Information Acquisition and Expected Returns: Evidence from EDGAR Search Traffic

56 Pages Posted: 11 Sep 2017 Last revised: 11 Apr 2022

See all articles by Frank Weikai Li

Frank Weikai Li

Singapore Management University - Lee Kong Chian School of Business

Chengzhu (Lisa) Sun

The Hong Kong Polytechnic University

Date Written: August 8, 2018

Abstract

Using a novel dataset containing investors' access of company filings through the SEC's EDGAR system, we show that the abnormal number of IPs searching for firms' financial statements strongly predicts future stock returns and firm fundamentals. A long-short portfolio based on our measure of information acquisition activity generates a monthly abnormal return of 80 basis points that is not reversed in the long run. Consistent with theories of endogenous information acquisition, the return predictability is more pronounced for firms with larger and lengthier financial filings that are more costly to process, and for IPs searching current and historical filings simultaneously. Our findings suggest investors' costly information acquisition activities reveal their private expectation of firm value.

Keywords: Endogenous Information Acquisition, EDGAR Search, SEC Filings

JEL Classification: G12, G14

Suggested Citation

Li, Frank Weikai and Sun, Chengzhu (Lisa), Information Acquisition and Expected Returns: Evidence from EDGAR Search Traffic (August 8, 2018). Asian Finance Association (AsianFA) 2018 Conference, Journal of Economic Dynamics and Control, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3031977 or http://dx.doi.org/10.2139/ssrn.3031977

Frank Weikai Li (Contact Author)

Singapore Management University - Lee Kong Chian School of Business ( email )

469 Bukit Timah Road
Singapore 912409
Singapore

Chengzhu (Lisa) Sun

The Hong Kong Polytechnic University ( email )

M849, 8/F Li Ka Shing Tower
Hung Hom
Kowloon, 999999
Hong Kong

HOME PAGE: http://https://af.polyu.edu.hk/people/academic-staff/dr-chengzhu-sun/

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