06.06.2013 Views

STOCHASTIC

STOCHASTIC

STOCHASTIC

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

298 REVIEW OF ECONOMIC STUDIES<br />

F ("y)<br />

FIGURE 6<br />

3. THE EFFECT OF TAXES IN CHANCE-CONSTRAINED MODELS<br />

(a) One riskless and several risky assets<br />

In this section the separation theorem of Tobin [20] plays a central role. This<br />

theorem states, as was mentioned above, that (for risk averters in purely competitive<br />

markets) the proportionate composition of the non-cash assets is independent of their<br />

share of the total asset holdings when utility functions are quadratic, or the rates of<br />

return are normally distributed.<br />

This means that in the event that some of the riskless asset is held, the proportions<br />

in which the risky assets are held in an optimal portfolio are independent of wealth, the<br />

minimum return level and the risk level. If there existed a known distribution of stock<br />

prices, then all investors would hold the same proportions of risky assets and the theorem<br />

could be tested empirically. 1<br />

Proof of the separation theorem using the E-formulation of chance-constrained programming<br />

and assuming normally distributed asset returns with two constraints.<br />

Assume that the investor can invest in one riskless asset, with return #•„ and in risky<br />

assets whose rate of return r, are distributed with mean nt and variance erf, (i = 2, ..., N).<br />

The amounts invested in the risky assets are denoted by x{, (i = 1, ..., N). We would then<br />

try to solve the problem<br />

subject to<br />

maxl rlxi + Z /W<br />

i

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!