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Data Set

AQR Momentum Indices, Monthly

We have developed methodologies for U.S. and international markets that capture momentum in an intuitive and transparent way. The methodology can be applied to any universe of stocks. We have included monthly data for our three momentum indices here.


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

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: 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.


Alternative Thinking

The Hidden Value of Streaky Returns in Stock Portfolios

Streaky return streams - ones that that can perform well or poorly for extended periods - are challenging for investors to comprehend and stick with. Yet, this very "complexity risk” may be what earns investors an additional risk premium, leading to above average risk-adjusted returns.


Data Set

How Do Factor Premia Vary Over Time? A Century of Evidence, Factor Data Monthly

This is the updated data set related to the paper “How Do Factor Premia Vary Over Time? A Century of Evidence,” in which we examine four prominent factor premia – value, momentum, carry, and defensive – over a century from six asset classes.


Working Paper

APT or “AIPT”? The Surprising Dominance of Large Factor Models

The authors introduce artificial intelligence pricing theory (AIPT), which conjectures that returns are driven by a large number of factors.


Perspective

The Less-Efficient Market Hypothesis

I argue that over the past 30+ years markets have become less informationally efficient in the relative pricing of common stocks, particularly over medium horizons


Journal Article

CIO Perspectives: An Interview with Cliff Asness

In a wide ranging interview, AQR managing principal Cliff Asness discusses many aspects of AQR’s investment philosophy and approach from the perspective of a CIO – how we adapt our process to changing market conditions, how we think about adding innovative technology such as machine learning to our process, and more.