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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

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

Value and Momentum Everywhere: Portfolios, Monthly

We have updated our data set for our paper “Value and Momentum Everywhere,” in which we find consistent value and momentum return premia across eight diverse markets and asset classes, and a common factor structure among their returns.

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: 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

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

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.

Perspective

The Replication Crisis That Wasn’t

Factor investing has long faced criticisms of data mining, and more recently faced another criticism – some backtests might never have been right to begin with. A growing body of mostly well-done papers examine these issues, generally concluding that factors have been disappointing since their “discovery.” We’ve long addressed these concerns through robust out-of-sample evidence and a compelling theory for why a factor should work. What we’ve lacked, until now, is a formal test. My colleagues’ new paper tests brilliantly, what we have argued, largely anecdotally, for years. Their results are rather startlingly (even to me) positive for the field in general.

Working Paper

Is There a Replication Crisis in Finance?

Several papers argue that financial economics faces a replication crisis because many studies cannot be replicated or are the result of multiple testing of too many factors. We develop and estimate a Bayesian model of factor replication that leads to different conclusions, including finding the majority of asset pricing factors can be replicated.