Is Modern Portfolio Theory Out-of-Date?
May 18, 2010 by Brian Campos
Filed under Commentary, Investment Planning
The investment landscape has seen some major changes in the last two decades. Financial and technology companies came and went, stock market values soared, plummeted and rebounded, housing derivatives blew up, and other foundations were laid bare. Even the bedrock of investing theories related to portfolios has come under duress. Yet the belief in Modern Portfolio Theory has remained robust amongst the investing public. Should it?
A basic understanding of Modern Portfolio Theory is helpful. According to the recent Dalbar study we’ve referenced before, Modern Portfolio Theory (MPT)…
“Is grounded in the observation that asset classes are predictably uncorrelated. MPT is based on the theory that risk can be mitigated by diversifying into uncorrelated asset classes. However, unless the correlations of the various asset classes are predictable, the mitigation of risk is lost.
Investors expect to be rewarded for the level of risk they are taking in a particular market. Investment results in 2008 showed clearly that correlation of asset classes varied unpredictably and with no warning. This brings into question the very basis for MPT and its ability to forecast an efficient frontier.”
Modern Portfolio Theory is almost 60 years old. In a 1952 paper and 1959 book, Portfolio Selection, future Nobel laureate Harry Markowitz expounded MPT for the investment world. Markowitz used mathematics to explain the relationship of risk to return as it relates to asset allocation. He agreed that higher expected returns necessarily increased the risk in a portfolio. However, he proved that asset classes acted differently during a market cycle and discussed how portfolios can be constructed to match investor risk tolerance and expected returns.
In its short history, MPT has come under question from various directions. For one, MPT assumes that investors are always rational and risk-averse. While Markowitz and other PhDs in Economics may fit that description, most investors do not (see behavioral finance). That’s why it’s important to match your portfolio with your appropriate risk profile. You must also modify your risk appetite as you and your portfolio grow older and circumstances change.
Second, MPT assumes all investors have access to the same information at the same time. This simply isn’t right. Even if you watch CNBC while the market is open and troll the blogs during the rest of your waking hours, you won’t have the same information in the same timely manner as many professionals. This can be a huge missing piece to your strategic investment puzzle.
Another assumption of MPT is that investors accurately understand what returns are possible. This is often not the case and is why many investors often need help from money managers. Professionals are more likely to understand real-world limitations of Modern Portfolio Theory.
As the Dalbar study explains:
“The Achilles’ heel of MPT is that it simply cannot be reduced to a mathematical model or relied upon as the sole basis for the management of investment decisions. Instead, it should be thought of as only one reference point for modeling the behavior of a potential portfolio; it is only one dimension of a more comprehensive investment management process.”
In other words, Modern Portfolio Theory as an investment strategy is fundamentally incomplete. The markets of the last decade have provided such evidence. However, as a foundation upon which to build a strategy, it still can be of great benefit.
Whether you’re working with a money manager or constructing your own portfolios, it’s important to understand the appropriate risk/return relationship. In addition, it is worthwhile to address how various asset classes affect the risk and return of your portfolio over time. Going all in on “short Thailand” may work once, but it’s hardly a long-term investing strategy.


I have a bit of dissent about the first part of this article. As far as I’ve seen, MPT is a good theory, but the inputs to it are unknowable. For example, future correlations are needed, but the only inputs we have are past correlations. Different levels of risk aversions are OK, they define the investor’s utility curve which in turn determines the actual portfolio chosen.
From what I’ve seen, the main limitations are
1) Risk is determined by standard deviation; doesn’t account for asymmetrical returns exhibited by alternative assets
2) The universe of assets also includes illiquid securities with inexact pricing
3) It’s impossible to know future correlations
[...] Nor is the equity risk premium (and risk itself) the only concept in academic finance under debate. The entire concept of portfolio theory is also being examined more closely. While the math of portfolio theory continues to hold, its practical use and implementation are now coming into question. It is beyond the scope of this post to discuss modern portfolio theory, but we noted in earlier linkfests pieces at Institutional Investor an Invest With An Edge. [...]
There is no requirement for ‘future correlations’ in MPT. Perhaps you are confusing the term Expected Returns with a need for future return data (obviously not available). Expected Returns can be generated in a number of ways such as calculating average historical returns.
Alternative assets (many of which have no investment value) may not be appropriate to include in MPT analysis. Since they pay no dividends and there is no cash flow, estimating future returns is far more difficult than with equities.
MPT, while ground-breaking when Markowitz postulated it, is no silver-bullet. Regardless, calculating the correlations (MPT’s basic tenet) among the securities in a portfolio is a great way to quantify the degree of portfolio diversification. Also, correlations can vary over time.
The web site Low-Risk-Investing.com has a great tool for automatically calculating the risk, returns and correlation of a basket of securities for any time period.
Jake
Low-Risk-Investing.com