Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Managerial Activeness and Mutual Fund Performance

Managerial Activeness and Mutual Fund Performance A closet indexer is more likely to meet a value-weighted investment benchmark by value weighting the portfolio. Following this intuition, we introduce a simple measure of active management, the absolute difference between the value weights and actual weights held by a fund, summed across its holdings. This proxy captures managerial skill: active funds outperform passive ones by 2.5 annually. Compared with known measures of skill, our proxy robustly predicts fund flows, asset growth, factor-adjusted performance, and value added. Its predictive ability is orthogonal to that of other measures and is robust to controlling for volatility timing, past performance, and style. (JEL G10, G12, G14, G20, G23) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Review of Asset Pricing Studies Oxford University Press

Managerial Activeness and Mutual Fund Performance

Loading next page...
 
/lp/oxford-university-press/managerial-activeness-and-mutual-fund-performance-0lgvyBMK5c

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Oxford University Press
Copyright
The Author 2015. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oup.com
ISSN
2045-9920
eISSN
2045-9939
DOI
10.1093/rapstu/rav005
Publisher site
See Article on Publisher Site

Abstract

A closet indexer is more likely to meet a value-weighted investment benchmark by value weighting the portfolio. Following this intuition, we introduce a simple measure of active management, the absolute difference between the value weights and actual weights held by a fund, summed across its holdings. This proxy captures managerial skill: active funds outperform passive ones by 2.5 annually. Compared with known measures of skill, our proxy robustly predicts fund flows, asset growth, factor-adjusted performance, and value added. Its predictive ability is orthogonal to that of other measures and is robust to controlling for volatility timing, past performance, and style. (JEL G10, G12, G14, G20, G23)

Journal

The Review of Asset Pricing StudiesOxford University Press

Published: Dec 2, 2015

There are no references for this article.