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Your firm will produce widgets for the next 10 years (starting at t=1). Annual revenue from
selling widgets is $20,000. Production requires an initial outlay (at t=0) for machinery of $50,000, and
involves annual expenses for labor and raw materials of $3,000. In addition, the operation requires the firmto hold a certain amount of inventory. It is estimated that the level of inventory required is 10% of annualsales. You will need to build up this level of inventory before you start the project (i.e., at t=0). Themachinery will last 10 years and have zero salvage value. Any remaining assets of the firm will be
liquidated at the end of the ten years. Assume that the firm uses straight-line depreciation over the life ofthe equipment, pays 40% tax, and that all cash flows occur at the end of the year.
a) Calculate the after-tax operating cash flows for this firm
b) With an 8% WACC, what is the NPV of the project? Should you undertake it?
You are considering a new line of consumer products. You expect revenues of $14 million in each of the next ten years, while expenses are half of revenues (all cash flows are assum
An electron follows a helical path in a uniform magnetic field of magnitude 0.422T. The pitch of the path is 6.81 mm, and the magnitude force on the electron is 1.59 x 10 -15 N. W
Would you please advise me what would be the code in Eviews if I have first dependent variable in continuous data, second censor data and third discrete data in my system (structu
The attached Eviews results are for a model who has a professional career (dependent variable = pro (1 if respondent has a professional career, 0 otherwise). The data is the 1979 c
Which of the following is an example of derived demand?
exceptional supply
Suppose an economy has the following Real money demand Function: L(Y,i) = 1000 + 0.3Y - 4000i, where i is the nominal interest rate paid on non-monetary (financial) assets,
I am trying to apply weighted least squares but Im not getting a very good fit when I regress the residuals on the variables so I don''t think the weights will be very good
prove that summation k =0 and summation kxi=1
(a) Describe all tests that you need to undertake prior to working with time series data. (b) Consider the following regression result: Standard Errors: (6.7525)
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