Active Technological Similarity and Mutual Fund Performance

B-Tier
Journal: Journal of Financial and Quantitative Analysis
Year: 2022
Volume: 57
Issue: 5
Pages: 1862-1884

Authors (4)

McLemore, Ping (not in RePEc) Sias, Richard (not in RePEc) Wan, Chi (University of Massachusetts-Bo...) Yüksel, H. Zafer (not in RePEc)

Score contribution per author:

0.505 = (α=2.02 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We examine whether superior understanding of technological innovation is a source of mutual fund managers’ ability to garner positive abnormal returns. Consistent with our hypothesis, the inter-quintile annual net Carhart alpha spread for mutual funds sorted on changes in the technological similarity (TS) of their portfolio holdings is 282 basis points. Moreover, because changes in TS are largely orthogonal to other predictors of mutual fund success (e.g., industry concentration, active share, fund R 2, and lag fund alpha), changes in TS can be combined with other measures to help identify the best performing funds.

Technical Details

RePEc Handle
repec:cup:jfinqa:v:57:y:2022:i:5:p:1862-1884_7
Journal Field
Finance
Author Count
4
Added to Database
2026-01-29