What Moves Stock Prices? The Roles of News, Noise, and Information

A-Tier
Journal: The Review of Financial Studies
Year: 2022
Volume: 35
Issue: 9
Pages: 4341-4386

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

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

Abstract

We develop a return variance decomposition model to distinguish the roles of different types of information and noise in stock price movements. We disentangle four components: noise, private firm-specific information revealed through trading, firm-specific information revealed through public sources and market-wide information. Overall, we find that 31$\%$ of the return variance is from noise, 24$\%$ from private firm-specific information, 37$\%$ from public firm-specific information and 8$\%$ from market-wide information. Since the mid-1990s, there has been a dramatic decline in noise and an increase in firm-specific information, consistent with increasing market efficiency.The Internet Appendix that accompanies this paper can be obtained here: https://bit.ly/3FcV9UR

Technical Details

RePEc Handle
repec:oup:rfinst:v:35:y:2022:i:9:p:4341-4386.
Journal Field
Finance
Author Count
4
Added to Database
2026-01-25