company do in each case?

  5. Types of Managerial Options • Option to expand • If a project exceeds expectations, it could be expanded • Option to abandon • If a project fails to meet expectations, it may be abandoned • Option to wait • Project implementation could be postponed till uncertainty is reduced or resolved • Designed-in options • Project with input flexibility, output flexibility, or expansion capabilities

  6. Valuing Managerial Options • Managerial Options are priced using an option pricing technique called binomial pricing • Binomial pricing involves building a “tree” of contingencies • The value of the project depends on what may occur in the future and the probabilities • The valuation is similar to calculating an expected value based on scenarios and probabilities

  7. Example: Abandonment Option • Nike considers developing a new line of product • The new product has 50/50 chance of success and failure • If successful, the new line of product generates a cash flow of $150M per year into perpetuity • If not, annual cash flows are $50M per year into perpetuity • The product line initially costs $550 million • The discount rate is 20% • Should Nike take this project?

  8. Abandonment Option Cash flows if successful • Abandonment Option – Example – Continued • What is the expected NPV of the project? • Should Nike undertake it? Cash flows if not successful Initial capital spending

  9. Abandonment Option • Let’s introduce an Abandonment Option • Basic idea: • You are not forced to run poorly-performing projects. They can be closed down early in order to get some salvage value • Sometimes, projects are worth more dead than alive • Having an abandonment option does not mean you must execute it → must determine when to abandon • Back to our example • Suppose 1 year later, we know better if the project is successful • Nike can terminate the project and sell the equipment for $400M

  10. Example continued… • Now, there is a decision node at date 1: Continue or abandon • When should Nike terminate the project? • What is the NPV with the abandonment option? Cash flows if successful Initial capital spending Cash flows if not successful Liquidation value if abandon

  11. Option to Expand • Basic idea: • Doing one project may allow you to do related projects in the future • We should include these follow-on projects in the analysis • Option to Expand – Example • Naturelle Cosmetics considers the production of an allergen-free lipstick but the management is concerned because it has negative expected NPV: • Development cost is $10M and the lipstick has 50% chance of success • If successful: the PV of all future cash flows is $10M • If failure: the PV of all future cash flows is $5M • Expected NPV= –10+(0.5(10)+0.5(5))= –$2.5M

  12. Option to Expand • Option to Expand – Example – Continued • Suppose the expertise gained from developing the new lipstick can be used to develop an entire new line of allergen-free cosmetics • The first project gives the option of doing other related projects • Additional development costs are $50M • If the lipstick succeeds, the PV of all future cash flows from the related lines is $100M (big market for this type of cosmetics) • If the lipstick fails, the PV of all future cash flows from the related lines is –$10M (small market for this type of cosmetics)

  13. Option to Expand • Does the ability to start the new line make the lipstick project more attractive? • Such embedded managerial / real options have value • How do we find the value of such options? • Option Value = NPV(with option) – NPV(without option) • What is the real option value in the cosmetics example?

  14. Uncertainties to NPV approach • In Capital Budgeting, the investment decision is sensitive to the accuracy of the NPV • To calculate the NPV of a project we need to: • Forecast future financial statements • Compute the expected future CFs • However, all forecasts are inherently uncertain • The uncertainty of the forecasts leads to uncertainty in the NPV of the project • What if our assumptions and forecasts are wrong and things do not turn out to be as expected?

  15. Scenario Analysis: An Example • Nike is considering a new line of winter running clothes that adjust warmth protection based on body heat • After much analysis, the financial analysts at Nike determine that this project is expected to have an NPV of $34 million with a discount rate of 10% • The NPV calculation assumes that sales for Nike’s current sport clothes will decrease only 10%. Most of the sales for the new product will come from competitors’ customers • This NPV is the base case (most likely) outcome

  16. More on Nike’s Example • The worst case • What if 25% of the sales come from Nike’s existing products, resulting in an NPV of -$190 million? • The best case • What if only 2% of the sales come from Nike’s existing products, resulting in an NPV of $150 million? • We examine how these outcomes affect your decision to take this project

  17. Expected Value based on Scenarios • Suppose your marketing department tells you that • The best case scenario has a probability of 10% • The worse case scenario has a probability of 25% • The base case scenario has a probability of 65% • Will you accept this project? • Expected NPV = 10%×150+25%×(-190)+65%×34 = -10.4 (million) • NO!

  18. What-if analyses • What-if analyses: (i) measuring forecast risk; (ii) understanding critical value drivers • Sensitivity analysis: Measures impact on NPV due to a change in one underlying parameter, holding all other parameters constant • Scenario analysis: Estimating NPV under alternative scenarios (i.e., let many parameters change simultaneously, but only let change by a few values) • Simulation Analysis: allows many parameters to change simultaneously in many ways (At-Risk software provides tools to do this)

  19. Sensitivity Analysis • Consider the Nike example again • The staff has put together the following cash flow forecasts (in millions). Assume no working capital requirements and a discount rate of 10%.

  20. Assumptions used to Obtain Cash Flows • Size of running clothing market: 5 million units • Nike’s market share: 20% • So Nike’s market share = 20%*5 million =1 million • Unit sales price: $375.00 • So Nike’s revenue = $375*1 million = $375 million • Unit variable costs: $300.00 • So Nike’s costs = $300*1 million = $300 million • Annual fixed costs: $30 million

  21. Sensitivity Analysis • Alternative assumptions and the resulting NPVs. • To which assumption is NPV most sensitive?

  22. Sensitivity Analysis • How sensitive is the NPV to changes in assumptions? • Purpose • Identifies the “value drivers” of a project • Determines where resources should be spent to reduce uncertainty • Limitations • Depends on the choice of optimistic/pessimistic assumptions • Interrelationships among the assumptions

  23. Sensitivity Analysis in Excel • Link cells together!! • Example 1: Sales revenue per unit is forecast to be $9.70 in year 1, and then grow with inflation • This year’s Sales = Last year’s Sales × (1+This year’s inflation rate)

  24. Two-Way Sensitivity Analysis: Excel • Two-way sensitivity: two assumptions changing simultaneously over a wide range of values • Tools for Sensitivity Analysis: Data Tables • In Excel 2007, select Data, then select What-If Analysis, then select Data Table • When prompted, complete “Row Input Cell” and “Column Input Cell” references • Tools for Sensitivity Analysis: Graphs

  25. Dealing with Uncertainty • Sensitivity Analysis – Computer-based Example • A company considers a project which lasts for 12 years and requires an initial investment of $5,400,000 • In each of these 12 years: • Sales revenues are $16,000,000 • Variable costs are 81.25% of sales • Fixed costs, other than depreciation, are $2,000,000 • Assets are depreciated on a straight-line basis, the effective tax rate is 40% and the cost of capital is 8% • What’s the NPV for the project?

  26. Dealing with Uncertainty • Sensitivity Analysis – Computer-based Example • Conduct a sensitivity analysis for each of the variables • Change only one variable at a time • Let’s try it out • Consider the following possible realizations for each variable

  27. Dealing with Uncertainty • Sensitivity Analysis – Computer-based Example • Repeat the Sensitivity Analysis for all possible variables • Check that your NPV numbers (in thousands) match those in the table below

  28. Dealing with Uncertainty • Break-Even Analysis • Analysis of the level of sales (dollar sales / sales volume) at which the project breaks-even • Accounting break-even: Sales level at which Net Income equals 0 • NPV break-even: Sales level at which NPV equals 0 • NPV break-even > Accounting break-even

  29. Dealing with Uncertainty • Break-Even Analysis – Example • A project lasts for 10 years and requires an initial investment of $600,000 • The cost of capital is 10% and the tax rate is 40% • The level of sales will stay constant over the 10 years • The cost structure for the project is as follows: • Variable costs: 80% of sales • Fixed costs: $100,000 every year • Find the accounting break-even and NPV break-even level of sales.

  30. Dealing with Uncertainty • Break-Even Analysis – Example • Outline of the solution approach • Let ‘Y’ denote the break-even volume of sales • Write the expression for project’s operating cash flow (OCF) in terms of ‘Y’ • Set NPV = 0 and solve for ‘Y’ • For accounting break-even, set NI = 0 • Questions: • What is the expression for OCF in terms of ‘Y’? • What is the expression for NPV in terms of ‘Y’?

  31. Key Points • NPV approach will underestimate a project’s value if it ignores managerial options • Calculating the NPV of an investment requires many forecasts • Scenario, Sensitivity and Simulation Analysis help you evaluate your assumptions

More Related