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Resurrecting the Value Premium

Authors: David Blitz; Matthias X. Hanauer;

Resurrecting the Value Premium

Abstract

The prolonged poor performance of the value factor has led to doubts about whether the value premium still exists. Some have noted that the observed returns still fall within statistical confidence intervals, but such arguments do not restore full confidence in the value premium. This paper adds to the literature by showing that the academic value factor, HML, has not only suffered setbacks in recent years but has, in fact, been weak for decades already. However, we show that the value premium can be resurrected using insights that are well documented in the literature or common knowledge among practitioners. In particular, we include more powerful value metrics, apply some basic risk management, and make more effective use of the breadth of the liquid universe of stocks. Our enhanced value strategy also suffers in recent years, but this is largely explained by an extreme widening of valuation multiples similar to the late nineties. We conclude that a solid value premium is still clearly present in the cross-section of stock returns.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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