Jin, Chuqing (2024) Does competition between experts improve Information quality: evidence from the security analyst market. TSE Working Paper, n. 24-1553, Toulouse

[thumbnail of wp_tse_1553.pdf]
Preview
Text
Download (683kB) | Preview

Abstract

This paper studies how competition affects the quality of information provided by security analysts. Security analysts compete to make earnings forecasts and are rewarded for being more accurate than their peers. This leads them to distort their forecasts to differentiate but also disciplines them against reporting over-optimistic forecasts. I structurally estimate a contest model capturing both effects and simulate counterfactual policies changing analysts’ incentives. I find the disciplinary effect dominates: rewarding relative accuracy reduces analysts’ forecast errors, but at the cost of increasing forecast noise. It is optimal to have moderate analyst competition, balancing more aggregate information against intensified distortions.

Item Type: Monograph (Working Paper)
Language: English
Date: July 2024
Place of Publication: Toulouse
Uncontrolled Keywords: forecasting contest, security analyst, competition
JEL Classification: D80 - General
G20 - General
L10 - General
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse Capitole
Site: UT1
Date Deposited: 12 Jul 2024 11:11
Last Modified: 12 Jul 2024 11:15
OAI Identifier: oai:tse-fr.eu:129580
URI: https://publications.ut-capitole.fr/id/eprint/49559
View Item

Downloads

Downloads per month over past year