By |Published On: August 20th, 2014|Categories: Research Insights|

Yes, it is true, lower risk securities have historically outperformed higher risk securities. We’ve seen this in a variety of academic research pieces, but sometimes you gotta grind the data on your own to really understand and get comfortable with the results. A recent paper and this paper and some of our own internal research has suggested that the “low vol” anomaly might be bunk. We are on a data adventure to get to the bottom of this anomaly…

Legend:

  • Col 1 = high idiosyncratic stocks, monthly rebalanced, equal-weight, mid/large cap only, 1927 to 2013
  • Col 2 = high beta stocks, monthly rebalanced, equal-weight, mid/large cap only, 1927 to 2013
  • Col 3 = low idiosyncratic stocks, monthly rebalanced, equal-weight, mid/large cap only, 1927 to 2013
  • Col 4 = low beta stocks, monthly rebalanced, equal-weight, mid/large cap only, 1927 to 2013

The chart below is part of a larger study we’ll be sharing in the near future (click to enlarge):

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

In the meantime, gleam over the numbers.

There is definitely a counter-intuitive relationship between risk and return. Higher risk, lower return; lower risk, higher return.

The difference between IVOL and BETA are trivial and highly correlated (90%+).

But are these spreads robust? Are they other anomalies in drag? We are going to find out…

About the Author: Wesley Gray, PhD

Wesley Gray, PhD
After serving as a Captain in the United States Marine Corps, Dr. Gray earned an MBA and a PhD in finance from the University of Chicago where he studied under Nobel Prize Winner Eugene Fama. Next, Wes took an academic job in his wife’s hometown of Philadelphia and worked as a finance professor at Drexel University. Dr. Gray’s interest in bridging the research gap between academia and industry led him to found Alpha Architect, an asset management firm dedicated to an impact mission of empowering investors through education. He is a contributor to multiple industry publications and regularly speaks to professional investor groups across the country. Wes has published multiple academic papers and four books, including Embedded (Naval Institute Press, 2009), Quantitative Value (Wiley, 2012), DIY Financial Advisor (Wiley, 2015), and Quantitative Momentum (Wiley, 2016). Dr. Gray currently resides in Palmas Del Mar Puerto Rico with his wife and three children. He recently finished the Leadville 100 ultramarathon race and promises to make better life decisions in the future.

Important Disclosures

For informational and educational purposes only and should not be construed as specific investment, accounting, legal, or tax advice. Certain information is deemed to be reliable, but its accuracy and completeness cannot be guaranteed. Third party information may become outdated or otherwise superseded without notice.  Neither the Securities and Exchange Commission (SEC) nor any other federal or state agency has approved, determined the accuracy, or confirmed the adequacy of this article.

The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. Our full disclosures are available here. Definitions of common statistics used in our analysis are available here (towards the bottom).

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