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Perspective on Premiums Thumbnail

Perspective on Premiums

Investors may be tempted to extrapolate recent returns into the future, which can lead them to abandon their investment philosophy at potentially inopportune times. While negative outcomes are disappointing, investors should view them with the proper perspective and stay the course.

When you leave your server a tip, do you round it to a whole-dollar amount and often in multiples of $5? Does a 60th birthday seem more significant than a 59th? If you answer yes to these questions, you’re not alone. Most of us prefer round numbers.

This preference leads many investors to review results by calendar year and to consider 10-year periods when evaluating long-term returns. People tend to place greater emphasis on the latest period due to recency bias and to extrapolate recent results into the future. For these reasons, we should put recent performance into the proper perspective.

During the most recent 10 years, equity investors have generally fared well, with the MSCI All Country World Index (IMI) earning an annualized return of 10.32% through 2018. Within equities, small cap stocks and higher profitability stocks have generally delivered outperformance relative to the market, but the underperformance of value stocks has garnered a lot of attention. Value investors may feel somewhat disappointed, as the MSCI All Country World Value Index (IMI) underperformed the market, delivering an annualized 9.23% over the same period.

We expect positive market, size, value, and profitability premiums,1 but also recognize that realized premiums are volatile and can sometimes be negative. Although a negative premium can be disappointing, it is not unprecedented—and we can look at historical data to gauge how often each premium has been negative.

For example, Exhibit 1 shows the frequency of experiencing a negative premium in the US over rolling 1-, 5-, and 10-year periods as far back as the data are available. As you can see, negative premiums occur from time to time. While the odds of realizing a positive premium are never guaranteed, they are decidedly in your favor and increase the longer you stay invested.

This analysis looks at each premium individually. What if you integrate all four premiums in pursuit of higher expected returns? A different approach is to calculate the frequency that one, two, three, or all four of the premiums were negative over rolling 10-year period from July 1963 to December 2018. As shown in Exhibit 2,

Percentage of rolling 1-, 5-, and 10-year periods with negative premiums is calculated using monthly return data from June 1927 to December 2018 for market, size, and value, and from July 1963 to December 2018 for profitability. Market: Fama/French Total US Market Research Index minus the One-Month US Treasury Bill. Size: Dimensional US Small Cap Index minus the S&P 500 Index. Value: Fama/French US Value Research Index minus the Fama/French US Growth Research Index. Profitability: Dimensional US High Profitability Index minus the Dimensional US Low Profitability Index. Profitability is measured as operating income before depreciation and amortization minus interest expense scaled by book. One-Month US Treasury Bills is the IA SBBI US 30 Day TBill TR USD provided by Ibbotson Associates via Morningstar Direct. Dimensional indices use CRSP and Compustat data. Past performance is no guarantee of future results. Indices are not available for direct investment; therefore, their performance does not reflect the expenses associated with the management of an actual portfolio. Fama/French indices provided by Ken French. Dimensional and Fama/French index definitions are available in the appendix. S&P data © 2019 S&P Dow Jones Indices LLC, a division of S&P Global.

periods when one of the four premiums was negative like the most recent decade—occurred in almost half of the rolling 10-year periods. However, the premiums do not move in lockstep, so there were relatively few instances of two negative premiums and virtually no instances of three or four negative premiums.

In all likelihood, any premium that doesn’t materialize will get called into question. Plenty of ink will be spilled over scrutinizing the one that had the bad draw, even if that’s all it was. The US value premium has been under the microscope lately, but the other premiums have had  their turn historically.

From an empirical perspective, a negative 10-year premium is not so far outside the range of outcomes to suggest that the premium no longer exists. More importantly, we have a sensible framework for expecting positive size, value, and profitability premiums. That framework is valuation theory, which posits that a stock’s price reflects the company’s expected future cash flows discounted to present value. The discount rate equals an investor’s expected return. Therefore, as long as stocks have different expected returns, those with lower prices and higher expected cash flows should have higher expected returns. This framework holds regardless of whether realized premiums have been positive or negative in the recent past.

Number and percentage of rolling 10-year periods with one, two, three, and four negative premiums are calculated using monthly return data from July 1963 toDecember 2018. Past performance is no guarantee of future results. Indices are not available for direct investment; therefore, their performance does not reflect the expenses associated with the management of an actual portfolio. See Exhibit 1 for the definition of the premiums and data source.

Exhibit 3 confirms that premiums have, on average, been positive after periods of underperformance, although the data show a wide range of outcomes. In this analysis, we identify the rolling 10-year periods when a premium was negative and then observe how the premium behaved over the following 10 year. Profitability is excluded because there are only two data points.

Despite compelling theoretical and empirical evidence supporting the premiums, investors may be tempted to extrapolate the recent past into the distant future, which can lead them to abandon their investment philosophy at potentially inopportune times. Maintaining discipline and sticking to the plan are vital. The performance of premiums in the recent past doesn’t tell you much about future premiums. So, if your goals haven’t changed, then your asset allocation likely doesn’t need to change.

Furthermore, premiums can materialize quickly, and you want to be properly positioned to capture the returns when they show up. The period leading up to and shortly after the start of the 21st century provides an extreme, albeit anecdotal, example. Exhibit 4 shows the performance of the Russell 1000 Growth and Value indices. Growth beat value over every trailing period from 1 to 20 years ending March 31, 2000. Consequently, many investors found themselves questioning a value strategy, meaning they wondered if expected returns were still related to the price paid for a stock in the so-called “new economy.”

Past performance is no guarantee of future results. Indices are not available for direct investment; therefore, their performance does not reflect the expenses associated with the management of an actual portfolio. Frank Russell Company is the source and owner of the trademarks, service marks, and copyrights related to the Russell Indexes

Past performance is no guarantee of future results. Indices are not available for direct investment; therefore, their performance does not reflect the expenses associated with the management of an actual portfolio. Frank Russell Company is the source and owner of the trademarks, service marks, and copyrights related to the Russell Indexes.

Investors who capitulated to this line of reasoning may have regretted their decision a mere 12 months later because the value index strongly outperformed the growth index, as illustrated in Exhibit 5, over every trailing period from 1 to 20 years, ending March 31, 2001. The moral of the story? Negative outcomes are disappointing, but investors should view them with the proper perspective and stay the course!

APPENDIX

Fama/French Total US Market Research Index: The value-weighed US market index is constructed every month, using all issues listed on the NYSE, AMEX, or Nasdaq with available outstanding shares and valid prices for that month and the month before. Exclusions: American Depositary Receipts. Sources: CRSP for value-weighted US market return. Rebalancing: Monthly. Dividends: Reinvested in the paying company until the portfolio is rebalanced. Fama/French US Value Research Index: Provided by Fama/French from CRSP securities data. Includes the lower 30% in price-to-book of NYSE securities (plus NYSE Amex equivalents since July 1962 and Nasdaq equivalents since 1973). Fama/French US Growth Research Index: Provided by Fama/French from CRSP securities data. Includes the higher 30% in price-to-book of NYSE securities (plus NYSE Amex equivalents since July 1962 and Nasdaq equivalents since 1973). Dimensional US Small Cap Index: Created by Dimensional in March 2007 and compiled by Dimensional. It represents a market capitalization-weighted index of securities of the smallest US companies whose market capitalization falls in the lowest 8% of the total market capitalization of the eligible market. The eligible market is composed of securities of US companies traded on the NYSE, NYSE MKT (formerly AMEX), and Nasdaq Global Market. Exclusions: Non‑US companies, REITs, UITs, and investment companies. From January 1975 to the present, the index also excludes companies with the lowest profitability and highest relative price within the small cap universe. Profitability is measured as operating income before depreciation and amortization minus interest expense scaled by book. Source: CRSP and Compustat. The index monthly returns are computed as the simple average of the monthly returns of 12 sub-indices, each one reconstituted once a year at the end of a different month of the year. The calculation methodology for the Dimensional US Small Cap Index was amended on January 1, 2014, to include profitability as a factor in selecting securities for inclusion in the index.    

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