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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.

Perspective

Are Value Stocks Cheap for a Fundamental Reason?

By far the most popular question we get from value skeptics is “are the fundamental prospects for value stocks unusually poor today, justifying their low valuations versus expensive stocks?” Well, we now have an answer that doesn’t require a four-hour time commitment nor a PhD.

Are Value Stocks Cheap for a Fundamental Reason?

The value spread remains unusually high, which has led investors to be concerned that value may be cheap for a reason. In this short presentation, our Portfolio Solutions Group (PSG) explains how we evaluate this spread and illustrates our view that the current high value spread is forecasting higher expected returns, and not low fundamental growth rates.

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

Value and Momentum Everywhere: Factors, Monthly

We have updated and extended the data set for the paper, “Value and Momentum Everywhere.” Our research shows consistent value and momentum return premia in eight diverse markets and asset classes, and a common factor structure among their 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.

Perspective

The Long Run Is Lying to You

Everyone knows the value strategy has been a grave disappointment out-of-sample since, say, 1990, based on realized returns. However, odd as it might sound, the realized average return on a strategy is not necessarily the best estimate of its true long-term expected return. In fact, the right estimate of the true long-term expected return of the value strategy is considerably higher than many might think if they were to just look at simple past returns – especially right now. Why? I explain it in this note (spoiler: it has to do with changes in valuation).

Perspective

A Gut Punch

Sure, the last nearly three years have hurt, but at least the explanation was straightforward. A core part of our process, value, suffered. So when value rebounds, we will too, right? Well, not necessarily. To be clear, if value makes a prolonged major recovery, we certainly believe we will as well, but over short periods that doesn’t have to happen. Unfortunately, this is what we have experienced since the end of October. Regardless, it does not change my view one drop that going forward multi-factor investing is a darn good bet in a world that needs some darn good bets.

Journal Article

Value and Interest Rates: Are Rates to Blame for Value’s Torments?

Some have blamed the interest rate environment for value stocks’ underperformance of growth stocks from 2017 to early 2020, as well as the stretch of lackluster performance for some value factors since Global Financial Crisis. We find the performance of value is not easily assessed based on the interest rate environment, and that factor timing strategies based on interest rate-related signals are likely to perform poorly.