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STOCHASTIC

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410 MERTON<br />

of return JX. The interpretation of this result is that as ft increases for a<br />

given a, the probability increases that future "ct's" will be more favorable<br />

relative to the current a, and so there is a tendency to hold more of one's<br />

current wealth in the risk-free asset as a "reserve" for investment under<br />

more favorable conditions.<br />

The last type of price mechanism examined differs from the previous<br />

two in that it is assumed that prices satisfy the geometric Brownian<br />

motion hypothesis. However, it is also assumed that the investor does<br />

not know the true value of the parameter a, but must estimate it from<br />

past data. Suppose P is generated by equation (119) with a and a constants,<br />

and the investor has price data back to time •—T. Then, the best estimator<br />

for a, &{t), is<br />

1 r* dP<br />

(130><br />

^ = TT-rL-P'<br />

where we assume, arbitrarily, that

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