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estion: Calculate the weighted average cost of capital (WACC) for PDI. E/V80.00% Cost of equity9.40% Risk-free rate 3.00% Beta 1.28 Market equity risk premium 5.00%

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estion:

Calculate the weighted average cost of capital (WACC) for PDI.

E/V80.00%

Cost of equity9.40%

Risk-free rate 3.00%

Beta 1.28

Market equity risk premium 5.00%

D/V20.00%

Cost of debt4.00%

Corporate tax rate40.00%

WACC 80% x 9.40%) + [20% x 4% x (1 - 40%)]= 8.00% WACC = (E/V x Re) + ((D/V x Rd) x (1 - T))

*Cost of equityRisk free rate of return + (Beta * Risk premium) = 3% + (1.28 x 5%) 0.094

Givend the above, I cannot get the following:

Sum of FCF PV =?

Terminal value =?

Present value of terminal value =?

Total value of PDI =?

Assumptions

Discount rate ?

Terminal value ?

image text in transcribedimage text in transcribedimage text in transcribed
Consider a Markov chain {Xn : n = 0, 1, 2, ...} with state space {1, 2, 3} and one-step transition probability matrix O NIH NIH P = O 0 O (a) Mark O or X: ( ) The Markov chain is irreducible. ( ) The Markov chain is aperiodic. ( ) The Markov chain is transient. ( ) The Markov chain is recurrent. ( ) The Markov chain is null recurrent. ( ) The Markov chain is ergodic. (b) Calculate P(X5 = 1/X2 = 1). (c) Find limn + P(Xn = 1/X2 = 1).A Markov chain with state space {1, 2, 3} has transition probability matrix 0.6 0.3 0.1\\ P. = 0.3 0.3 0.4 0.4 0.1 0.5 (a) Is this Markov chain irreducible? Is the Markov chain recurrent or transient? Explain your answers. (b) What is the period of state 1? Hence deduce the period of the remaining states. Does this Markov chain have a limiting distribution? (c) Consider a general three-state Markov chain with transition matrix P11 P12 P13 P = P21 P22 P23 P31 P32 P33 Give an example of a specific set of probabilities p;; for which the Markov chain is not irreducible (there is no single right answer to this, of course !).1. Suppose Z ~ N(0, 1). Need to find m, and r, such that P(a 1.96) = 0.025 Hence 1 = -1.96 and The = 1.96. 2. If the height of a storm surge following a hurricane has expected value E[X'] = 5.5 feet and the standard deviation ox = 1 foot, use Chebyshev inequality to find and upper bound on P[X > 11]. Solution: We can write P[X > 11] = P[X -/x 2 11 - px] = P[X -/x| >5.5] Using Chebyshev inequaltiy, we get Var[X P[X > 11] 0.033 (5.5)2

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