Daily Academic Alpha: Momentum Investing
Momentum in firm fundamentals, i.e., earnings momentum, explains the performance of strategies based on price momentum. Earnings surprise measures subsume past performance in cross sectional regressions of returns on firm characteristics, and the time-series performance of price momentum strategies is fully explained by their covariances with earnings momentum strategies. Controlling for earnings surprises when constructing price momentum strategies significantly reduces their performance, without reducing their high volatilities. Controlling for past performance when constructing earnings momentum strategies reduces their volatilities, and eliminates the crashes strongly associated with momentum of all types, without reducing the strategies’ high average returns. While past performance does not have independent power predicting the cross section of expected returns, it does predicts stock comovements, and is thus important for explain cross sectional variation in realized returns
We find strong evidence linking the momentum pattern in equity returns with a prominent measure of macroeconomic conditions, specifically the funding environment. We show that the size and consistency of the momentum premium varies systematically across funding states. Furthermore, we find evidence that the relationship between momentum returns and firm characteristics (documented in previous research) is conditional on the funding environment. After controlling for the funding state, we find that the importance of market states and return dispersion disappears. Additionally, funding conditions appear to contain incremental information about the momentum premium even after adjusting for the influence of market states and return dispersion. Overall our results are consistent with the conjecture that transitions in the funding environment encourage investors to revise their portfolio allocations; this reallocation produces inter-temporal variation in the momentum return pattern.
We provide supporting evidence for the momentum life cycle hypothesis proposed by Lee and Swaminathan (2000) around the world. The early-stage strategy that longs low-turnover winner stocks and shorts high-turnover loser stocks significantly outperform both the late-stage strategy that longs high-turnover winners and shorts low-turnover losers and the conventional strategy in most countries. The results are robust and the economic magnitudes are large. The early-stage strategy even delivers positive momentum profits beyond the one-year horizon. Cross-country analysis shows that momentum profits are positively associated with individualism for the late-stage and conventional strategies but not for the early-stage strategy. In contrast, the association between momentum profits and limits-to-arbitrage is positive for the early-stage but negative for the late-stage strategy. Our results appear to support the behavioral momentum model of Daniel, Hirshleifer, and Subrahmanyam (1998) and the arbitrageurs’ mispricing amplifying role of Stein (2009).
Note: This site provides NO information on our value investing ETFs or our momentum investing ETFs. Please refer to this site.
Join thousands of other readers and subscribe to our blog.
Please remember that past performance is not an indicator of future results. Please read our full disclosures. The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. This material has been provided to you solely for information and educational purposes and does not constitute an offer or solicitation of an offer or any advice or recommendation to purchase any securities or other financial instruments and may not be construed as such. The factual information set forth herein has been obtained or derived from sources believed by the author and Alpha Architect to be reliable but it is not necessarily all-inclusive and is not guaranteed as to its accuracy and is not to be regarded as a representation or warranty, express or implied, as to the information’s accuracy or completeness, nor should the attached information serve as the basis of any investment decision. No part of this material may be reproduced in any form, or referred to in any other publication, without express written permission from Alpha Architect.
Definitions of common statistics used in our analysis are available here (towards the bottom)