One of my favorite graphics is this “periodic table” - periodic in the sense that it shows asset class performance on an interval basis. Not only is it colorful, but it tells a big story. The moral of the story is simple - diversify across global markets and invest for the long-term.
After investors understand what they’re looking at, they usually do two things. First, they look to see the top performers and attempt to confirm that their past beliefs were correct. Second, they usually look to establish a pattern over the years. It’s human nature to look for patterns. Something about the appeal of symmetry causes us to seek a familiar trend, even amid complete randomness. Volatility and unpredictability becomes a bit more visible in this graph, and going back over longer time periods would show even more random behavior.
(To read these charts, look at the asset classes on the left, then follow the color code throughout the returns data - this will show how each asset class stacks up.)

If Randomness persists, what is the solution? In this next table, we sort the asset classes from the highest to lowest growth of wealth, over the same 9-year period. If one had held only Emerging Markets for the last 9-years, one would have had the highest annualized return, the second highest risk profile, and the second worst growth of wealth total return.

There are many ways to analyze this data, but what we hope to illustrate is that even a simple portfolio construction of equally weighted asset classes beat 7 out of 11 asset classes over this time period. When faced with moderate returns and moderate risk, investors often snub the idea since people tend to be competitive and want to be the best (which often means taking more risk). In the long-term, a well-constructed portfolio that delivers consistent “middle of the road” returns, along with calculated risk, would almost certainly outperform individual asset classes. The reason is that such a strategy enables investors to capture all of the return premiums provided by the market. Putting such a portfolio together is not difficult; it is our human element that is difficult to control. Discipline may be boring and may feel restrictive, but it is at the core of what helps us achieve our personal benchmarks.
We have data on longer time periods, please contact us if you’d like more information.
Disclosures:
This matrix shows annual total returns per asset class, starting 11/2000 and ending 10/31/2009. Returns data is provided by the Center for Research on Security Prices (CRSP). While data is retrieved from sources believed to be reliable, McLean Asset Management Corporation can not guarantee the accuracy of this data. One cannot invest directly in an index. No investor earned the exact returns displayed. Past Performance is not an indicator of future performance.
Indexes used:
US Large Market = S&P 500
US Large Value = Russell 1000 Value
US Small Market = Russell 2000
US Small Value = Russell 2000 Value
US Micro Cap = Russell Microcap
US REIT = DJ Wilshire REIT Index
Emerging Markets = MSCI EAFE Emerging Markets
Intl Large Cap Market = MSCI EAFE Index
Intl Large Cap Value = MSCI EAFE Value Index
Intl Small Cap Market = MSCI EAFE Small Cap Index