Evidence map›Paper›PMID 36119390›Full record

ArticleFinance research letters2022

COVID-19 pandemic, limited attention, and analyst forecast dispersion.

Jinjin Zhang, Jinyu Wu, Yalin Luo, Ziyan Huang, Ruzhen He

Abstract read
In one paragraph

Article in Finance research letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jinjin ZhangBusiness School, Zhengzhou University of Aeronautics, China.
Jinyu WuGuangzhou Xinhua University, China.
Yalin LuoThe Wang Yanan Institute for Studies in Economics, Xiamen University, China.
Ziyan HuangSchool of Economics, Fudan University, China.
Ruzhen HeXiamen National Accounting Institute, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the effect of the COVID-19 pandemic on analysts' forecast dispersion. We find that analysts' exposure to the COVID-19 lockdown reduces the dispersion of their forecasts. Along with the forecast dispersion, the number of earnings forecasts issued by treated analysts decreases, supporting the channel of attention distraction. Moreover, there is no significant difference between optimistic and pessimistic forecasts, against the explanation of risk attitude change. We find our conclusion is robust to a staggered DID model and numerous robustness tests. Our finding contributes to the dispute regarding the pandemic's effect on analyst forecast behavior.

Indexed as

Analysts’ forecast dispersionCOVID-19 pandemicLimited attention

Identifiers

PMID36119390
PMCPMC9465493

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.