8
About a year ago, we introduced
Morningstar
FundInvestor
readers to the initial findings from
Morningstar’s research on using peer attribution
to screen and select funds. Starting with the small-
cap value universe, we took a look at if strong
sector-rotation or stock-selection skills in the past
led to better performance in the future.
The results fell in line with expectations: Morningstar
analysts have anecdotally observed that stock-selec-
tion skill tends to be more stable than sector-rotating
dexterity, and peer-attribution data supported
the hypothesis. While the latter can markedly affect
returns in any given period, academic and industry
research has shown that it’s difficult to consistently
make additive market-timing calls. Picking managers
based on their past stock-picking attribution results
led to higher returns and better success rates than
picking them based on their sector-attribution rankings.
We’ve since expanded the research into the large-
growth stock space, a category that’s had a strong run
in the past
10
years. Using the same methodology
that was used for the small-value findings, we looked
at all distinct large-growth funds that existed in the
10
years from July
1
,
2005
, to June
30
,
2015
. We then
used three-year rolling results to answer the ques-
tion: If we picked funds that ranked in the top half of
the group based on the past three years of either
returns, allocation effects, or stock-picking results, what
is the chance that those funds would outperform the
Russell
1000
Growth Index three years later? Exhibit
1
shows the average success rates of those rolling
three-year results.
The numbers don’t look impressive upon first glance,
but they require some perspective. The Russell
1000
Growth Index has been one of the toughest indexes to
beat of late. During the past
10
years, using three-
year returns that roll forward every three months, the
large-growth category average has never topped the
index. On average, only
23%
of all large-growth funds
outpaced the index over those rolling three years.
In that context, the success rates in Exhibit
1
look
somewhat less dire for active managers, which are by
and large the majority of constituents within the
large-growth group. Funds that ranked in the catego-
ry’s top half based on the past three years of returns,
on average, had a
25%
chance of outperforming the
index three years later. That’s slightly better than
the
23%
chance of picking a fund at random. Picking
funds with the best past sector-allocation effects
produced success rates similar to random chance,
adding to the evidence of the difficulty of making
good sector bets. While some funds that tend to favor
certain sectors may see strong sector results at
times, those gains often get wiped out in other periods,
commensurate with how certain sectors come into
and out of favor over time. Meanwhile, funds with
strong stock-picking results had a better chance—at
26%
—of coming out ahead of the index.
If sector rotation doesn’t help but stock selection does,
we tried to combine the two concepts by asking:
What would have happened if we picked managers
that ranked in the top half of their peers by stock-
picking but in the bottom half by sector allocation?
This scenario excludes funds receiving boosts from
seemingly unsustainable strong sector decisions and
instead homes in on those that have had to rely
primarily on stock-picking. Under this scenario, the
success rate increases to
28%
.
Buy Stock-Pickers, Avoid
Sector-Rotators, Part 2
Morningstar Research
|
Janet Yang
Data from 07/2005–06/2015. Average percentage of funds that outpaced
the Russell 1000 Growth Index over rolling three-year periods.
Exhibit 1
Success Rates for Lg-Growth Funds Vs. Russell 1000 Growth Idx
30
24
18
12
6
Return
Sector
Allocation
Stock
Selection
Sector &
Stock
All
25
%
23
%
26
%
28
%
23
%