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Field notes
True or false. Compared to the rest of the year, January is the
month with the strongest stock market performance. The answer, called
the “January effect,” depends on three factors. The
first is the time period being considered when calculating average
monthly returns of a given portfolio of stocks. Second, as the January
effect is a portfolio rather than a specific stock effect, it depends
on the capitalization of the stocks in the portfolio. Third, not
every January witnesses a strong stock market performance. Instead,
the January effect is an average one. Let’s examine these
points in detail.
The
Figures accompanying this article show the returns of two portfolios
over three different periods. The first is tilted towards larger
stocks (Figure 1) and the other is tilted to smaller stocks (Figure
2). Both portfolios are from the Canadian Financial Markets Research
Centre at the University of Western Ontario for the period 1957
to 2003 and for sub periods 1957 to 1980 and 1981 to 2003. It is
obvious from these Figures that January is the strongest month for
both small and large cap stocks only in the 1957 to 1980 sub-period.
For 1957 to 2003 and 1981 to 2003, January is the strongest month
only for small cap stocks, with December being the strongest month
for large cap stocks.
However, even for the smaller cap stocks, a January effect does
not happen every year. Over the 47 years between 1957 and 2003,
there were 37 positive Januarys for small cap stocks and 10 negative
Januarys. The average monthly return of positive Januarys was 7.67%,
and for negative Januarys, -3.42%. Hence, we can see that the positive
Januarys tend to be very strong and the negative Januarys are very
weak.
While it is true that the January strength has been diluted somewhat
in recent years, spreading to November and December, a strong January
is still present. Moreover, this spreading out of the January effect
has given rise to an even stronger pattern, with stock markets realizing
almost all of their annual return over six months, from November
to April. Between May and October, the average stock market return
is close to zero, irrespective of the market cap of the portfolio.
This has given rise to the expression “Sell in May and go
away,” which is another very strong and predictable pattern.
Following the herd
But why do such predictable patterns exist and persist? The cause
of these patterns rests on individual investor biases in investment
behaviour and on conflicts of interest portfolio managers have when
they manage clients’ money. The investment decision-making
process is key. While we like to say that institutions make investments,
institutions do not actually make investment decisions—individuals
working for institutions make them. They have their own psychologies
and their own interests and agendas. This principal-agent relationship
induces portfolio managers to act on their own behalf, trying to
maximize their own wealth, as opposed to that of their clients.
Portfolio managers exhibit a human trait—herd mentality.
According to Bruce Greenwald of Columbia University, they feel safe
when their portfolios look like everyone else’s because no
one is likely to lose his or her job due to average performance
or for holding the same securities as the rest of the peer group.
Herding becomes more pronounced toward the end of the year when
portfolio managers window-dress to spruce up their portfolios, selling
stocks that have fallen in price and buying stocks and other securities,
such as government bonds that have done well and in the public eye.
At the same time, portfolio managers lock in good performance by
selling risky stocks they bought at the beginning of the year and
moving to lower-risk securities in order to secure their Christmas
bonus.
Window-dressing and remuneration-motivated portfolio rebalancing
are exacerbated by herding and affect the prices and returns of
financial securities throughout the year in a predictable way. On
average, risky stocks and high-risk bonds are bid up or down at
the beginning of the year or towards year-end. At the same time,
low-risk stocks and risk-free bonds are bid up or down towards year-end
or the beginning of the year. Notably, Government of Canada bonds
tend to exhibit weakness in the first half of the year and strength
in the second half of the year. The pattern repeats annually, mimicking
window dressing and/or the annual performance evaluation cycle of
portfolio managers.
However, portfolio managers would not invest in risky securities
indiscriminately, whether the year was a bull or bear market or
whether it was a recovery or a recessionary year. Portfolio managers
invest in risky securities when the year ahead is expected to be
good and withhold their investment from such securities if the year
ahead is forecast to be adverse. My research has shown that the
strength in risky securities at the beginning of the year is not
a sure thing, but largely depends on what institutional investors
think of the year ahead. This is also consistent with the popular
expression, “as January goes, so goes the year.” If
institutional investors are, on average, right when they expect
a recession or bear market in the year ahead, and they divest risky
securities at the beginning of the year when portfolios are rebalanced,
it is only natural to also expect risky securities to experience
weakness in January and in the months of the year that follow and,
as a result, for the year as a whole. This should not be the case
for risk-free securities. That is why not every January is a positive
one and why the month tends to be really strong when things turn
out well, and really bad when things go badly.
Such seasonal behaviour is difficult for the markets to fully
eliminate, for two reasons. First, it is related to window dressing
or remuneration-motivated turn-of-the-year portfolio rebalancing
by professional portfolio managers who pursue their own interest
year in and year out. Second, seasonality is not consistently observed
every year. Unless we have a unified theory to help us anticipate
seasonal behaviour on a regular basis, market participants can’t
fully arbitrage the seasonal behaviour of financial securities.
This is particularly true since professional portfolio managers’
survival is based on short-term performance metrics.
—George Athanassakos, professor of Finance and the Ben
Graham Chair in Value Investing, Richard Ivey School of Business,The
University of Western Ontario.
For a PDF version of this article,
click here.
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