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22 Seleaine securities<br />

Pure returns also tend to be much less volatile than their<br />

na’ive counterparts, because they capture more signal and less<br />

noise. Consider a na’ive analysis of returns to book-to-price (BP)<br />

ratios. As most utilities have high B/P ratios, a naive return to<br />

high B/P will be affected by events such as oil price shocks,<br />

which are relevant to the pricing of utility stocks, but not necessarily<br />

to the pricing of other stocks with high B/Ps. By contrast, a<br />

pure return to B/P controls for the static introduced by industryrelated<br />

(and other) effects. By providing a clearer picture of the<br />

precise relationships between stock price behavior, company<br />

. fundamentals, and macroeconomic conditions, disentangling<br />

improves return predictability.<br />

In considering possible variables for inclusion in a model of<br />

stock price behavior, it is important to recognize that pure stock returns<br />

are driven by a combination of economic fundamentals and<br />

investor psychology. That is, economic fundamentals, such as interest<br />

rates, industrial production, and inflation, can explain only p<br />

of the behavior of stock returns. Psychology, including investors’<br />

tendency to overreact, their desire to seek safety in numbers, and<br />

their selective memories, plays a substantial in security role pricing.<br />

Signals by corporate management, including stock splits, earnings<br />

preannouncements, changes in dividend policy, share repurchases<br />

or secondary offerings, and insider trading activity, may also prov<br />

productive.<br />

It is also important to allow for the fact that price responses ma<br />

be nonlinear. For instance, a stock might be expected to react twice as<br />

favorably to a 2-cent positive earnings surprise as to a l-cent~surprise.<br />

It is highly unlikely, however, that a 57-cent surprise wilelicit 57<br />

times the response of a l-cent surprise. Investor enthusiasm tends to<br />

taper off because of satiation, suspicion that such a large surprise<br />

a<br />

norwarring event, or fear that it reflects a data error.<br />

Return-predictor relationships are likely to differ across different<br />

types of stocks. Because the value sector includes more financial<br />

stocks than the growth sector, for example, value stocks in general<br />

tend to be more sensitive than growth stocks to changes in interest<br />

rate default spreads. Eamings surprises and earnings estimate revisions,<br />

by contrast, appear to be more important for growth than for<br />

value stocks. Thus, Intel shares can take a nosedive when earnings<br />

come in a penny under expectations, whereas Ford shares remain

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