Combining multiple investment factors may be a “smarter” approach to smart beta. For investors seeking stock
exposure, without a specific need for any single factor, blending investment factors could make sense. When
identifying drivers of long-term stock returns, two factors with a lot of academic support for outperformance
are value and momentum (Reference: Fama-French Research, University of Chicago Booth School of Business).
Value strategies attempt to identify stocks that seem underpriced relative to their actual financial characteristics.
Whereas, momentum strategies try to identify stocks exhibiting the strongest positive price movement with little
regard to company valuations. It’s easy to understand why these two factors may complement one another.
One
approach tries to find diamonds in the rough while the other focuses on the high fliers.
Of course there is also the question of quality. Value factors have an element of quality screening, but may have
difficulty in determining undervalued stocks from stocks that are low for reasons other than the balance sheet.
Momentum factors are somewhat quality agnostic in that they have little regard for the quality of a company,
favoring the stock’s price movement instead. Again, this explains why these two factors complement one
another.
But perhaps an even “smarter beta” approach would be to apply a quality screen to the entire universe of
stocks while also assessing the value and momentum characteristics.
Quality can be subjective and determining
a good company from a great one can be
difficult—but identifying the bad ones may
be easier. As an analogy, the illustration to
the right shows several apples. It would be
hard to say which of the apples would make
the best pie.
Many of the apples have similar
traits such a rich color, smooth texture
and a bright shine. But before selecting the
ones to use in a pie, it would at least make
sense to throw out the bad ones. There is no
guarantee that the remaining apples will
always give the best result, but having basic
quality standards is at least a logical starting
point.
A similar philosophy can be used for stock
selection.
Quality stocks tend to have
certain traits in common, such as earnings
consistency and a good track record of
dividend payments. Of course there is no way
to tell how well a seemingly good company’s
stock will perform, but looking for an
indication of quality and corporate stability
may provide some initial benefit.
If single factor strategies are called smart
beta, then perhaps combining multiple
factors with a quality screen may be
considered smarter beta? A blended approach
may lead to the exclusion of the deepest
value stocks or some of the fastest moving
momentum stocks, but it may also help to
avoid a few bad apples along the way.
Past performance is no indication of future returns. All investment methodologies have risks, both general and
product-specific, including the risk of loss of principal.
No investment strategy can guarantee superior performance in all
market environments. Always read the prospectus or offering memorandum before making any investment.The information
provided is intended to be general in nature, not specific to any product or investor profile, and should not be construed as
investment advice. This information is subject to change at anytime, based on market volatility and other conditions, and
should not be considered as a recommendation of any specific security.
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