Research Insights

Do Trading Costs Destroy Factor Investing?

There are a number of recent studies that propose a more rigorous criteria for evaluating the practical significance of factors published in academic research journals. [...]

(Fight) the Fed Model

Over the past few years, we've been asked questions related to the relationship between stock prices and interest rates. Forms of the question typically look like [...]

The Capacity of Smart Beta Funds — Larger than Previously Thought?

ETFs and factor investing are on the tip of everyone's tongue these days. Factor investing is being couched as a "new" thing, despite the fact that institutional investors have been deploying these strategies for years. (See this working paper discussing the effective use of smart beta strategies by institutional investors.) However, because factor investing is now directly accessible via ETFs, those who are unfamiliar with factor investing are asking questions about how these "new" funds will affect the market. Two burning questions many investors have: What is the overall capacity of smart beta funds? What is the capacity of momentum-based funds, specifically?

Tactical Asset Allocation and the US 60/40 Benchmark

Our firm Allocate Smartly provides independent analysis of Tactical Asset Allocation (TAA) strategies. TAA strategies dynamically allocate to broad asset classes like stock indices, bond indices or gold. Unlike [...]

Swedroe Spotlight: Does Market Sentiment Help Explain Momentum?

David Smith, Na Wang, Ying Wang and Edward Zychowicz contribute to the literature on momentum with their paper, “Sentiment and the Effectiveness of Technical Analysis: Evidence from the Hedge Fund Industry,” which was published in the December 2016 issue of the Journal of Financial and Quantitative Analysis. Their work examines how investor sentiment affects the effectiveness of technical analysis strategies (which include the use of moving averages as well as momentum) used by hedge funds (which are considered sophisticated investors). The study was motivated by prior research that has focused on “investor sentiment,” which is the propensity of individuals to trade on noise and emotions rather than facts. Sentiment causes investors to have beliefs about future cash flows and investment risks that aren’t justified. Two researchers, Malcolm Baker and Jeffrey Wurgler, constructed an investor sentiment index based on six measures: trading volume as measured by NYSE turnover; the dividend premium (the difference between the average market-to-book ratio of dividend-payers and non-payers); the closed-end fund discount; the number and first-day returns of IPOs; and the equity share in new issues. Data is available at through Wurgler and New York University.

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