"In U.S. and international individual stocks, constant volatility-scaled, constant semi-volatility-scaled, and dynamic-scaled momentum all decrease momentum crashes and have higher risk-adj. returns."
2/ "We calculate portfolio breakpoints for each country separately to ensure that country effects do not drive our results.
"Since we measure returns in USD, we calculate excess returns based on the 1-month U.S. Treasury bill rate."
HMLd = AQR HML-Devil monthly-updated factor
3/ cMOM targets a constant momentum portfolio volatility (chosen so that the full-sample volatilities of momentum and cMOM are identical) using 126-day trailing volatility as the forecast.
sMOM uses downside volatility.
dMOM is like cMOM but includes a strategy return forecast.
4/ "Comparing enhanced momentum strategies with MOM, we show that all of them exhibit higher t-statistics and Sharpe ratios (both nearly double compared to standard momentum). Furthermore, skewness, kurtosis, and maximum drawdowns decrease in magnitude."
5/ "MOM and cMOM or sMOM are highly correlated. The correlation between MOM and dMOM is lower, which can be traced back to larger strategy differences.
"All are more negatively correlated with HMLd than with HML. We therefore substitute HMLd for HML to create the FFd model."
6/ "The alphas of all enhanced strategies with respect to the FFd factors plus MOM are economically and statistically significant.
"The highly negative correlation makes MOM relatively more attractive (when also controlling for dMOM) when controlling for HMLd than when not."
7/ "FF3FM + MOM is dominated by the FFd + MOM. This primarily stems from the more negative correlation of momentum and HMLd.
"As already suggested by the factor spanning tests, the enhanced momentum strategies incorporate significant information, even beyond standard momentum."
8/ "Standard momentum and enhanced momentum have cross-sectional stock return predictability around the globe. However, the observed momentum premia vary across countries."
9/ "For countries in a market continuation month (positive market return following a positive market year), MOM returns are 1.86% higher. The continuation dummy (proxying time-varying investor overconfidence) has the strongest impact on differences in country momentum returns."
10/ "Our study provides out-of-sample evidence suggesting that time-varying investor overconfidence (proxied by the market continuation dummy) is superior to time invariant investor overconfidence (proxied by individualism)."
11/ "MOM, cMOM, and sMOM are more related to market continuations in bear than to market continuations in bull markets. (During bear markets, a market continuation, defined as a contemporaneous down-movement of the market, generates higher returns compared to a market reversal.)"
12/ "One-way turnover increases for all enhanced strategies, especially dMOM.
"U.S. momentum investors are only 5% sure that strategy will have net profits when transaction costs do not exceed 0.60%.
"There may also be interaction effects between market volatility and costs."
13/ "Grundy and Martin (2001) point out that in January, the momentum strategy “goes short prior losers, and prior losers tend to have become extremely small firms”, which is traced back to fund managers selling small-cap losers in December that reverse in January."
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."