Conclusions
Unless we
understand why a particular investment strategy works, we should be skeptical
about its out-of-sample performance. There are several competing hypotheses
concerning the profitability of contrarian strategies for short- or
long-horizon returns. However, there is a glaring lack of explanations for the
continuation in stock prices over intermediate horizons (short of sweepВing the
issue under the rug by relabeling the phenomenon as part of the
"normal" cross-section of expected returns).
This paper
fills in some of the gaps in our understanding of two major unresolved puzzles
in the empirical finance literature: why two pieces of publicly available
information ”a stock's prior six-month return and the most recent earnings
surprise ”help to predict future returns. The drift in future returns is
economically meaningful and lasts for at least six months. For example, sorting
stocks by prior six-month return yields spreads in returns of 8.8 percent over
the subsequent six months. Similarly, ranking stocks by a moving average of
past revisions in consensus estimates of earnings produces spreads of 7.7
percent over the next six months.
Our results are robust with
respect to how we measure earnings surprise: as standardized unexpected
earnings, abnormal returns around announcements of earnings, or revisions in
analysts' forecasts of earnings. In general, the price momentum effect tends to
be stronger and longer-lived than the earnings momentum effect.
The bulk of the evidence
suggests that the drifts in future returns are not subsequently reversed, so
momentum does not appear to be entirely driven by positive feedback trading.
The price continuations are particularly notable for stocks with the worst past
earnings performance, whose returns are below average for up to three years
afterwards.
There is stronger evidence
of subseВquent correction in prices when large, positive prior returns are not
validated by good news about earnings. In the first year following portfolio
formation, stocks ranked highest by prior return but lowest by abnormal
announcement return earn a rate of return (21.3 percent) that is not very
different from the average of 20 percent. The fact that returns for the past
winners are high only in the first subsequent year, but are not much different
from the average in the second or third years, poses a challenge for risk-based
explanations of the profitability of momentum strategies. More direct evidence
from a three-factor model also suggests that the profitability cannot be
explained by size and book-to-market effects.
An alternative explanation
is that the market responds gradually to new information. Since earnings
provide an ongoing source of information about a firm's prospects, we focus on
the market's reaction when earnings are released. Indeed, a substantial portion
of the momentum effect is concentrated around subsequent earnings
announcements. For example, about 41 percent of the superior performance in the
first six months of the price momentum strategy occurs around the announcement
dates of earnings. More generally, if the market is surprised by good or bad
earnings news, then on average the market continues to be surprised in the same
direction at least over the next two subsequent announcements.
Category: Daytrading
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