When investing in financial instruments, we use the word “risk” to refer to the uncertainty of the ultimate outcome, or the “return.” As with other forms of investing, the higher the risk, the greater the return we expect to earn, but like a double-edged sword, risk cuts both ways. The higher the risk, the greater the possibility you might lose money. Because risk and return are so inextricably linked, investors should spend just as much effort (if not more) on controlling risk as they do seeking return.
Standard Deviation is a measure of volatility that expresses how much a particular investment’s returns on average depart from its average return (both positively and negatively). For investments that have regular, measurable returns it is the predominant statistic used to express the risk of an investment.
The chart below shows the average standard deviation of various portfolios of stocks that have been randomly chosen from the Standard & Poors 500 Index. The primary difference between the portfolios is the number of stocks included. The chart illustrates dramatically how quickly the volatility of portfolio returns can be reduced through diversification.
Portfolio construction can be likened to building a complex machine, like an automobile. Like a car, it is made of hundreds of individual parts, each with its own purpose. Some parts are intended to provide forward momentum, others are there for safety. For the first cars, each part was custom made at great cost because there were no suppliers for individual parts. As the auto industry matured, part suppliers specializing in individual components proliferated and competition forced innovation as well as price declines.
Modern car manufactures now produce a superior product at a lower price by engineering it with mass produced parts from the best outside suppliers. The same is true in modern portfolio construction. There are now thousands of individual funds focusing on each specialized market segment. A skilled “engineer” can now find the best possible management for each piece in order to build a superior portfolio that is far less expensive than the custom built ones of a just a few decades ago.
This type of portfolio engineering is possible because the mutual fund industry has become mature and well established. Numerous commercial databases exist that allow professional investors to compare, rank and discover mutual funds with a dizzying array of managers, fund companies, investment strategies, countries and markets. Professional investors have access to the skilled managers around the globe and can analyze funds to find those that provide the best return, risk and cost characteristics for each client portfolio’s specific needs.
The wealth of information available on mutual funds is mainly due to the investment and disclosure requirements imposed on fund issuers by the various government regulatory organizations overseeing them. The highly regulated nature of the global mutual fund marketplace makes it one of the safest, most efficient and transparent ways to invest.
Added to the above benefits are two more layers of diversification: manager risk and company risk. By spreading a portfolio’s investments out among different companies, the risk associated with any single company or bank’s operations is greatly limited.
In 1986, Gary P. Brinson, L. Randolph Hood, and Gilbert L. Beebower (BHB) published a, now infamous, study on the effects of asset allocation on investment return. A popular sound-bite that arose from the BHB study was some variation of, “over 90% of return comes from asset allocation.” Although catchy, this subtly clouds the truth as the more correct take-away from the study would have been that over 90% of return is due to the amount of risk in a portfolio.
How much risk an investor is willing to tolerate in their quest for return will determine the lion’s share of their Asset Allocation. Often confusion arises because “allocation” actually occurs on multiple levels in the portfolio building process. The figure to the right shows some of the major portfolio allocations that normally occur. The complexity of each level of allocation tends to increase as you move up the pyramid, requiring higher degrees specialized information and in-depth knowledge and experience.
In addition, employing multiple managers also provides another layer of diversification by limiting the investor’s exposure to the credit risk inherent in the individual investment companies.
Care should be taken to identify managers with an identifiable skill to outperform the passive benchmark appropriate to their specialized market segment net of fees. Morningstar’s fund database currently tracks over 150,000 global open ended mutual funds making this a daunting task for individual investors without the help of a knowledgeable investment advisor with the knowledge, skill and resources to wade through the vast amount of data.
Standard Deviation is a measure of volatility that expresses how much a particular investment’s returns on average depart from its average return (both positively and negatively). For investments that have regular, measurable returns it is the predominant statistic used to express the risk of an investment.
The chart below shows the average standard deviation of various portfolios of stocks that have been randomly chosen from the Standard & Poors 500 Index. The primary difference between the portfolios is the number of stocks included. The chart illustrates dramatically how quickly the volatility of portfolio returns can be reduced through diversification.