Factor Investing

Portfolio Allocations using Enterprise Multiples (and others)

A common question asked in the factor investing field is the following -- "how much of the model's performance is driven by sector allocations, and how much is driven by security selection?" Our answer is to simply buy Value stocks or Momentum stocks, regardless of sector constraints. Why? Well a nice anecdote (but not data) is that investing in "cheap" technology stocks was not a great idea in the internet bubble crash.

The Global Value Momentum Trend Philosophy

Our Global Value Momentum Trend Index ("GVMT" or "GVMT Index") is a globally diversified equity strategy that leverages trend-following to manage tail-risks. The strategy can [...]

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. [...]

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?

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.

Go to Top