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White Paper

Trend-Following: Why Now? A Macro Perspective

Trend following is having a banner 2022 amidst a year of turmoil for traditional portfolios, but investors exploring an allocation to trend-following may be wondering if they are “late to the trade,” while also anchoring their expectations to the lean 2010s. We show that both the macroeconomic picture and empirical evidence suggest that strong performance for trend-following may persist, making it a potentially valuable source of diversifying returns during a challenging time for the rest of investors’ portfolios.

Data Set

Quality Minus Junk: 10 Quality-Sorted Portfolios, Monthly

We have updated data for the paper “Quality Minus Junk” (Asness, Frazzini and Pedersen, 2014). We provide 10 quality-sorted, long-only portfolios for a U.S. long sample (starting 1956) and a global broad sample (starting 1986), and update them monthly.

Data Set

Quality Minus Junk: Factors, Daily

We have updated data for the paper “Quality Minus Junk” (Asness, Frazzini and Pedersen, 2014). We provide 10 quality-sorted, long-only portfolios for a U.S. long sample (starting 1956) and a global broad sample (starting 1986), and update them monthly.

Data Set

Quality Minus Junk: Factors, Monthly

We have updated data for the paper “Quality Minus Junk” (Asness, Frazzini and Pedersen, 2014). We provide 10 quality-sorted, long-only portfolios for a U.S. long sample (starting 1956) and a global broad sample (starting 1986), and update them monthly.

Data Set

Betting Against Beta: Equity Factors Data, Monthly

This data set is an updated and extended version of the original data set for “Betting Against Beta” (Frazzini and Pedersen, 2014). We provide daily long/short BAB equity factors for U.S. equities and 23 international equity markets.

Data Set

Betting Against Beta: Equity Factors, Daily

This data set is an updated and extended version of the original data set for “Betting Against Beta” (Frazzini and Pedersen, 2014). We provide daily long/short BAB equity factors for U.S. equities and 23 international equity markets.

Data Set

The Devil in HML's Details: Factors, Daily

We have updated and extended our data set for “The Devil in HML’s Details” (Asness and Frazzini, 2013). We include long/short HML Devil returns for the U.S. and 23 international equity markets updated monthly.

Data Set

The Devil in HML's Details: Factors, Monthly

We have updated and extended our data set for “The Devil in HML’s Details” (Asness and Frazzini, 2013). We include long/short HML Devil returns for the U.S. and 23 international equity markets updated monthly.

Data Set

Quality Minus Junk: Six Portfolios Formed on Size and Quality, Monthly

We have updated data for the paper “Quality Minus Junk” (Asness, Frazzini and Pedersen, 2014). We provide 10 quality-sorted, long-only portfolios for a U.S. long sample (starting 1956) and a global broad sample (starting 1986), and update them monthly.

Data Set

Time Series Momentum: Factors, Monthly

We have updated and extended our data set for “Time Series Momentum" (Moskowitz, Ooi and Pedersen, 2012), in which we document an asset-pricing anomaly that is consistent across different asset classes and markets. We update the returns monthly.