Investigating proxies for retail investor attention in financial markets

Abstract Investor attention influences financial markets but “depends on where you search” (Ben‐Rephael et al., The Review of Financial Studies , 2017, 30, 3009). We explore various retail investor attention proxies and their correlations with company characteristics and market reactions. Individually, retail attention proxies have a similar positive association with post‐earnings cumulative abnormal returns; however collectively, only abnormal Twitter (now X) attention remains significant after accounting for other retail attention metrics. Simultaneously high abnormal attention in all proxies captures a subsample that exhibits a post‐earnings announcement drift, contradicting the hypothesis that higher investor attention attenuates such drifts. Using vector autoregression, we find Twitter attention leads other retail attention proxies.

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Publication Details

Journal
Accounting and Finance
Published
2024-09-21
DOI
https://doi.org/10.1111/acfi.13338
Citations
3
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
1.62

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article

Investigating proxies for retail investor attention in financial markets

Zhangxin Frank Liu, Lee A. Smales, Daniel Cahill
3 citations
Accounting and Finance
Financial Markets and Investment Strategies
1.62
article

Investigating proxies for retail investor attention in financial markets

Zhangxin Frank Liu, Lee A. Smales, Daniel Cahill
article en
3 citations

Abstract

Abstract Investor attention influences financial markets but “depends on where you search” (Ben‐Rephael et al., The Review of Financial Studies , 2017, 30, 3009). We explore various retail investor attention proxies and their correlations with company characteristics and market reactions. Individually, retail attention proxies have a similar positive association with post‐earnings cumulative abnormal returns; however collectively, only abnormal Twitter (now X) attention remains significant after accounting for other retail attention metrics. Simultaneously high abnormal attention in all proxies captures a subsample that exhibits a post‐earnings announcement drift, contradicting the hypothesis that higher investor attention attenuates such drifts. Using vector autoregression, we find Twitter attention leads other retail attention proxies.

Accounting and FinanceVol. 65(1)
The University of Western Australia (AU)
Australian Government, Accounting and Finance Association of Australia and New Zealand
Decent work and economic growth
Openalex Percentile: Top 15%
Financial Markets and Investment Strategies
1.62
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