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Working Paper

The Tax Benefits of Direct Indexing

An investor holding a direct indexing portfolio can obtain tax benefits by harvesting losses on individual stock positions. We show that investors with allocations to hedge funds and derivatives are the most likely category of investors to have systematic short-term capital gains in their portfolios and, therefore, benefit the most from losses harvested by direct-indexing strategies. We show how tax benefits are affected by equalizing the tax rate applicable to long-term and short-term capital gains.

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.

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

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

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

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, 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, 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.