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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

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

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: 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.

Working Paper

What Can Betting Markets Tell Us About Investor Preferences and Beliefs? Implications for Low Risk Anomalies

We relate the low risk anomaly in financial markets to the Favorite-Longshot Bias in betting markets and provide novel evidence to both anomalies. Synthesizing the evidence, we study the joint implications from the two settings for a unifying explanation. Rational theories of risk-averse investors with homogeneous beliefs cannot explain the cross-sectional relationship between diversifiable risk and return in betting markets. Rather, we appeal to models of non-traditional preferences or heterogeneous beliefs.

Journal Article

Fact and Fiction About Low-Risk Investing

Low-risk investing has received a lot of attention over the past decade. An intensive academic debate has spurred, and been spurred by, the growing market for low-risk strategies. This article presents five fact and dispels five fictions about low-risk investing.

Working Paper

Time-Varying Leverage Demand and Predictability of Betting-Against-Beta

We test the predictability of betting-against-beta (BAB) strategies and find that they perform better when past market returns have been high.

Journal Article

The Low-Volatility Anomaly: Market Evidence on Systemic Risk vs. Mispricing

Researchers have demonstrated a long-term connection between future stock returns and various measures of prior stock price variability.