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At the start of
every new year, we get bombarded with various methods to predict the
returns for the year. Everyone likes to start fresh in January and
look forward to what the new year may hold, so this month more than any
other brings out the inner forecaster.
Last week, we looked at the historical performance of years ending
in "0" and found that there is some truth to the idea that the first
year of a decade tends to perform poorly (and the first two quarters
especially). Now let's look
at the January Barometer, the idea that however January performs, the
rest of the year tends to follow. In other words, if January shows
a positive return, then the rest of the year should too, and vice versa. The table below
shows the forecasting power of each month. What we're looking at
is how often each month's return predicted the return of the following
11 months.
Well, it turns out that January was pretty good, accurately forecasting
the next 11 months nearly 70% of the time since 1928.
If January closed in positive
territory, then over the next 11 months the average maximum gain in the
S&P 500 was +14.8%, compared to an average maximum loss of only -6.4%.
It wasn't all hearts and flowers - there were 7 years where the S&P
dropped at least -20% during the year - but at least there were 15 years
where it rallied at least +20%.
If January closed in negative
territory, then over the rest of the year the S&P averaged a maximum
gain of +8.1% versus an average maximum loss of -12.5% (uhh, that's not
good). Only 2 of these years showed a rally of at least +20%
during the next 11 months, and there were 6 of them that showed losses
of at least -20%.
So is January a good barometer? I'm sure there are some
statistical rules that would suggest anything we're looking at here
could just be a fluke, but empirically we have seen that when January is
positive, then the rest of the year performs much (much!) better than
when it is negative.
No other month really stood out from the pack...except for October.
That one was the poorest of the bunch, giving an accurate prediction
only 48% of the time. That's not a big surprise, really, given
October's historical tendency for extremely volatile moves and
higher-than-average tendency to see major market sell-offs and rebounds.
Jason
Goepfert Founder,
Sundial Capital Research, Inc.
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