While analysts underwrite high growth for companies that have grown quickly and slow growth for companies that have grown slowly in the past, a large body of evidence demonstrates that reversion to the mean of both positive and negative abnormal earnings growth is the norm.
Over the very long term, while value stocks have been less profitable and have had slower growth in earnings than growth stocks, they have provided higher returns.
Running regressions on past returns is a great tool for academic researchers who understand this approach's nuance, assumptions, pitfalls, and limitations. However, when factor regressions become part of a sales effort and/or are put in the hands of investors/advisors/DIYers, "the tool can quickly turn you into a fool."
Although the most efficient way to implement a value strategy may need to be clarified, it is clear that value has withstood the test of time and that some implementations are superior to others. The evidence suggests that P/B is not an efficient metric as a standalone criteria. Instead, value strategies that use P/B should include at least a measure of profitability while managing sector - and security-level diversification.
The article aims to explore the possibility that changes in fundamentals play a role in the attenuation of stock market anomalies, offering an alternative explanation to the prevailing arbitrage-based explanation
We recently hosted our 6th Annual Democratize Quant Conference. This post is a recap of what we heard and some resources we can make available to the public.
John Campbell, Stefano Giglio, and Christopher Polk, authors of the March 2023 study “What Drives Booms and Busts in Value?,” sought to determine which factors drive value’s booms and busts. They interpreted the returns to the standard value strategy through the lens of Robert Merton’s intertemporal CAPM (ICAPM).
Factor strategies need to be rebalanced in order to maintain their factor exposure. But different factors decay at different rates and this affects how they should be rebalanced. For example, momentum needs to be rebalanced more than value. This study digs into these questions.
On this week's episode, Isaiah is joined by expert Dr. Wesley Gray, CEO of Alpha Architects, to discuss the concepts of value 🌱 investing.
We believe owning deep-value stocks is potentially interesting at these valuation peaks. But as I said in the previous two times I wrote this, the spread can get more extreme. At some point, we'd like to stop talking about the valuation spread and its potential effect on forward expected returns...and see that spread COMPRESS!
Wide divergences between the valuations of cheap stocks relative to expensive stocks have preceded significant outperformance for value over the subsequent decade, as shown in this figure.
Given that valuations provide information on equity returns, it should not be surprising to learn that valuation spreads provide information on future factor premiums.
How do you separate the signal from the noise? To have confidence that a factor premium, or strategy, isn’t just the result of data mining - a lucky/random outcome - we recommended that you should require evidence that the premium has been not only persistent over long periods of time and across economic regimes, but also pervasive across sectors, countries, geographic regions and even asset classes; robust to various definitions (for example, there has been both a value and a momentum premium using many different metrics); survives transactions costs; and has intuitive risk- or behavioral-based explanations for the premium to persist.
Jules van Binsbergen, Liang Ma and Michael Schwert, authors of the September 2022 study “The Factor Multiverse: The Role of Interest Rates in Factor Discovery,” posed an interesting question: Are the findings of at least some of the reported anomalies the direct result of the 40-year secular decline in global interest rates and thus not really anomalies?
The Cross Section of Stock Returns Pre-CRSP data: Value and Momentum are confirmed as robust anomalies
We study the cross-section of stock returns using a novel constructed database of U.S. stocks covering 61 years of independent data.
Managed portfolios that exploit positive first-order autocorrelation in monthly excess returns of equity factor portfolios produce large alphas and gains in Sharpe ratios. We document this finding for factor portfolios formed on the broad market, size, value, momentum, investment, prof- itability, and volatility. The value-added induced by factor management via short-term momentum is a robust empirical phenomenon that survives transaction costs and carries over to multi-factor portfolios. The novel strategy established in this work compares favorably to well-known timing strategies that employ e.g. factor volatility or factor valuation. For the majority of factors, our strategies appear successful especially in recessions and times of crisis.