Academic Finance Research and Insights

Analysts set price targets using trailing P/E ratios

By |September 30th, 2024|Tommi Johnsen, Research Insights, Academic Research Insight, Behavioral Finance, Value Investing Research, Active and Passive Investing|

Trailing twelve-month P/E ratios account for 91% of the variation in analysts’ price targets. We construct a new kind of asset-pricing model around this fact and show that it explains the market response to earnings surprises.

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Can Skewness Identify Future Outperforming Mutual Funds

By |September 27th, 2024|Skewness, Larry Swedroe, Factor Investing, Research Insights, Other Insights|

While the skewness metric did demonstrate that it could select funds with managers skilled a security selection, the fund’s expenses and implementation meant that the fund was just about able to cover its expenses, and that was before the negative impact of active management on after-tax returns—and the finding was not statistically significant at even the 10% level of confidence.

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The Economics of Private Equity

By |September 23rd, 2024|Elisabetta Basilico, Private Equity, Crypto, Research Insights, Academic Research Insight, Other Insights|

The paper examines key factors that influence the performance and success of private equity investments. Specifically, it focuses on the importance of manager selection, the role of LP sophistication and skill, the relationship between fund size and performance, the potential misalignment of incentives between GPs and LPs, and the benefits and risks associated with co-investment opportunities.

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Data-driven Approach to Clustering Similar Macroeconomic Regimes

By |September 20th, 2024|Research Insights, Macroeconomics Research|

Knowing what economic regime we might be in won’t provide you with the crystal ball allowing you to foresee what geopolitical events will drive markets, whether “black swans” will appear, or identify whatever unexpected events or government policy actions will drive markets.

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Trend-Following Filters – Part 8

By |September 17th, 2024|Empirical Methods, Research Insights, Trend Following, Guest Posts|

This article describes digital filters derived from time series regression models that can be used as technical analysis tools. The filters are analyzed from a digital signal processing (DSP) frequency domain perspective to illustrate their properties. Example charts of the filters applied to the S&P 500 index are also included.

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Investors trade Cryptos and Trad-Fi Differently

By |September 9th, 2024|Elisabetta Basilico, Crypto, Research Insights, Academic Research Insight, Other Insights, Behavioral Finance|

Retail traders are contrarian in stocks and gold, yet the same traders follow a momentum-like strategy in cryptocurrencies. The differences are not explained by individual characteristics, investor composition, inattention, differences in fees, or preference for lottery-like assets. We conjecture that retail investors have a model where cryptocurrency price changes affect the likelihood of future widespread adoption, which leads them to further update their price expectations in the same direction.

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Adding Leveraged, Long-Short Factor Strategies to Improve Tax Alpha

By |September 6th, 2024|Larry Swedroe, Research Insights, Other Insights, Tax Efficient Investing|

Joseph Liberman, Stanley Krasner, Nathan Sosner, and Pedro Freitas, authors of the September 2023 study “Beyond Direct Indexing: Dynamic Direct Long-Short Investing,” examined if the utilization of leverage and long-short strategies motivated by the literature on factor-based investing could improve on the tax benefits of direct indexing and tax-loss harvesting.

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Exploring Bond Tax Efficiency: Futures or Bond ETFs?

By |September 5th, 2024|Research Insights|

Bond futures are often assumed to be more tax-efficient than bond ETFs. My analysis indicates that this assumption is frequently incorrect.  Although investors might view the 60/40 tax treatment of futures as advantageous, a futures strategy faces several challenges compared to a bond ETF, including frequent taxable events, potential tax drag from cash collateral, and additional state taxation. My analysis suggests that, between July 2002 and July 2024, the bond ETF wins under a variety of realistic assumptions. However, bond futures may be compelling for high-tax investors, especially if they can find a tax-efficient cash solution. There is no universally “tax-efficient” instrument between bond futures and bond ETFs; rather, tax efficiency is defined by the investor’s particular circumstances.

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