The Effect of Google's Local Biases on Information Asymmetry and Market Response

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Ebrahimi Mohammad; Hesarzadeh Reza; Moradi Mahdi

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF FINANCIAL ACCOUNTING KNOWLEDGE Year:2022 | Volume:9 | Issue:2 Page(s): 193-213

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Title

The Effect of Google's Local Biases on Information Asymmetry and Market Response

Author(s)

Ebrahimi Mohammad | Hesarzadeh Reza | Moradi Mahdi | Issue Writer Certificate

Keywords

Familiarity BiasQ4

Local BiasQ4

Information asymmetryQ4

Local Information AdvantageQ4

Market ResponseQ4

Abstract

Purpose: This study examines the effect of Google's local search on Information asymmetry before earnings announcement and short-term and long-term market reactions after earnings announcement. Method: Google's Local Biases are measured by Google Trend service information. Also, to measure Information asymmetry and Market Response, abnormal stock returns in the periods before and after the announcement of earnings are used. The research sample includes 64 companies listed on the Tehran Stock Exchange for the years 1393 to 1398. Results: The results of the study indicate that Local Bias increases the Information asymmetry before the announcement of profits. However, the impact of Local Bias on Market Response is limited to a short period after the announcement of profits. Conclusion: Overall, the evidence suggests that Local Biases resulting from investors' attention to companies close to their place of residence affect information asymmetries and short-term Market Response. Contribution: This study shows for the first time that even in the age of the Internet and the ease of access to information of companies, the geographical location of companies influences the decisions of Iranian investors and the stock market.

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