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The Complexity of the St& Market 37<br />

gards to capture return reversal, or emphasizing stocks with recent<br />

pleasant earnings surprises.<br />

We suggest exploiting these effects as trading overlays, because<br />

no additional transaction costs are incurred if trades are to be<br />

made regardless. For instance, an investor purchasing energy<br />

stocks would benefit by focusing on recent laggards. Moreover,<br />

APIs such as return reversal can be exploited even more effectively<br />

with real-time trading strategies. APIs appear to be psychologically<br />

motivated, as we illustrate in the following paragraphs.<br />

The pure payoff to the smaller-size attribute illustrates the<br />

ond type of return effect. Unlike MIS, the payoffs to smaller size are<br />

not consistent. For instance, the pure returns were positive 1983 in<br />

but negative in 1986. While such effects are not regular to the naked<br />

eye, they are regular and predictable in a broader empirical fram<br />

work, with the use of macroeconomic information. Hence, we refer<br />

to them as "empirical return regularities" (ERRS).<br />

Because characteristics such size as are fairly stable over time,<br />

directly exploiting ERRS requires less turnover than following an<br />

API strategy. Nonetheless, optimal exploitation of ERRS, such as the<br />

size effect, still requires portfolio turnover, because small stocks<br />

should be emphasized at times and large stocks at other times.<br />

ANOMALOUS POCKETS OF INEFFICIENCY<br />

Return reversal relates to the concept of "noise" in security prices,<br />

that is, price movements induced by trading unrelated to fundamentals.<br />

The return-reversal effect has psychological underpinnings.<br />

Investors tend to overreact to world events and economic<br />

news, as well as to company-specific information. Moreover, technical<br />

traders exacerbate price moves by chasing short-term kends.<br />

,These types of behavior lead to overshooting and subsequent reve<br />

sion in stock prices.<br />

Another API relates to the earnings estimate revisi0.m of Wall<br />

Street security analysts. We refer to this as the "trends in analysts'<br />

earnings estimates effect," for reasons that will soon become app<br />

ent. Upward revisions in a stock's consensus earnings estimates<br />

generally are followed by outperformance, as are downward revisions<br />

by underperformance.

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