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Information acquisition and expected returns: Evidence from EDGAR search traffic

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  • Li, Frank Weikai
  • Sun, Chengzhu

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.

Suggested Citation

  • Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
  • Handle: RePEc:eee:dyncon:v:141:y:2022:i:c:s0165188922000884
    DOI: 10.1016/j.jedc.2022.104384
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    More about this item

    Keywords

    Endogenous information acquisition; EDGAR search; SEC filings;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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