Predictive power of timely measured attention on stock returns: 21st century evidence from the U.S.

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School of Business | Bachelor's thesis
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Date

2020

Major/Subject

Mcode

Degree programme

Rahoitus

Language

en

Pages

21+5

Series

Abstract

In this paper, I examine Google search frequency (Search Volume Index (SVI)) of S&P 1500 -index stocks in relation to raw stock returns in the U.S. between the years 2004 and 2018. I cross-sectionally regress stock returns on abnormal search frequency, also controlling the market capitalization and industry, in order to study price predictive effect. In line with existing literature, my results suggest a significant positive increase in returns in a week after abnormally high search frequency. Accordingly to the price pressure hypothesis of Barber and Odean (2008), this increase is then reversed in the following two weeks. In an attempt to make a contribution to the existing literature, I examine the price pressure effect between different industries. My results are unable to prove significant differences in this effect between industries.

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Thesis advisor

Ungeheuer, Michael

Keywords

Investor attention, Returns, Price pressure, Google

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