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The Velo Rapid Revolutions Inc., a company that produces bicycles, elliptical trainers, scooters and other wheeled non-motorized recreational equipment, is considering an expansion of their product line to Europe. The expansion would require a purchase of equipment with a price of €1,200,000 and additional installation of €300,000 (assume that the installation costs cannot be expensed, but rather, must be depreciated over the life of the asset) . Because this would be a new product, they will not be replacing existing equipment. The new product line is expected to increase revenues by €600,000 per year over current levels for the next 5 years, however; expenses will also increase by €200,000 per year. (Note: Assume the after-tax operating cash flows in years 1-5 are equal, and that the terminal value of the project in year 5 may change total after-tax cash flows for that year.) The equipment is multipurpose and the firm anticipates that they will sell it at the end of the five years for €500,000. The firm's required rate of return is 12% and they are in the 40% tax bracket. Depreciation is straight-line to a value of euro 0 over the 5-year life of the equipment, and the initial investment (at year 0) also requires an increase in NWC of €100,000 (to be recovered at the sale of the equipment at the end of five years) . The current spot rate is $0.95/euro, and the expected inflation rate in the U.S. is 4% per year and 3% per year in Europe.
-Refer to Instruction 18.1. What is the IRR of the Velo Rapid Revolutions expansion?
Confidence Interval
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter with a specified level of confidence.
Point Estimate
Single value used to estimate an unknown population parameter.
Population Parameter
A numerical value that represents a characteristic of an entire population, such as its mean or standard deviation.
Standard Error
The standard deviation of the sampling distribution of a statistic, most commonly the mean; it is used to estimate the accuracy of a sample mean compared to the population mean.
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