Publication Type
Working Paper
Version
publishedVersion
Publication Date
3-2004
Abstract
This paper explores institutional investor trades in stocks grouped by style and the relationship of these trades with equity market returns. It aggregates transactions drawn from a large universe of approximately $6 trillion of institutional funds. To analyze style behavior, we assign equities to deciles in each of five style dimensions: size, value/growth, cyclical/defensive, sector, and country. We find, first, strong evidence that investors organize and trade stocks across style-driven lines. This appears true for groupings both strongly and weakly related to fundamentals (e.g., industry orcountry groupings versus size or value/growth deciles). Second, the positive linkage between flows and returns emerges at daily frequencies, yet becomes even more important at lower frequencies.We show that quarterly decile flows and returns are even more strongly positively correlated than are daily flows and returns. However, as the horizon increases beyond a year, we find that the flow/return correlation declines. Third, style flows and returns are important components of individual stock expected returns. We find that nearby style inflows and returns positively forecast future returns while distant style inflows and returns forecast negatively. Fourth, we find strong correlations between style flows and temporary components of return. This suggests that behavioral theories may play a role in explaining the popularity and price impact of flow-related trading
Discipline
Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Finance
Volume
10355
First Page
1
Last Page
49
Publisher
NBER Working Paper No. 10355
City or Country
Cambridge, MA
Embargo Period
4-22-2019
Citation
FROOT, Kenneth A. and TEO, Melvyn.
Equity Style Returns and Institutional Investor Flows. (2004). 10355, 1-49.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6210
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://www.nber.org/papers/w10355.pdf
Comments
Published in Journal of Financial and Quantitative Analysis, 2008 December, 43, 4, 883-906. https://doi.org/10.1017/S0022109000014381