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STOCHASTIC

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and a gamble is offered that returns<br />

{<br />

(r+a)<br />

(r—a)<br />

with probability<br />

with probability<br />

p,<br />

(1— p),<br />

where p > i, a > 0, initial wealth B0 = 0, and r is the riskless rate of interest. Show that<br />

there is no optimal policy.<br />

7. Consider a portfolio problem associated with the choice of asset proportions Xj £ 0<br />

of independent Pareto-Levy investments pu ...,p„. Referring to the notation in Ziemba's<br />

paper, let pj have the distribution F(pj; pj, Sj, 0, a), where Sj > 0 and 1 < a ^ 2.<br />

(a) Show that the mean-a-dispersion efficiency frontier may be generated by solving<br />

minf(x) = ^Sjx/, s.t. Xi + ••• + x„ = 1, pt xt + ••• + pnx„ = p.,<br />

xt gO,.-,^gO<br />

for all p.<br />

(b) Show that the = signs in (a) may be replaced by =: signs as long as min Sj > 0 and<br />

minpj < (i < max/5j.<br />

(c) Let a Lagrangian expression for the problem in (a) be<br />

L(x,vuv2) =f(x) + V1(1-'£XJ) + V2(P-'ZPJXJ).<br />

Develop the Kuhn-Tucker conditions for the problem in (a), and show that they have<br />

a unique solution under the assumptions in (b).<br />

(d) Suppose investments / = 1 i»S» have equal means and 0 < Si g ••• g S,„;<br />

then these investments may be optimally blended to form a single composite stable asset<br />

pc. Recall from Samuelson's paper in Part III, Chapter 3, that it is always optimal to allocate<br />

a positive amount of one's resources in each investment whose mean is at least<br />

min^j. Show that such a result applies to this case even if a < 2. Develop the efficiency<br />

problem to form the composite asset pc = Yj=i y*Pj- Show that aSjiyf)"' 1 = vx.<br />

(e) Show that the optimal asset proportions satisfy<br />

yk* \sKJ<br />

and that ys* L m cJfc<br />

Interpret these expressions. Notice that when a = 2, the normal distribution case, the<br />

product of asset proportion and variance is equal for each j.<br />

The results in (d)-(e) indicate that without loss of generality the assets may be assumed to have<br />

different means, say py > p2 > ••• > p„. By Samuelson's results, x/ > 0 implies Xjtt > 0;<br />

hence the only pattern of zeros in (xt*, ...,x„*) must have the form (xS, ...,xr*,0, ...,0).<br />

(f) Develop the Kuhn-Tucker conditions under the assumption that r is known.<br />

(g) Reduce the Kuhn-Tucker conditions to the system<br />

Sjx'f 1 -ajtsAbiP+j^buXj] -aJ2S2\b2p+Y,b2jx\ = 0, 7 = 3,<br />

where the a's and b's are rational functions of pt and p2.<br />

(h) Develop a procedure to find the optimal r using the system of nonlinear equations<br />

in (g). When is r ~ 1 or n?<br />

8. Consider an investor with a utility function u. Suppose his investment alternatives<br />

i = 1,..., n have independent identically distributed Cauchy distributions px ~ F(p ;p,S,0,\),<br />

S > 0 (notation follows Ziemba's paper). Assume that the investor wishes to allocate his<br />

initial wealth of one dollar among these investments in proportions xt so as to maximize<br />

COMPUTATIONAL AND REVIEW EXERCISES 333

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