Reading the WSJ May Make You a Better Economist
By Elisabetta Basilico, PhD, CFA|October 7th, 2024|Elisabetta Basilico, Research Insights, Academic Research Insight, Other Insights, Behavioral Finance|
How can textual analysis of business news, specifically The Wall Street Journal (WSJ), be used to measure the state of the economy?
The Hidden Cost of Index Replication
By Larry Swedroe|October 4th, 2024|Transaction Costs, Research Insights, Larry Swedroe, Other Insights|
An index-tracking approach generally lacks flexibility, which detracts from performance, leaving returns on the table. Intelligent design can overcome such issues. For example, an S&P 500 Index could choose to rebalance one month ahead of the scheduled reconstitution, minimizing the impact of reconstitution. Direct index funds are already engaging in such strategies with ETFs.
DIY Trend-Following Allocations: October 2024
By Ryan Kirlin|October 1st, 2024|Index Updates, Research Insights, Tool Updates, Tactical Asset Allocation Research|
Current Exposures: Full exposure to domestic equities. Full exposure to international equities. Full exposure to REITs. No exposure to commodities. Full exposure to intermediate-term bonds.
Analysts set price targets using trailing P/E ratios
By Tommi Johnsen, PhD|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.
Can Skewness Identify Future Outperforming Mutual Funds
By Larry Swedroe|September 27th, 2024|Skewness, Research Insights, Larry Swedroe, Factor Investing, 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.
We’ll be at the Astoria Macro Summit – October 29th
By Wesley Gray, PhD|September 24th, 2024|Conferences, Investor Education|
John and his team have assembled a stellar cast of characters for their inaugural Astoria Macro Summit at the Nasdaq Exchange in NYC on October 29, 2024. At a minimum, you'll see me moderate a panel with 200lb brains Cullen Roche, Corey Hoffstein, Ben Lavine, and Pankaj Patel!
The Economics of Private Equity
By Elisabetta Basilico, PhD, CFA|September 23rd, 2024|Elisabetta Basilico, Crypto, Private Equity, 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.
Data-driven Approach to Clustering Similar Macroeconomic Regimes
By Larry Swedroe|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.
Trend-Following Filters – Part 8
By Henry Stern|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.
Investors trade Cryptos and Trad-Fi Differently
By Elisabetta Basilico, PhD, CFA|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.