Need answer for (c) and (d). Previously, you studied linear combinations of inde

Question

Need answer for (c) and (d).

Previously, you studied linear combinations of independent random variables. What happens if the variables are not independent? A lot of mathematics can be used to prove the following: Let x and y be random variables with means x and y, variances 2x and 2y, and population correlation coefficient (the Greek letter rho). Let a and b be any constants and let w = ax + by for the following formula.

w = ax + by
2w = a22x + b22y + 2abxy

In this formula, r is the population correlation coefficient, theoretically computed using the population of all (x, y) data pairs. The expression xy is called the covariance of x and y. If x and y are independent, then = 0 and the formula for 2w reduces to the appropriate formula for independent variables. In most real-world applications the population parameters are not known, so we use sample estimates with the understanding that our conclusions are also estimates.

Do you have to be rich to invest in bonds and real estate? No, mutual fund shares are available to you even if you aren't rich. Let x represent annual percentage return (after expenses) on the Vanguard Total Bond Index Fund, and let y represent annual percentage return on the Fidelity Real Estate Investment Fund. Over a long period of time, we have the following population estimates.

x 7.33,      x 6.57,      y 13.17,      y 18.59,       0.424

(b) Suppose you decide to put 75% of your investment in bonds and 25% in real estate. This means you will use a weighted average w = 0.75x + 0.25y. Estimate your expected percentage return w and risk w.

(c) Repeat part (b) if w = 0.25x + 0.75y.
w =  
w =  
(d) Compare your results in parts (b) and (c). Which investment has the higher expected return? Which has the greater risk as measured by w?

w = 0.75x + 0.25y produces higher return with lower risk as measured by w.w = 0.25x + 0.75y produces higher return with greater risk as measured by w.    w = 0.75x + 0.25y produces higher return with greater risk as measured by w.w = 0.25x + 0.75y produces higher return with lower risk as measured by w.Both investments produce the same return with the same risk as measured by w.

Explanation / Answer

b) w =  0.75x + 0.25y= 0.75*7.33 + 0.25*13.17 = 8.79
2w = a22x + b22y + 2abxy = 0.752*6.572 + 0.252*18.592 + 2*0.75*0.25*6.57*18.59*0.424 = 65.2992

c) w =  0.25x + 0.75y= 0.25*7.33 + 0.75*13.17 = 11.71
2w = a22x + b22y + 2abxy = 0.252*6.572 + 0.752*18.592 + 2*0.25*0.75*6.57*18.59*0.424 = 216.5108

d) w = 0.25x + 0.75y produces higher return with greater risk as measured by w

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