For investors that use trend-following strategies, Avramov, Kaplanski, and Subrhmanyam provided new evidence supporting momentum strategies and showed that the distance between short- and longer-term momentum signals provides additional explanatory power in the cross-section of equity returns.
In this academic article, the authors pull together an analysis of the types of thematic structures found most often in financial planning studies as well as the theories most often referenced.
Antonello Cirulli and Patrick Walker, authors of the December 2023 study “Outperforming Equal Weighting,” examined whether equally weighted portfolios could be enhanced by avoiding negative exposure to some of the most prominent factor anomalies documented in asset pricing literature.
This paper aims to analyze financial literacy in the United States, utilizing the most recent data from the National Financial Capability Study (NFCS) collected in 2021 by the Financial Industry Regulatory Authority (FINRA) Investor Education Foundation. The paper focuses on the importance of financial literacy, particularly in the context of the economic conditions in the US, such as the COVID-19 pandemic, inflation, and changes in the financial system.
The risk-based explanation provided by a peer-based review is a necessary ingredient for considering investment, but it is not a sufficient ingredient.
We examine the research around the question of what the proper framework for building a defensive factor strategy is.
Crowded equity positions in anomalies remain and have significant impacts in terms of risk and return dynamics.
This article seeks to examine what research says about the interplay between risk tolerance, financial literacy, and trust and their collective impact on the pursuit of financial advice by Black and Hispanic households.
The world is complex and ever-changing; news travels at warp speed, events happen fast, and popular narratives can distract and mislead us. Many risks important for our portfolios are new, hidden, or nuanced in some underappreciated way—and likely to be misunderstood and mispriced in the markets. Other risks can hide in plain sight. Good risk management can be described as a balancing act that employs the first principles of investing, lessons from history, behavioral psychology, a little math, and even our imagination in service of our objective: to detect and defend against the risks we can foresee and fortify our portfolios against those we cannot. In short: we need informed creativity, not calculation.
The empirical research findings demonstrate that the return premium generated by being long low-distress risk stocks and short high-distress risk stocks is persistent and that the capital asset pricing model (CAPM) and the Fama-French three-factor models cannot explain it. Hence, we have the distress puzzle, or anomaly.
For many benchmark predictor variables, short-horizon return predictability in the U.S. stock market is local in time as short periods with significant predictability (“pockets”) are interspersed with long periods with no return predictability.
Can machine-learning methods be used to predict the performance of active mutual funds, specifically in terms of alpha net of all costs? Answer: yes.
The timing of equity factor premiums has a strong allure for investors because academic research has found that factor premiums are both time-varying and dependent on the economic cycle.
Hence, the major research question examined here is: What is the impact of industrial pollution on market pricing? Short answer: polluters have earned higher returns.
The article discusses the importance of integrating psychology into the field of financial planning and highlights the need to understand and address the psychological aspects of financial decision-making and client relationships.
Ignoring the impact of taxes on the returns of taxable accounts is one of the biggest mistakes that can be made.
As pundits wrestle over the cause, implications, and sustainability of the recent massive moves in interest rates, I’ll instead delve into the two terms most often blamed for these shifts in rates: R-star and the Term Structure Premium. Unfortunately, what most want—a measure of them—is unknowable. But we can benefit from understanding the theories and models behind these terms. We can glean guidance on what we need, namely a better understanding of the risks and rewards of buying longer-maturing bonds at current rate levels. I contend that now is a good time to secure future cash flows by buying bonds, although determining the precise amount to invest remains a challenge.
Momentum investors utilize different timeframes to identify high momentum equities: past 6, 9, 12 months as an example. Obviously, there is a significant degree of overlap in momentum stocks identified across various past time frames. However, there has been little research focused on understanding the characteristics of momentum stocks formed on six and 12 months that overlap one another. The authors refer to the subset as “overlapping” stocks and suggest they constitute the largest proportion of the profitability of the momentum strategy.
Covered calls implemented to deliver higher derivative income should be expected to have (1) lower total returns, (2) higher tax realizations along the path, and (3) a more negatively skewed return profile. Investors who allocate to these strategies for their income alone, without accounting for these other considerations, might have made a devil’s bargain
The article introduces a concept called "impact elasticity," which measures how a firm's environmental impact changes in response to shifts in its cost of capital (the "E" in "ESG"). It finds that the dominant sustainable investing strategy, which favors green firms and punishes brown firms by altering their cost of capital, can be counterproductive.
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