Testing Disagreement Models

A-Tier
Journal: Journal of Finance
Year: 2022
Volume: 77
Issue: 4
Pages: 2239-2285

Authors (4)

YEN‐CHENG CHANG (not in RePEc) PEI‐JIE HSIAO (not in RePEc) ALEXANDER LJUNGQVIST (Stockholm School of Economics) KEVIN TSENG (not in RePEc)

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 provide plausibly identified evidence for the role of investor disagreement in asset pricing. Our natural experiment exploits the staggered implementation of the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, which induces a reduction in investor disagreement. Consistent with models of investor disagreement, EDGAR inclusion helps resolve disagreement around information events, leading to stock price corrections. The reduction in disagreement following EDGAR inclusion also reduces stock price crash risk, especially among stocks with binding short‐sale constraints and high investor optimism.

Technical Details

RePEc Handle
repec:bla:jfinan:v:77:y:2022:i:4:p:2239-2285
Journal Field
Finance
Author Count
4
Added to Database
2026-01-25