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STOCHASTIC

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24 THE REVIEW OF ECONOMICS AND STATISTICS<br />

of this latter assumption, it follows that risk<br />

classes of securities should be scaled in terms of<br />

variances of returns rather than standard deviations<br />

(with the level of covariances reflected in<br />

the parameters of the linear function). The<br />

complexities involved when indifference contours<br />

are scaled on covariances or standard deviations<br />

are indicated below.<br />

The conclusion that the indifference contour<br />

between xt and the variance a? is linear in the<br />

general case when all covariances cr,y are held<br />

constant is established in the appendix, note II,<br />

by totally differentiating the equilibrium conditions<br />

(12) [or the equivalent set (220) restricted<br />

to the m! stocks held in the portfolio]. But all<br />

pairs of values of Xi and a< 2 along the linear<br />

indifference coutour which holds A,° fixed at<br />

some given level also rigorously imply that the<br />

proportionate mix of all other stocks in the portfolio<br />

is also unchanged. Consequently, we may<br />

proceed to derive other properties of this indifference<br />

contour by examining a simple "two<br />

security" portfolio. (The s' h security is renumbered<br />

"1," and "all other" securities are called<br />

the second security.) If we then solve the<br />

equilibrium conditions 33 (12) in this two-stock<br />

case and hold K = hi°/hi° constant, we have<br />

(24) K = hi'/h^" = constant = (*i 0 if ] p I < Km/n2 < I u _1 |.<br />

On the other hand, from (25c) we have<br />

142 PART II. QUALITATIVE ECONOMIC RESULTS

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