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(c) For a single risky asset having only two rates of return, as in the Stiglitz paper,<br />

sketch the before- and after-tax budget lines under various combinations of interest<br />

rate, initial wealth, and risky returns.<br />

(d) Show by either graphical or analytical means that the effects of the tax on risk-taking<br />

are ambiguous, that is, show that risk-taking may increase or decrease depending on the<br />

problem details.<br />

*(e) Try to find conditions under which unambiguous statements can be made regarding<br />

the effects of this tax on risk-taking.<br />

Suppose that B = $2000, w0 = $1000, and t = 20%.<br />

(f) For the investor of Exercise CR-19, formulate the optimality problem if short sales<br />

are not allowed, but borrowing is unlimited. Formulate an algorithm for solving this<br />

problem.<br />

20. (Properties of univariate log-normal distributions) The notion that random investment<br />

returns are subject to limited liability in the sense that the investor can lose no more<br />

than his initial outlay leads to the study of distributions whose outcomes are never negative.<br />

The log-normal distribution is such a distribution and it arises naturally from modified<br />

central limit theorems. If X is an essentially positive variate (0 < x < oo for all outcomes x)<br />

and Y = log X has a normal distibution with mean n and variance a 2 , then X is said to have<br />

the log-normal distribution A(x\n,a 2 ). Hence<br />

and the density of X is<br />

dA(x)<br />

dx<br />

A(*) =<br />

IN (log x)<br />

(o<br />

exp -^Oogx-<br />

= < xo ^2n<br />

nY<br />

lo<br />

if x > 0,<br />

otherwise,<br />

dx if x > 0,<br />

otherwise.<br />

Thus log-normal variates tend to arise in situations where the variate is a productof independent<br />

identically distributed (iid) elementary variates. It is possible to prove that if Xlt X2,...<br />

is a sequence of iid variates, EilogX,} = fi < oo and var[logA r J = a 2 < oo, then the geometric<br />

mean [OJ = I XjY'" is asymptotically distributed as AO,

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