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Financial Analysis, Planning and Forecasting Theory and Application. Chapter 12 . Capital Budgeting Under Certainty . By Alice C. Lee San Francisco State University John C. Lee J.P. Morgan Chase Cheng F. Lee Rutgers University. Outline. 12.1 Introduction
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Financial Analysis, Planning and ForecastingTheory and Application Chapter 12 Capital Budgeting Under Certainty By Alice C. Lee San Francisco State University John C. Lee J.P. Morgan Chase Cheng F. Lee Rutgers University
Outline • 12.1 Introduction • 12.2 Cash-flow evaluation of alternative investment projects • 12.3 Alternative capital-budgeting methods • 12.4 Comparison of the NPV and IRR method • 12.5 Different lives • 12.6 Equivalent Annual NPV and Equivalent Annual Cost • 12.7 Capital rationing decision • 12.8 Summary • Appendix 12A. NPV and break-even analysis • Appendix 12B. Managers’ views on Alternative capital-budgeting methods • Appendix 12C. Crossover rate
12.2 Cash-flow evaluation of alternative investment projects (11.18) Rt + NtPt = Ntdt + WSMSt + It, (12.1) where Rt = Revenue in period t, NtPt = New equity in period t, Ntdt= Total dividend payment in period t, WSMSt = Wages, salaries, materials, and service payment in period t, It = Investment in period t.
12.2 Cash-flow evaluation of alternative investment projects Annual After-Tax Cash Flow = ICFBT - (ICFBT - Δdep)τ = ICFBT (1 - τ) + (dep)τ, (12.2) where ICFBT = Annual incremental operating cash flows, τ = Corporate tax rate, Δdep = Incremental annual depreciation charge, or the annual depreciation charges on the new machine less the annual depreciation on the old.
12.2 Cash-flow evaluation of alternative investment projects ICFBT = ΔRt - ΔWSMSt. (12.3) (12.4)
12.3 Alternative capital-budgeting methods • Accounting rate-of-return • Internal rate-of-return • Payback method • Net present value method • Profitability index
12.3 Alternative capital-budgeting methods (12.5) where APt = After-tax profit in period t, I = Initial investment N = Life of the project.
12.3 Alternative capital-budgeting methods (12.6) where CFt = Cash flow (positive or negative) in period t, I = Initial investment, N = Life of the project.
12.3 Alternative capital-budgeting methods (12.7) (12.6’) (12.8)
12.3 Alternative capital-budgeting methods (12.8′) (12.9)
12.4 Comparison of the NPV and IRR method • Theoretical criteria • Multiple Rates-of-Return • Reinvestment Rate Problem • Practical perspective
12.4 Comparison of the NPV and IRR method Fig. 12.1 NPVs of Projects A and B at different discount rates.
12.4 Comparison of the NPV and IRR method IRR = 0.1557 or 12.84.
12.4 Comparison of the NPV and IRR method TABLE 12.2 TABLE 12.2a
12.5 Equivalent Annual NPV and Equivalent Annual Cost • Mutually Exclusive Investment Projects with Different lives
12.5.1 Mutually Exclusive Investment Projects with Different lives NPV(N,t) = NPV(N)(1 + H + H2 + ... Ht). (12.10) H[NPV(N,t)] = NPV(N)(H + H2 + ... + Ht + Ht+1). (12.11) NPV(N,t) - (H)NPV(N,t) = NPV(N)(1 - Ht+1),
12.5.1 Mutually Exclusive Investment Projects with Different lives (12.12)
12.5.1 Mutually Exclusive Investment Projects with Different lives • For Project A: • For Project B:
12.5.1 Mutually Exclusive Investment Projects with Different lives (12.13) where the annuity factor is [1 - (1 + K)-N]/K.
Equivalent Annual Cost NPV(N)= K × NPV(N,∞) × Annuity Factor (12.14) NPV(N) = C × Annuity Factor (12.15) C = K × NPV(N,∞) (12.16) (12.17)
Equivalent Annual Cost C=565.47 NPV (N, ∞) = 1749.47×(1+0.1)4 / [(1+0.1)4-1] = 5654.71 C = K* NPV (N, ∞) = 0.1× 5654.71 = 565.47
12.6 Capital rationing decision • Basic concepts of linear programming • Capital rationing
12.6.1 Basic Concepts of Linear Programming Maximize (or minimize) Z = c1X1 + c2X2 + ... + cnXn, Subject to: a11X1 + a12X2 + ... + a1nXn() b1, a21X1 + a22X2 + ... + a2nXn() b2, . . . . . . am1X1 + am2X2 + ... + amnXn() bm, Xj 0, (j = 1, 2, ..., n).
12.6.2 Capital Rationing Maximize V = 65.585X + 52.334Y + 171.871Z + 0C + 0D + 0E 100X + 200Y + 100Z + C + 0D + 0E = 300. -30X - 70Y + 240Z - C + D + 0E = 70, -30X - 70Y + 200Z + 0C - D + E = 50.
12.6.2 Capital Rationing X 1, Y 1, Z 1. X = 1.0, Y = 0.6586, Z = 0.6305.
12.7 Summary Important concepts and methods related to capital-budgeting decisions under certainty were explored in this chapter. Cash-flow estimation methods were discussed before alternative capital-budgeting methods were explored. A comparison of the NPV and IRR methods was investigated in accordance with both theoretical and practical viewpoints. Issues relating different project lives were explored in some detail. Finally, capital-rationing decisions in terms of linear programming were discussed. In the next chapter, issues relating to capital budgeting under uncertainty will be explored. In Chapter 14, the lease-vs.-buy decision will be investigated.
Appendix 12A. NPV and break-even analysis (12.A.1) where NPV(k) = Net present value of the project discounted at cost-of-capital rate k; R(t) = Stream of cash revenues at time t; C(t) = Stream of cash outlays at time t; T = Investment time horizon; ρ = Continuously compounded discount rate which is equal to loge(1 + k)
Appendix 12A. NPV and break-even analysis (12.A.2) where R = RDTE costs, I = Total initial outlay on production facilities, A = Time up to the onset of production.
Appendix 12A. NPV and break-even analysis YQ = Y1Q-b (12.A.3) where Q = Number of aircraft produced; YQ = Cumulative average production cost for Q aircraft produced; b = –log (γ)/log(2); γ = “Learning coefficient,” which remains constant over all Q; Y1 = First unit cost of production.
Appendix 12A. NPV and break-even analysis TC(t) = Y1[Q(t)](1-b) (12.A.4) (12.A.5) Q(t) = (t - A)N. (12.A.6)
Appendix 12A. NPV and break-even analysis C(t) = (1 - b)Y1(t - A)-bN(1-b) (12.A.7) for A = 42, B = 0.369188, Y1 = $100 million, t > A.
Appendix 12A. NPV and break-even analysis (12.A.8) where kj = Effective annual after-tax cost per dollar of the jth source of funds; Wj = Proportion of the jth source of funds in the long-run capital structure.
Appendix 12A. NPV and break-even analysis k = 0.3kd + 0.7ke (12.A.9) where kd = after-tax cost of debt, and ke = after-tax cost of equity.
Appendix 12A. NPV and break-even analysis (12.A.10) where D = dividend per share, P = Net proceeds per share after flotation costs, g = Average annual compound growth rate
Appendix 12A. NPV and break-even analysis R(t) = PN for t > A, (12.A.11) (12.A.12) where tx = Effective tax rate on corporate profits for Lockheed, and ρ = Discount rate.
Appendix 12A. NPV and break-even analysis Fig. 12.A.1 (From Reinhardt, H. E., “Break-even analysis for Lockheed’s Tri Star: An Application,” Journal of Finance 28 (September 1973): 830. Reprinted by permission.)
Appendix 12B. Managers’ views on Alternative capital-budgeting methods In an attempt to determine exactly what tools were needed by practitioners and what methods they were currently using in capital budgeting, Mao (1970), Hastie (1974), Fremgen (1973), Brigham and Pettway (1973), Shall, Sundem, Geijsbeek (1978), and Oblak and Helm (1980) conducted surveys and field studies of companies. The papers that emerged from these studies provide great insight into the gulf that exists between theory and practice, and attempt to explain the reasons for this gulf. Mao (1970) in “Survey of Capital Budgeting: Theory and Practice,” specifically examines three areas of capital budgeting and the disparity between theory and practice in each area. He first considers the objective of financial management, which, according to theory, is to maximize the market values of the firm’s common shares. Price per share is, according to theory, a function of its expected earnings, the pure rate of interest, the price of risk, and the amount of risk as measured by covariance between its return and other returns. Of course, current theory does not provide any all-encompassing criteria by which to choose between alternative time patterns of share prices within the planning horizon, so the businessman has no way to accurately implement plans to increase share price.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Nevertheless, most executives interviewed implied that maximization of the value of the firm was their goal, although they phrased the idea in more operationally meaningful terms. However, in a break from theory, most executives didn’t consider diversification by investors as having much impact on the value of the firm. According to theory, in a portfolio context only the nondiversifiable risk is relevant. While the major institutional investors, with large staffs of investment analysts, may fit into this portfolio context, many other investors will not. The executives saw consistent growth as a more important factor determining share value. Mao next considered the theory and practice of risk analysis. The theoreticians measure risk by the variance of returns. Mao suggests, and I agree, that semi variance is a better measure of risk because it measures only downside risk. Management will not see the possibility of excess returns as a risk, but will focus on the risk of failing to earn an adequate return. The executives interviewed also emphasized downside risk and one called the chance of excess returns “a negative risk (a sweetener).” Those interviewed also expressed risk as a danger of insolvency when a large amount of capital was to be invested.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Theory recommends either of two methods for incorporating risk into investment analysis: the certainty-equivalent approach and the risk-adjusted discount-rate approach. These two approaches will be explored in Chapter 13. When more than one investment may be made, the theory advocates the use of the portfolio approach. The practitioners depended in general on a risk-adjusted discount rate approach to incorporate risk, although their actual methods may be more rudimentary than the purely theoretical approach dictates. Consideration is given to the human factors of enthusiasm and dedication to the project, qualities that are nonquantifiable. Interviews also disclosed a definitional difference between theorists and practitioners about the word diversification. In theory, every project should be evaluated in terms of its covariance with other projects in the portfolio. In practice, diversification is a much more subjective, long-range process where only major activities and their impact on diversification are considered.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Mao next revives a topic considered earlier: how to measure returns on projects. Theory immediately discounts payback period and accounting profit in favor of internal rate-of-return and net present value. Interview results show that only two of the eight companies use Internal Rate-of-Return alone, whereas six use payback and accounting profit alone or in conjunction with internal rate-of-return. Theorists have advanced two explanations for this incongruence. First, internal rate-of-return and net present value do not consider the effect of an investment on reported earnings. Stability of estimated EPS is important to management and investors alike, and these two criteria do not give management an indication of expected stability of earnings. Many companies neglect the net-present-value method because of the extreme difficulty of determining the appropriate discount rate. Individual company characteristics also determine, to a large extent, which measurement criteria are most appropriate. Lastly, Mao recommends types of research that can make theory more useful and meaningful to practitioners. K. Larry Hastie (1974), himself a practitioner, also tries to give the academic world some advice on how to better aid the businessman. According to Hastie, in “One Businessman’s View of Capital Budgeting,” what is needed is not refinement or multiplication of measurement techniques but a re-evaluation of the assumptions inherent in the capital-budgeting process.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Hastie outlines the major problems practitioners face in capital budgeting. First, most companies are limited by capital rationing, so the problem becomes not one of finding adequate projects, but of choosing from among the acceptable projects. Theory offers no means of ranking projects with different risks, strategic purposes, and quality of analytical support. Ranking per se is not an adequate selection method unless the more qualitative criteria can somehow be incorporated into the process. Judgments enter into any process in which uncertain profits must be estimated. Hastie highlights two types of errors in judgment that can lead to failure to achieve expected returns on projects. The first is caused by excessive pessimism or optimism, with only the second posing a serious problem. Overpessimism is akin to “upside” risk in that the company will not fail to meet its goal. Overoptimism is caused by poor judgment concerning future uncertainties, which in many cases could be cured only by hiring accurate fortune tellers.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Hastie also recognizes that, in many cases, it is not the measurement method but the financial analyst who fails. The financial analyst must have a good grasp of the quantitative and qualitative impacts of each project and must be able to communicate this information to the decision makers. Those preparing expenditure requests should be objective and realistic. Hastie recommends several methods to improve capital-budgeting techniques. First, corporate strategy must be clarified and communicated so that projects incompatible with this strategy will not be needlessly analyzed. Second, analytical techniques must be evaluated. They should be understood by all who work with them and should generate the type of information used by the company in decision making. Hastie recommends the use of sensitivity analysis to isolate critical variables and give an expanded, more realistic range of estimated profits. What is essential is that those involved in the capital-budgeting process understand corporate strategy and policy and generate realistic data, which can effectively communicate to top-level management.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods James Fremgen (1973) in “Capital Budgeting Practices: A Survey,” continues the analysis of practitioner use of capital-budgeting techniques, and offers some support for Hastie’s position that measurement techniques are not the only important factor in capital budgeting. His survey again finds that payback period and accounting profit are widely used as selection criteria, contrary to theoretical approval of these methods, but also finds strong support for the use of internal rate-of-return. His results, however, do highlight a problem encountered when using the internal rate-of-return method -- the multiple internal rate-of-return. His results also give some support to Doenges’ recommendation that firms try to predict reinvestment rates for the funds to be received form projects being currently evaluated. Although of the 29 percent which projected reinvestment rates, the majority used current rates-of-return or costs of capital, some tried to estimate future reinvestment rates based on predicted future rate-of-returns or cost of capital. A majority of those questioned used some technique to measure risk and uncertainty when analyzing investment projects. Again, however, a problem arises when deciding how to quantify this risk into the analysis. Most firms appear to require an unspecified amount of additional profit for additional risk. Of course, much of the analysis of projects is based on nonfinancial or nonquantitative judgments, and companies may feel that risk is best handled in this manner.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods Fremgen confirmed the previously mentioned conclusion that capital rationing is a major influence on the capital-budgeting process. This rationing, commonly caused by a limitation on borrowing, was dealt with by most of the surveyed companies through ranking of projects. Although Hastie says this is not an adequate method of project selection, Fremgen makes little mention of non-financial, subjective methods of selection. Since project selection must be based on both financial and nonfinancial data, the results received must be due to wording of the question, which disallowed nonfinancial answers. Providing impressive support for Hastie’s position, Fremgen next described three stages of capital budgeting, only one of which dealt with financial analysis of the project. The results clearly reveal that financial analysis is considered neither the most critical nor the most difficult stage of the capital-budgeting process. More academic attention should be focused on the stage of project definition and estimation of cash flows, and the implementation and review stage of the process. Although these two stages are more difficult to adapt to quantitative methods, they would be more useful for the practitioner.
Appendix 12B. Managers’ views on Alternative capital-budgeting methods One final analysis of capital-budgeting theory and practice deals with a specific, fairly unique industry. Eugene Brigham and Richard Pettway (1973), in “Capital Budgeting by Utilities,” studied the practices in this heavily regulated industry. Regulation has a profound effect on capital-budgeting practice, and the theory behind this regulation has become antiquated with the advent of double-digit inflation. The regulators specify a target rate-of-return for utility companies, which then determine the rates they can charge consumers. However, inflation has caused the actual rate-of-return to fall below the “reasonable” rate-of-return, and, due to the lags in the regulatory process, new targeted rates-of-returns, when implemented, already have fallen behind inflation.