We last talked about standard deviation, which can be used as a
measure of risk. I will spend just a little more time on the
concept to introduce the magic of statistics.
One other concept to be aware of is that of correlation. Simply
put, it's a measure of how closely two investments track one
another. The unit of measure is the correlation coefficient, which
can vary in magnitude from 0 (not correlated at all) to 1 (exactly
tracking).
I won't grind through the math here, but it turns out that if you
combine 2 uncorrelated investments (rebalancing often) then the
risk (standard deviation) will go down by about 30%. Combining 4
reduces it about 50%. This is powerful stuff. It says that if you
can find a handful of high return but high risk investment options,
but they have a low correlation to one another, you can have your
cake (the high returns) and eat it too (the total portfolio risk is
reduced).
It's this idea that forms the basis of the advice to balance your
investments between stocks and bonds, as bonds have a very low
correlation to stocks, and with a 75/25 ratio of stocks to bonds
you get almost the same return as stocks alone, but with much lower
total risk.
The problem is that most equity investments are somewhat correlated
to the market, and within a sector they are correlated to one
another. That's why the advice to get at least 8 stocks from
unrelated industries in your portfolio, since if they were
uncorrelated 8 stocks would reduce the overall risk by almost 2/3.
The problem is that there are not that many opportunities to find
uncorrelated stocks.
There they have posted a correlation tool. You can put in 2
Fidelity funds, and it will give you the correlation coefficient
between the two. See how many you can find that are not correlated
to one another (under .2 is great, under 0.4 at a minimum).
Remember, if you have 4 funds you are looking at, you need to look
at 6 correlation factors, if you have 5 funds you need to look at
10, 6 funds your need to look at 15, and so on. It gets
complicated in a hurry.
(Note: This tool used to be freely accessible, but it looks like
you need to be a subscriber to see it now.)
(Here's a clue, start with Real Estate and Select Natural Resources)
Since you won't find that you can find a large number of funds that
have a really low correlation to one another, you may wonder how
you calculate the total risk (standard deviation) for funds that
have a non zero correlation. It turns out you have to just
simulate it, there's not an easy way to calculate it.
In summary, what we really need to build a high performance low
risk portfolio is simply a 4 to 8 funds with high returns,
relatively low risk, and low correlation between them. Why doesn't
everyone just do that? As we'll see next, that's easier said than
done.
Next time: We take a look at using simple correlation to actually reduce risk without sacrificing investment returns.
If you'd like to dig into this concept more, I'd really recommend
the book "The Intelligent Asset Allocator" that we discussed last
time. It's really an easy read given that he's covering such a
geeky subject.
You can buy it at Amazon at