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(g) Discuss the use of semivariance as a measure of a risky asset particularly in relation<br />

to variance. Illustrate some advantages and disadvantages.<br />

(h) Suppose there are two projects A and B that have the following joint probability<br />

of outcome table per dollar invested in each investment:<br />

A 0<br />

3<br />

4<br />

0<br />

0.2<br />

0.05<br />

0.05<br />

B<br />

2<br />

0.05<br />

0.1<br />

0.2<br />

5<br />

0.05<br />

0<br />

0.2<br />

Perform p-o 1 , p-a, ft-Sh, and p-sh analyses, where it is assumed that h and the investors'<br />

initial wealth is one dollar.<br />

(i) Discuss the results of (h).<br />

9. Suppose an investor's utility function is u(w) = 1 — Ae~ v,v -(1 -X)e~ 6w , where<br />

0g AS \,y> 0, and 0.<br />

(a) Show that u is concave, nondecreasing, bounded from above, and has decreasing<br />

absolute risk aversion.<br />

Suppose that the investment returns have a multivariate stable distribution of Press'<br />

class as discussed in Ziemba's paper.<br />

(b) Show that<br />

Eu(w) = 1 - A exp[-y/5'*+/>•(*)] - (1 — A) exp[ — dp'x + 6"r(xy\ = i//(x),<br />

where x = (xi, ...,x„)' £ 0 are the investment allocations, 1 < «^ 2, /•(*) =<br />

\ YJj^iix'Qjx)" 12 is the dispersion of the portfolio p'x, and p = (pu ...,p„Y is the vector<br />

of mean returns. Investigate the boundedness properties of the expected utility integral.<br />

(c) Show that r is convex.<br />

(d) Show that \ji is concave.<br />

Suppose u has constant absolute risk aversion.<br />

(e) Show that A = 1.<br />

(f) Show that maximizing Eu(w) is equivalent to maximizing the concave function<br />

m<br />

yp'X-(f/2) Z(x'njXy».<br />

(g) Show that the expression in (f) reduces to Freund's result (Exercise 1) when a = 2.<br />

10. Consider Press' class of multivariate stable distributions as discussed in Ziemba's<br />

paper. Suppose there are, pj assets whose prices follow a multivariate law with characteristic<br />

exponent oij, j = \,...,K, and Y,Pj = n. Suppose each of these groupings is independent,<br />

has m=l, and each fi^ is positive definite. Let x J denote the^j x 1 vector of asset allocations<br />

of type otj, p the vector of mean returns, and suppose that short sales are allowed.<br />

(a) Show that final wealth W has the log characteristic function<br />

K<br />

log^CO = itx'p-i Y^'^WSlSx 1 )"' 12 .<br />

(b) Show that Wis not stable unless aj is the same for ally.<br />

(c) Note that the dispersion of w is<br />

r{x) = i i, (x'fii-W 2 .<br />

346 PART III STATIC PORTFOLIO SELECTION MODELS

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