Does the All‐Star Award Affect Chinese Analysts' Performance? Evidence From a Regression Discontinuity Design and the Field

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Authors: Congcong Li, Shaokun Li, Hai Lu
Cited by: 1
References: 60

Abstract

ABSTRACT This paper examines the effect of the All‐Star award on the performance of Chinese financial analysts. Leveraging unique voting data from 2007 to 2016 and a regression discontinuity design (RDD), we find that the All‐Star award significantly enhances recipients' fundamental analysis. Awarded analysts issue more accurate earnings forecasts, and their stock recommendations convey greater information content for firms with higher information asymmetry. RDD results also indicate that award recipients gain increased resources and greater flexibility in reallocating time and effort. Post award, analysts concentrate on fewer industries, cover more firms within each industry, issue forecasts more frequently, expand their teams, and conduct more site visits. Surveys of analysts and institutional investors corroborate these findings, highlighting increases in site visits and roadshows following the award. Overall, the results suggest that the All‐Star award boosts analyst performance by fostering more concentrated coverage and improving access to both internal and external resources.

Fields of Study & Subjects

Auditing Earnings Management Governance Accounting Education and Careers Financial Markets and Investment Strategies

Publication details

Journal / source
Contemporary Accounting Research
Publisher
Wiley
Volume
43
Issue
2
Pages
607–631
Publication date
25 February 2026
Language
EN