It can be discouraging when an active manager’s short-term up capture isn’t on par with their long-term up capture. But this is a side effect of the measuring and using averages for risk/return metrics, returns, and the like. Averages naturally mask individual discrepancies and may produce misleading expectations. While averages are useful, it is important to remember their limitations.
Let’s take a look at how averages can mask individual variations by looking at the S&P 500. Between 1971 and 2017, the S&P 500 averaged an annual return of 10.68%. Across those 47 years, there was only one year that had a return near the average 10.68% return: In 2004, the S&P 500 had a return of 10.88%. In fact, there were only three years out of those 47 where the S&P 500 was within +/- 2% of its long-term average. In that span, the highest return was +37.58% (1995) and the lowest was -37.00% (2008). Individual year returns fell far and wide between those two bookends.
An average return is just that—an average. Inevitably some numbers will be higher, and some will be lower. Even though the S&P 500 averaged a return of 10.68% between 1971 and 2017, that period experienced individual years that were extremely high, like in 1995, or extremely low, like in 2008. Someone expecting a 10.68% return during 2008 would have been very upset. But over time, the numbers average out.
While many people understand the idea that returns in an individual period will differ from their long-term average, it is important to remember that the concept of averages extends to most risk and return metrics as well. Measurements like up/down capture will fluctuate in the immediate short term as a measure in any one given period is likely to be higher or lower than its long-term average.
While in the short-term up/down capture can give you an idea about a manager’s monthly or quarterly performance, the measure is much more useful over longer periods of time.
Extending the concept of averages, it would be a mistake to assume that a manager’s quarterly up/down capture will remain the same every quarter.
For example, let’s look at the up/down capture of the Defined Risk Strategy (DRS). Between July 1997 and December 2017, the quarterly up capture of the DRS has been 52.5% and the quarterly down capture has been 13.0%. During the same span for the S&P 500, there have been 58 up quarters and 24 down quarters. Sorted from worst-to-best, the 82 quarterly returns of the S&P 500 since July 1997 look like this:
If the DRS never deviated from its average capture ratios and always participated in 52.5% of every up quarter and 13.0% of every down quarter, the returns of the DRS would look like this:
While the consistency and predictability of the measurement look cleaner, the reality of the situation is much less tidy.
The point when down capture was at its best was the five- year period ending December 2007. This span included the tail end of the dot-com crisis and the start of the Global Financial Crisis. The point of the worst down capture is the current five-year period, ending December 31st, 2017. At this point, the bull market is almost nine years old. Within the last five years, only one quarter out of 20, the third quarter of 2015, was negative. The down capture of 72.19% represents only one data point.