What is Smart Beta?

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In March 19, 2014
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There has been a lot of talk recently about smart beta —and some of you may be wondering what it is. First, let’s take a quick look at what defines “beta.”

Beta is a measurement of the volatility of an investment compared to the market. An investment with a beta of 1 is, in theory, delivering the same volatility and performance experience as the market.

Consider that the majority of indexes dominating the investment landscape tend to be market capitalization-weighted (and remember that you cannot invest directly in an index). The very first exchange-traded funds (ETFs)—and the majority of those that followed—were created as a way to get the “index” investment experience. Since these capitalization-weighted indexes are considered “the market,” the ETFs that passively mirror them are considered “beta,” as their goal is to track the performance of indexes that are themselves designed to measure the performance experience of “the market.”

So, you may be wondering, if market capitalization-weighted ETFs are beta, what is smart beta?

Some define smart beta as simply any type of index that is not market capitalization-weighted. Others may define it as investments that apply unique screens or alternative weighting methodologies to existing indexes. In our opinion, the smart beta approaches attracting the greatest attention include:

• Equal-Weighted Indexes: Components are often selected from established indexes such as the S&P 500 Index, but are equally weighted so that all components have identical weights when rebalanced.

• Fundamentally Weighted Indexes: Components are selected to provide broad exposure to an equity market based on market capitalization, but companies are weighted by a fundamental factor such as aggregate dividends or earnings.

• Factor-based Indexes: Components are selected based on one or more fundamental factors and are weighted based on one or more fundamental factors. Factor-based Indexes can also be modified equal weighted, where stocks are first divided into tiers based on certain factors, and then equal weighted within the tiers.

• Low Volatility Indexes: Components are selected because they have exhibited lower volatility than the overall stock market and/or are weighted based on their historic volatility.

Managers who use these methods to create portfolios are, in effect, combining elements of active and passive investing by actively creating portfolios, which may then be passively or more actively managed on a day-to-day basis.

So, from our perspective, the difference between “beta” and “smart beta” may be the idea that smart beta seeks to provide an exposure with the potential to outperform the market, isolate or accentuate a certain characteristic of the market, or generate better risk-adjusted returns than the market, rather than merely measure the performance of all investable stocks in an equity market.

In 2013, U.S.-listed ETFs tracking non-market-cap weighted indexes gathered $65 billion, or nearly one-third of new net inflows. According to a new study conducted by Cogent Research, a division of Market Strategies International, more than half (53%) of institutional decision makers will increase their use of smart beta ETFs over the next three years—that’s more than any other ETF category, including market-cap weighted ETFs (48%).

Now, while we don’t believe smart beta is a trend, we do believe that investors should beware of asset managers and investments that may be jumping on this bandwagon—capitalizing on smart marketing rather than smarter investment methods.

In our opinion (which we totally agree with Wisdomtree), when it comes to identifying smart beta ETFs, investors should look for:

• A rules-based, repeatable methodology that offers broad, representative exposure to an asset class

• Alternative weighting methods that allow for ample investment capacity

• High correlation to established benchmarks

• Regular rebalancing

• A proven track record on a total and risk-adjusted return basis

Also, one should keep in mind as to what factors might be driving the results of the smart beta indexing stratgies. Various factors could include the following:

  • Market risk
  • Size exposure
  • Value tilts
  • Momentum tilts

(Source: WidsomTree)