Factor Returns and the Information in Valuation Spreads
Given that valuations provide information on equity returns, it should not be surprising to learn that valuation spreads provide information on future factor premiums.
Given that valuations provide information on equity returns, it should not be surprising to learn that valuation spreads provide information on future factor premiums.
This article examines the research on gender bias and fund management. Specifically, we will focus on the gender-based attention bias.
In their 1961 paper, “Dividend Policy, Growth, and the Valuation of Shares,” Merton Miller and Franco Modigliani famously established that dividend policy should be irrelevant to stock returns. As they explained it, at least before frictions like trading costs and taxes, investors should be indifferent to $1 in the form of a dividend (causing the stock price to drop by $1) and $1 received by selling shares. This must be true, unless you believe that $1 isn’t worth $1. This theorem has not been challenged since, at least in the academic community.
This example of research on political beta is an example of applying portfolio theory to problems associated with global politics.
This chart on creating shareholder value through ESG engagement is useful when evaluating if ESG practices boost valuations.
This table of emissions and carbon intensity is relevant to the question of institutional investor influence over the carbon footprint.
The following exhibit, which is useful to the subject of mitigating risks with factor strategies, provides the total return of the four benchmark portfolios and the five anomaly portfolios.
The illiquid nature of the asset class makes the demystifying of private equity returns difficult to achieve under any circumstances, but the framework presented in this article should move the reader closer to the goal.
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.
Can the planet earth be saved by investors? Find out what the research says!
In this article about asset pricing theory, we examine the research on the impact of technological advances that displace human labor in favor of machine capital to asset pricing.
The past decade has seen a dramatic growth in sustainable investing—applying environmental, social and governance (ESG) criteria to investment strategies. Investments considered environmentally friendly are often referred to as “green,” while “brown” denotes the opposite. Important questions for investors are: What are the expected returns to green stocks? What does their past performance tell us about their future expected returns? We begin by looking at what economic theory tells us our expectations should be.
Although geopolitical risk has traditionally been approached from a qualitative aspect, what makes it a novel risk is the application of innovative techniques to measure it.
To determine if a multi-factor approach has provided diversification benefits in terms of exposure to economic cycle risks, the research team at Counterpoint evaluated returns to multifactor long-short strategies, stocks, and 1-month T-bills in a variety of economic conditions (recession or no recession, high or no high inflation, and stagflation) over the period July 1963-August 2022.
This is a review of Eric Balchunas's book "The Bogle Effect: How John Bogle and Vanguard Turned Wall Street Inside Out and Saved Investors Trillions."
Pastor, Stambaugh, and Taylor (2015) and Zhu (2018) provide significant evidence of decreasing returns to scale (DRS) at both the fund and industry levels. The authors examine the robustness of their inferences after Adams, Hayunga, and Mansi (2021) critique the above two studies.
The paper documents that return forecasts from machine learning methods lead to superior out-of-sample returns in emerging markets.
This paper investigates the effects of volatility scaling on factor portfolio performance and factor timing.
Given that tightening monetary policy increases economic risks, Simpson and Grossman provided compelling evidence of a risk explanation for the size factor. For those investors who engage in tactical asset allocation strategies (market timing), their evidence suggests that it might be possible to exploit the information. Before jumping to that conclusion, I would caution that because markets are forward-looking, they should anticipate periods of Fed tightening and the heightened risks of small stocks.
In this article, we examine the research on investing during inflationary regimes such as deflation, inflation, and stagflation. Factors perform relatively well in all regimes on a real basis.
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