BEING STREET SMART
by Sy Harding
New Academic Study Says Seasonality Triples Market Returns Over Long-Term!
Twice a
year, in April and October, I remind you of the market’s remarkable seasonality,
the popular version of which is known as ‘Sell in May and Go Away’. It calls for
getting out of the market on May 1st each year and back in on
November 1st.
As with most investment strategies, most investors have only
short-term thoughts regarding it. If it worked out the previous year or two,
“Well just maybe I’ll consider it for next year.” And if it didn’t work out the
previous year then clearly it’s either just a silly theory, or a strategy that
may have worked in the past but the pattern has obviously come to an end.
And like all strategies, especially buy and hold, it doesn’t
work in every individual year. But it doesn’t have to in order to produce
remarkable outperformance over the long term. That’s because in years when the
market makes more gains in the unfavorable season when a seasonal investor is
out, the seasonal investor doesn’t have a loss, but merely misses out on
additional gains. But when the market does have a correction in the unfavorable
season, its losses can be well into double-digits, which the seasonal investor
avoids.
It’s a shame more investors don’t take the time to obtain
the facts.
The seasonal effect is so pronounced that investing based
solely on those calendar dates succeeds in the difficult task (even for
professionals) of outperforming the market. And it does so while taking only 60%
of market risk, a very important consideration.
You don’t have to take my word for it. Independent academic
studies provide indisputable proof.
For instance, a 27 page academic study published in the
American Economic Review in 2002 concluded,
“Surprisingly we found this inherited
wisdom of Sell in May to be true in 36 of 37 developed and emerging markets.
Evidence shows that in the U.K. the seasonal effect has been noticeable since
1694. . . . The risk-adjusted outperformance ranges between 1.5% and 8.9%
annually depending on the country being considered. The effect is robust over
time, economically significant, and unlikely to be caused by data-mining.”
And a new 54-page study by Ben Jacobsen and Cherry Y. Zhang
at Massey University in New Zealand, was just released a few days ago. It’s
titled The Halloween Effect: Everywhere And All The Time. It refers to the
‘Sell In May’ pattern as the ‘Halloween Effect’, selling May 1 and re-entering
the day after Halloween, October 31.
It confirms and adds to the findings of previous studies. A
few quotes from it: “Observations over 319
years show November through April returns are 4.5% higher than summer returns.
The effect is increasing in strength. Over the last 50 years the difference
between the two periods is 6.2%. It does not disappear after discovery, but
continues to exist even though investors may have become aware of it. . . . It
is significant in 35 countries . . . stronger in Europe, North America, and Asia
than in other areas. . . . The odds of the strategy beating the market are 80%
for horizons over 5-years, and 90% for horizons over 10-years, with returns on
average of around three times higher than the market.”
I’ve always given credit for the discovery and coining of
the phrase ‘Sell in May and Go Away’ to researchers in the 1970’s. But this new
study reports “a mention of the market
wisdom “Sell in May” in the May 10, 1935 issue of the Financial Times, and the
suggestion that at that time it was already an old market saying.”
But the market obviously does not roll over into a
correction exactly on May 1 each year, or begin a new favorable season rally on
November 1 each year.
So the Street Smart Report seasonal strategy, developed in
1998, incorporates the MACD technical indicator (Moving Average
Convergence/Divergence) to more closely identify the seasonal exits and
re-entries.
It is a significant improvement over the basic Halloween
Indicator. Under its rules an exit signal can come as early as April 16, but
will be delayed if MACD remains on a buy signal at the time. In the fall, the
re-entry can take place as early as October 20, but will be delayed if MACD is
on a sell signal at the time. Of interest as we enter October, its re-entry
signals have been as early as October 20, but also as late as November or even
early December.
Mark Hulbert, of Hulbert Financial fame, has been tracking
various versions of seasonal timing strategies since mid-2002. In an update in a
current article on MarketWatch,
the Halloween Indicator he reports that the Street Smart Report
version of seasonal timing has gained an average of 8.5% annually since
mid-2002, compared to the Halloween Indicator’s average annual gain of 6.9%, and
the market’s average gain of 5.7%, and while taking only 60% of market risk.
This year, seasonality seemed to be working out right on the
button when the Dow topped out on May 2 and by June 4th the S&P 500 was down
9.1%. But the big rally off the June low has the Dow now recovered and 2% above
its May 1 peak. So this might be one of those years when seasonality does not
work out.
And yet, with at least the Street Smart Report’s seasonal
signals out of the unfavorable season sometimes coming as late as late November,
there’s still plenty of time for a correction first, before a favorable season
rally to new market highs by next spring.
Either way,
investors would do themselves a big favor by checking out the facts about
seasonality. Click here to read the latest independent academic study
http:/ssrn.com/abstract=2154873
Sy Harding is president of Asset Management Research Corp, and editor of www.StreetSmartReport.com, and the free market blog, www.streetsmartpost.com. He can also be followed on Twitter @streetsmartpost
Editors: You are welcome to quote from this article, or use it in its entirety, in your publication or on your website, as long as the credit in the above paragraph is also included. Readers are also welcome to e-mail, or print and snail-mail it to friends.
These reports reflect our opinions and are based on our best judgment, but no warranty is given or implied as to their accuracy. Past performance does not guarantee future performance.
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