- •Contents
- •The big de-rating of 2018: what next?
- •16% median returns in year after de-rating
- •P/E has recouped ~30% of fall, ~40% of industry returns reversed
- •S&P 500 target of 3200, on EPS +7% in '19
- •S&P EPS forecast +7% in 2019 to $175, +4.3% in 2020
- •De-rating exceeded rise in rates, late cycle discount
- •Framing upside and downside using scenario analysis
- •Upside scenarios: de-escalation and US structural divergence
- •Downside scenarios: trade escalation, US recession, CBs behind curve
- •De-rating vs. key themes/drivers: what's priced?
- •At a style/factor level: quality, momentum and growth should lead at this stage, but they are not cheap
- •Sector, industry and style recommendations
- •Style and factor views: prefer quality, large over small, momentum+ growth over value strategically but tactically look for laggards
- •Stock baskets to capitalize on key themes
- •Market returns in perspective: what does history tells us?
- •Late cycle returns have been sizeable
- •ISM peak to midpoint (~52.5): ~9% type returns
- •ISM is a guidepost for sector and style investing
- •Leadership persists, losers lose big, dispersion rises
- •How is this cycle different? Fundamental drivers can persist
- •Protectionist pendulum is swinging
- •Leverage has shifted: watch small corporates
- •Consumer savings rate > prior cycle highs
- •Investment % of US GDP is below average
- •Margins are high, but productivity is not
- •No repatriation tax, dividends can jump
- •Financial conditions supportive: cycles end when rates > nominal GDP
- •Key themes: how to invest for 2019?
- •Respect the cycle: ISM as a guidepost for rotations
- •Margins will diverge: where are the relative opportunities?
- •Dividend growth to rise: look for high DPS growth, low payouts
- •Trade risks remain: account for potential impacts
- •Momentum persists: look for sustainable growth
- •Quality and FCF: should perform through cycle
- •C-Speak proprietary signal: where has corporate sentiment shifted?
- •Basket 2: High momentum + growth
- •Basket 3: Low momentum and slowing growth
- •Basket 4: Dividend growth upside
vk.com/id446425943
Leadership persists, losers lose big, dispersion rises
The outperformance of Tech and Comm Svcs and whether it can keep going has been a key source of debate amongst investors. We would point out that the end of each cycle has seen sector leadership persist, with the outperforming sector continuing to outperform until the very end of the market and economic cycle. This supports our continued positive view for the Tech sector medium-term.
Sector leadership has persisted in past cycles, until the end of the bull market. In the last cycle, Energy outperformed from before 2004 until the summer of 2008, six months into the recession. Before the 2001 recession, Tech outperformed until March 2000, before proceeding to take the equity market lower for years. Consumer Staples was the clear leader in the late 1980s and early 1990s while Energy was again a big outperformer in the late 1970s and early 1980s. Even earlier cycles saw the tendency for sector leadership to persist.
Figure 36: Staples led in 80s-90s |
Figure 37: Tech led in the late 90s |
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Cons Staples vs SPX |
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Technology vs SPX |
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0.18 |
Curve |
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0.45 |
Curve |
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inversion |
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inversion |
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0.40 |
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0.16 |
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0.35 |
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0.14 |
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0.30 |
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0.25 |
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0.12 |
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0.20 |
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0.10 |
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0.15 |
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86 |
87 |
88 |
89 |
90 |
91 |
95 |
96 |
97 |
98 |
99 |
00 |
01 |
02 |
Source: S&P, FactSet, UBS |
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Source: S&P, FactSet, UBS |
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Relative re-rating of Tech makes us tactically more cautious near term amid the potential for a reversal after the market derating.
Figure 38: Energy led through '08
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Energy vs SPX |
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0.45 |
Curve |
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0.40 |
inversion |
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0.35 |
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0.30 |
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0.25 |
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0.20 |
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0.15 |
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03 |
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06 |
07 |
08 |
Source: S&P, FactSet, UBS |
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Figure 39: Factor returns through the phases of the ISM cycle (top minus bottom quintile, S&P 500 non sector neutral)
Low and rising ISM |
High and rising ISM |
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-30%-15% 0% 15%30% |
-10% 0% 10% 20% |
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Comp Value |
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Comp Growth |
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Comp Growth |
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Comp Momentum |
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Comp Quality |
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Comp Value |
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Comp Momentum |
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Comp Quality |
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Beta 12m |
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Beta 12m |
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Volatility 12m |
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Volatility 12m |
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Book/Price (trail) |
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Earn gwth fwd 1y |
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Total Debt to EV |
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Prc Mom 12mx1m |
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FCF Yield (trailing) |
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Earn Revision 3m |
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EY (NTM) |
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Sales gwth fwd 1y |
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Gross Prof mgn |
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Book/Price (trail) |
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Net Debt / EBITDA |
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Earn gwth trail 1y |
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Earn gwth fwd 1y |
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Gross Prof mgn |
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OCF margin |
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FCF Yield (trailing) |
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DY (trailing) |
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ROIC |
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Earn Revision 3m |
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EY (NTM) |
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EY (trailing) |
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Sales gwth trail 1y |
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ROIC |
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ROE |
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Short Interest |
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OCF margin |
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Earn gwth trail 1y |
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EY (trailing) |
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EBITDA margin |
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Market Cap |
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ROE |
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Total Debt to EV |
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Sales gwth fwd 1y |
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Sales Revision 3m |
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DY (trailing) |
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Prc Mom 12mx1m |
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EBITDA margin |
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Sales Revision 3m |
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Net Debt / EBITDA |
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Market Cap |
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Short Interest |
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High and falling ISM
-10% 0% 10% 20%
Comp Momentum Comp Quality Comp Growth Comp Value
Prc Mom 12mx1m
Earn gwth fwd 1y
FCF Yield (trailing)
Earn Revision 3m
Sales Revision 3m
Sales gwth fwd 1y
ROIC
ROE
Gross Prof mgn
Earn gwth trail 1y
Market Cap
OCF margin
EY (trailing)
Sales gwth trail 1y
EY (NTM)
EBITDA margin
DY (trailing)
Total Debt to EV
Net Debt / EBITDA
Beta 12m
Volatility 12m
Book/Price (trail)
Short Interest
Low and falling ISM
-30%-15% 0% 15%30%
Comp Quality
Comp Value Comp Momentum Comp Growth
FCF Yield (trailing)
EY (trailing)
DY (trailing)
ROE
ROIC
OCF margin
EY (NTM)
Gross Prof mgn
Prc Mom 12mx1m
EBITDA margin
Earn Revision 3m
Market Cap
Net Debt / EBITDA
Earn gwth trail 1y
Earn gwth fwd 1y
Book/Price (trail)
Sales gwth fwd 1y
Total Debt to EV
Sales Revision 3m
Short Interest
Sales gwth trail 1y
Beta 12m
Volatility 12m
Source: S&P, Compustat, IBES, FactSet, UBS
US Equity Strategy 13 November 2018 |
22 |
vk.com/id446425943
At a factor level, momentum has been the best performing factor when the ISM was high/falling, corroborating the finding that momentum and leadership tend to persist at this stage of the cycle. Indeed, momentum worked well after the initial ISM peak in Feb-18 but unwound from Jun-Oct. After the ISM falls below the midpoint, momentum has not done as well.
Losers lose big: low price+EPS momentum performs the worst at this stage.
The underperformance of stocks with the lowest 12-1m price momentum and the lowest EPS+sales revisions has been sizeable (-8%) when the ISM was high/falling.
Quality tends to also do well, even until an ISM trough, in line with our finding that quality tends to do the best around and after rises in volatility (link). Our quant team also finds that quality performs well at this stage (link), and prefers a quality tilt currently. From a fundamental perspective, it makes sense that companies with higher margins, higher ROICs, better balance sheets and lower volatility tend to outperform as the cycle matures and competition tends to increase. Quality is the top performing style when the ISM is low and falling.
Growth stocks have outperformed on average until the ISM falls below 52, then performance reversed. Stocks with high forecasted EPS and sales growth have significantly outperformed when the ISM was high/falling. However, growth stocks then underperformed after the ISM crossed the midpoint and kept falling.
Value does not do well broadly, FCF yield and dividend yield does. Deeper value stocks with high book/price tend to underperform when the ISM is high/ falling. More expensive stocks have higher growth and tend to do ok at this stage. Value tends to do better at the later stages of the cycle.
Figure 40: Factor performance when ISM is high/falling |
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Figure 41: Factor performance when ISM is low/falling |
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-10% |
-5% |
0% |
5% |
10% |
-30% -20% -10% |
0% |
10% |
20% |
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High Earn gwth fwd 1y |
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High Comp Quality |
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High Sales gwth fwd 1y |
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Low Volatility 12m |
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High Comp Growth |
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High Gross Prof mgn |
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High Comp Momentum |
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High Comp Value |
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Low Comp Value |
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Low Beta 12m |
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High Gross Prof mgn |
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Low Book/Price (trail) |
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High Comp Value |
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High DY (trailing) |
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High ROIC |
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High ROIC |
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High DY (trailing) |
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High Book/Price (trail) |
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High Prc Mom 12mx1m |
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High ROE |
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High FCF Yield (trailing) |
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Low Short Interest |
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Low Short Interest |
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High FCF Yield (trailing) |
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High EY (trailing) |
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High Market Cap |
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Low Book/Price (trail) |
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Low Gross Prof mgn |
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High ROE |
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High EY (trailing) |
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High Market Cap |
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Low Sales Revision 3m |
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High Book/Price (trail) |
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Low EY (NTM) |
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Low Earn gwth fwd 1y |
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High Sales gwth trail 1y |
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Low ROIC |
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Low Comp Quality |
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Low ROE |
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Low Prc Mom 12mx1m |
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Low OCF margin |
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High Earn gwth trail 1y |
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High Short Interest |
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Low Earn gwth trail 1y |
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Low Earn gwth trail 1y |
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High Sales Revision 3m |
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Low Comp Quality |
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High Beta 12m |
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Low Sales Revision 3m |
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Low EY (trailing) |
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Low Market Cap |
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Low OCF margin |
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Low FCF Yield (trailing) |
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High Volatility 12m |
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Low Earn Revision 3m |
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Low FCF Yield (trailing) |
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Low Comp Momentum |
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Low Sales gwth fwd 1y |
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Low Prc Mom 12mx1m |
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High Sales gwth fwd 1y |
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Source: S&P, Compustat, IBES, UBS Note: Average annualized performance, 5th quintile (high) and 1st quintile (low) vs. median, non sector neutral.
Source: S&P, Compustat, IBES, UBS Note: Average annualized performance, 5th quintile (high) and 1st quintile (low) vs. median, non sector neutral.
US Equity Strategy 13 November 2018 |
23 |
vk.com/id446425943
Dispersion tends to rise, and losers tend to decline by a lot more. Investors have been keenly focused on the outperformance of a few stocks ("FAANG", etc.) and the Tech sector. But dispersion between winners and losers was near all-time lows in 2017, but rose in 2018 as winners moved higher and laggards fell. In later cycle years, top performers tend to rally 30%+ and account for an outsized share of returns, while the worst performers tend to fall 20-40% (see FAANGs and breadth).
"Great convergence" is ending. The mantra for US stocks is no longer that "a rising tide lifts all boats" (or most boats…). Instead, while some "currents" are still going in, some are starting to go out and others have stopped going in. Corporates have taken on a more competitive mindset as disruptive technologies, increased M&A, a profit recovery, higher confidence and the search for top line growth has forced firms to be more proactive. QE and low interest rates have helped narrow the spread in earnings yields for stocks while the difference in expected 3-5yr EPS growth has risen dramatically. Active to passive flows have led to a jump in trading volume for mid and small size companies, also helping arb away valuation anomalies.
Figure 42: Stock performance begins to diverge more later in the cycle
We see leaders continuing to rally in 2019 as is typical outside of recessions. But we see the worst performers down by more than we saw in 2017 and this year prior to the Oct selloff.
The Oct selloff was exacerbated by active outflows, but we see the potential for passive selling in a downturn as a risk to less liquid stocks that will not have as much active support.
120%
100%
80%
60%
40%
20%
0%
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Spread of S&P 500 stock performance |
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In 2019, dispersion |
60% |
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Top - Btm 100 (avg) |
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should rise from the |
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historical low |
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Top - Btm 100 (wtd, rhs) |
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50% |
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QE and zero rates |
40% |
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30% |
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20% |
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10% |
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0% |
59 |
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69 |
71 |
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81 |
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85 |
87 |
89 |
91 |
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Source: S&P, CRSP, FactSet, UBS Note: 5th quintile (top) minus 1st quintile (bottom).
Figure 43: Price momentum (12m ex 1m) by top and bottom quintiles, S&P 500
Figure 44: How many top 5 stocks are still in the top 5 a year later?
115% |
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Top quintile, non SN |
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3.0 |
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Bottom quintile, non SN |
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More consistent |
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95% |
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2.5 |
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75% |
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55% |
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2.0 |
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35% |
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1.5 |
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15% |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-5% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1.0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-25% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-45% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.5 |
|
Less consistent |
|
|
|
|
|
|
|
|
-65% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-85% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.0 |
|
|
|
|
|
|
|
|
|
|
90 |
92 |
94 |
96 |
98 |
00 |
02 |
04 |
06 |
08 |
10 |
12 |
14 |
16 |
18 |
66 |
71 |
76 |
81 |
86 |
91 |
96 |
01 |
06 |
11 |
16 |
Source: S&P, CRSP, Bloomberg, UBS |
Source: UBS Quantitative Research Note: We show the 24-month rolling average |
|
of the underlying time series, FAANGs and breadth. |
US Equity Strategy 13 November 2018 |
24 |