Darren 🥚🐣🕊️ Profile picture
Apr 16, 2021 14 tweets 6 min read Read on X
1/ Constructing Long-Only Multi-Factor Strategies: Portfolio Blending versus Signal Blending (Ghayur, Heaney, Platt)

"For low-to-moderate factor exposures, portfolio blending works better than signal blending due to interaction effects between factors."

papers.ssrn.com/sol3/papers.cf…
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

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More from @ReformedTrader

Apr 25
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)

amazon.com/Moneyball-Art-…Image
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...
Read 6 tweets
Feb 4
New papers: February 2025
(I haven't read these, but the abstracts look interesting.)

Does Trend-Following Still Work on Stocks?
papers.ssrn.com/sol3/papers.cf…

Application of the Kelly Criterion to Prediction Markets
semanticscholar.org/paper/Applicat…

Jan 2025 edition:
x.com/ReformedTrader…
December Effect in Option Returns
papers.ssrn.com/sol3/papers.cf…

Unintended Consequences of Rebalancing
papers.ssrn.com/sol3/papers.cf…

Speculate against Speculative Demand
semanticscholar.org/paper/Speculat…

Seasonality Patterns in the Crisis Hedge Portfolios (Quantpedia)
quantpedia.com/seasonality-pa…
Bank Fragility After Mergers
papers.ssrn.com/sol3/papers.cf…

Mutual Fund Investors and the Economic Cost of Seeking Alpha
papers.ssrn.com/sol3/papers.cf…

Stock split signaling: Evidence from short interest
papers.ssrn.com/sol3/papers.cf…
Read 15 tweets
May 18, 2024
1/ Skewness and kurtosis

* Everything has excess kurtosis
* Unlike market returns, individual stocks aren't negatively skewed
* Option prices underestimate kurtosis and overestimate negative skewness
* Implied moments don't consistently predict stock returns
* Sell options?? Image
2/ Asset classes have fat tails, and most have negative skewness.

Kurtosis & expected returns


Kurtosis-Based vs Volatility-Based Asset Allocation


Impact of Skewness and Fat Tails on Asset Allocation

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3/ This has practical consequences, and it's a good idea to be prepared.

Give me a moment: Optimal leverage in the presence of volatility, skewness, and kurtosis


When Genius Failed: The Rise & Fall of Long-Term Capital Management


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Read 5 tweets
Jan 1, 2024
1/ Fact, Fiction, and Factor Investing (Aghassi, Asness, Fattouche, Moskowitz)

"We reference an extensive academic literature and perform simple but powerful analyses to address claims about factor investing."

aqr.com/Insights/Resea…
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2/ #1. Fiction: Factors are Data-Mined with No Good Economic Story

"Value, momentum, carry, and defensive/quality pass the more stringent statistical tests.

"Many of the factor tests conducted in papers are on variations of a few central themes."




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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."





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Read 14 tweets
Dec 31, 2023
1/ Happily Ever After? Cohabitation, Marriage, Divorce, and Happiness in Germany (Zimmermann, Easterlin)

"The formation of unions (separation or divorce) has a positive (negative) effect on life satisfaction. We also see a 'honeymoon period' effect."

researchgate.net/publication/49…
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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]."


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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."
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Read 29 tweets
Aug 13, 2023
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…
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2/ "The valuation gap between cheap and expensive stocks remains extremely wide. This signals the potential for attractive returns going forward."


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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." Image
Read 7 tweets

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