2/ "We describe a basic framework for constructing average exposure-matched portfolios using the signal blending and portfolio blending approaches.
"Securities are overweighting and underweighting based on a percentile threshold (e.g., top 50% based on factor z-scores)."
3/ For *low* factor exposure portfolios, stocks are included if z-scores are in the top half.
"Given the large overlap and similarities in active weight, we expect the portfolios' performances to be similar. However, the portfolio blend generates a higher IR (0.89 vs. 0.59)."
4/ "The securities held exclusively in the portfolio blend (Area 3, Panel A, Fig. 3) have a higher average active return than for those held only in the signal blend (Area 2).
"The portfolio blend securities also reduce active risk, unlike securities for the signal blend."
5/ "The finding that securities held only in the portfolio blend generate a positive average active return can be largely explained by interaction effects between value and momentum.
"These contextual relationships are also present to varying degrees in other factor pairings."
6/ "As a next step, we create portfolios that target a much higher level of factor exposures.
"The signal blend now achieves these high exposures with better diversification, as represented by a higher count percentage of universe securities and lower active share.
7/ "The signal blend generates 13% higher IR, as shown in Table 8, with the improvement driven by lower active risk.
"In this case, the interaction effects are overwhelmed by the high concentration and stock-specific risk embedded in the portfolio blend."
8/ "At low-to-moderate [high] levels of factor exposure (starting with the top 50% signal blend portfolio), the portfolio [signal] blend is superior.
"Except for the momentum-volatility combination, similar patterns are found for various two-factor combinations."
9/ Quality = gross profits / total assets
Volatility = 1/σ of trailing 12-month daily total returns
"Due to value’s neg. correlation with both momentum and quality, we observe a lower exposure to value. As previously, we match exposures across the 3 factors in both approaches."
10/ "Figure 5 plots the average factor exposure against information ratio for the three- and four-factor portfolios.
"Overall, we see a pattern that is quite consistent with the pattern observed with the value-momentum combination."
11/ "The results in the U.S. are generally validated when analyzed in other developed and global emerging markets."
12/ "Portfolio blending is more transparent: the building-block framework facilitates cause/effect performance attribution.
"For example, momentum has higher active risk than value (9.32% vs. 6.85%), suggesting that diversification could be improved by balancing active risk."
13/ "The way a manager defines, constructs, & implements factor strategies can have a meaningful impact on correlation structure and efficiency of factor capture.
"It is our view that choosing an approach is more appropriately made in the context of a given investment process."
14/ Related research
Long-Only Style Investing: Don't Just Mix, Integrate
1/ Moneyball: The Art of Winning an Unfair Game (Michael Lewis)
"Baseball was at the center of a story about the possibilities—and limits—of reason. It showed how an unscientific culture responds (or fails to respond) to the scientific method." (p. xiv)
2/ "A small group of undervalued professional players & executives, many of whom had been rejected as unfit for the big leagues, turned themselves into one of the most successful franchises.
"How did one of the poorest teams, the Oakland Athletics, win so many games?" (p. xi)
3/ "Hitting statistics were abundant & had, for James, the powers of language. They were, in his Teutonic coinage, 'imagenumbers.' Literary material. When you read them, they called to mind pictures. He wrote... 'To get 191 hits in a season demands (or seems to) a consistency...
3/ "Value, momentum & defensive/quality applied to US individual stocks has a t-stat of 10.8. Data mining would take nearly a trillion random trials to find this.
"Applying those factors (+carry) across markets and asset classes gets a t-stat of >14."
2/ "The model's four terms describe different life stages for an individual who marries during the sample period. The intercept reflects the average life satisfaction of individuals in the baseline period [all noncohabiting years that are at least one year before marriage]."
3/ " 'How satisfied are you with your life, all things considered?' Responses are ranked on a scale from 0 (completely dissatisfied) to 10 (completely satisfied).
"We center life satisfaction scores around the annual mean of each population subsample in the original population."
1/ Short-sightedness, rates moves and a potential boost for value (Hanauer, Baltussen, Blitz, Schneider)
…
* Value spread remains wide
* Relationship between value and rates is not structural
* Extrapolative growth forecasts drive the value premium
… robeco.com/en-int/insight…
2/ "The valuation gap between cheap and expensive stocks remains extremely wide. This signals the potential for attractive returns going forward."
3/ "We observe a robust negative relationship between value returns and changes in the value spread.
"The intercept of ≈10% can be interpreted as a cleaner estimate of the value premium, given that it is purged of the time-varying effects of multiple expansions & compressions."