Currently, Warren Industries can sell 15 dash year, $1 comma 000-par-value bonds paying annual interest at a 11% coupon rate. Because current market rates for similar bonds are just under 11%, Warren can sell its bonds for $1 comma 030 each; Warren will incur flotation costs of $30 per bond. The firm is in the 22% tax bracket.

a. Find the net proceeds from sale of the bond, ^{D{n}} .
b. Show the cash flows from the firm’s point of view over the maturity of the bond.
c. Calculate the before-tax and after tax costs of debt.
d. Use the approximation formula to estimate the before tax and after tax costs of debt
e. Compare and contrast the costs of debt calculated in parts c and d. Which approach do you prefer? Why?

An employer who is considering hiring eva has asked donna, eva’s former supervisor, for a report on eva. in truth, eva’s work for donna has been only average. however, eva is donna’s friend, and donna knows that eva probably will not get the job if she says anything negative about eva, and donna knows that eva desperately needs the job. further, donna knows that if the situation were reversed, she would not want eva to mention her deficiencies. nevertheless, it has been donna’s policy to reveal the deficiencies of employees when she has been asked for references by employers, and she knows that some of eva’s faults may be bothersome to this particular employer. finally, this employer has leveled with donna in the past when donna has asked for a report on people who have worked for him. should donna reveal deficiencies in eva’s past performance? (remember to use one of the three moral theories acceptable for this test to solve this dilemma. any discussion of any personal opinion, religious perspective, or theory other than the moral theories acceptable for this test will result in a score of "0" for this question.)

If the economy were in the contracting phase of the business cycle, how might that affect your ability to find work?

Which is the most compelling reason why mobile advertising is related to big data?