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/ Lifespan: Why We Age—and Why We Don't Have To (Sinclair and LaPlante)
"In my labs, we have both accelerated and reversed aging in model organisms and have been responsible for some of the most cited research published in top scientific journals."
2/ "I have come to see aging as a disease—one that not only can but should be aggressively treated.
"We have a robust understanding of what aging looks like and what it does to us and an emerging agreement about what causes it and what keeps it at bay." (p. 10)
3/ "Increasing free-radical damage or mutations in mice didn't lead to aging.
"It has proven simple to restore the function of mitochondria in old mice, indicating that a large part of aging is not due to mutations in mitochondrial DNA, at least not until late in life.
"People respond to incentives, although not necessarily in ways that are predictable or manifest. Therefore, one of the most powerful laws in the universe is the law of unintended consequences."
2/ "Compared with the total number of people killed in alcohol-related traffic accidents each year—about 13,000—the number of drunk pedestrians is relatively small. But when you’re choosing whether to walk or drive, the overall number isn’t what counts.
3/ "Per mile traveled, a drunk walker is eight times more likely to get killed than a drunk driver.
"Even after factoring in the deaths of innocents, walking drunk leads to five times as many deaths per mile as driving drunk." (p. 3)
"Near-death experiences are not a new phenomenon. There are accounts from ancient Greek/Roman sources, all the major religious traditions, indigenous populations worldwide, and medical literature of the 19th/20th centuries." (p.9) amazon.com/After-Doctor-E…
2/ This is the author's Wikipedia page:
"Greyson is Professor Emeritus of Psychiatry and Neurobehavioral Sciences at the University of Virginia and a Professor of Psychiatric Medicine in the Department of Psychiatric Medicine at UVA."
3/ "Nothing in my background or scientific training had prepared me to deal with such a frontal assault on my worldview. I had been raised by a no-nonsense skeptical father, for whom life was chemistry, and I followed his lead in forging my own career as a mainstream scientist.
1/ Crowding and Factor Returns (Kang, Rouwenhorst, Tang)
"We construct a direct measure of factor strategy crowding that is based on CFTC aggregate positioning. Crowding measure has a strong negative predictive impact on expected factor returns."
2/ Crowding at the commodity level = excess speculative pressure (deviation of non-commercial traders’ positions from the 52-week average, scaled by open interest)
"We will show that it is straightforward to aggregate individual commodity crowding to the factor strategy level."
3/ "Speculative positions show substantial short-term variation (σ ≈ 15%) that is independent from accommodating the hedging demands of commercial traders, which are unlikely to vary substantially at the weekly horizon."
1/ Effectiveness of three versus six feet of physical distancing for controlling spread of COVID-19 among primary and secondary students and staff
"There is no sig. difference between requiring ≥3 & ≥6 feet if other mitigation measures are implemented." academic.oup.com/cid/advance-ar…
2/ "National and international guidelines differ about physical distancing for the prevention of SARS-CoV-2 transmission; studies directly comparing impact of ≥3 vs. ≥6 feet of distancing in school settings are lacking.
"The majority of districts required universal masking."
3/ "Current guidance from the WHO is to maintain one meter (3.3 feet) between students; the CDC recommends 6 feet.
"Data from different countries implementing different distancing guidelines seem to suggest no major difference, though they did not do a direct comparison."
1/ Assessing mandatory stay‐at‐home and business closure effects on the spread of COVID‐19 (Bendavid, Oh, Bhattacharya, Ioannidis)
"After subtracting less-restrictive NPI effects, we find no benefit of more-restrictive NPIs on case growth in any country." onlinelibrary.wiley.com/doi/full/10.11…
2/ "In the absence of empirical assessment, the effects of NPIs on reduced transmission are assumed rather than assessed.
"The slowing of COVID-19 epidemic growth was similar in many contexts in a way that is more consistent with natural dynamics than policy prescriptions."
3/ "We estimate the unique effects of more-restrictive NPIs (mrNPIs) on case growth rate in the spring of 2020 by comparing effects in other countries to those in Sweden/South Korea.
"The data consists of daily case numbers in subnational administration regions of each country."