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uncertain, this may influence the decision to invest in a marginal capital investment (Northcott, 1992). One difficulty in the use of sensitivity analysis arises where key variables are mutually depending. This effect is best dealt with using simulation, although it can be partially overcome by treating dependent variables as a single variable and adjusting their values proportionately based on
their expected relationship (Northcott, 1992).
2.6.2 Scenario Analysis Scenario analysis is a behavioral approach wider in scope than sensitivity analysis is used to analyze the impact of various circumstances on the firms return. Rather than isolating the effect of a change in a single variable Scenario analysis is used to evaluate the impact on return of simultaneous change in a number of variables. Once we start looking
at alternative scenario us, we might find that the most of the plausible one result in positive NPVs. In this case we have some confidence in proceeding with the project. If a substantial percentage of the scenarios look bad, then the degree of forecasting risk is high and further investigation is in order (Ross,
Westerfield
and Jordan, 2001).
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