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Google search intensity and its relationship with returns and trading volume of Japanese stocks

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  • Takeda, Fumiko
  • Wakao, Takumi

Abstract

This study examines the relationship between online search intensity and stock-trading behavior in the Japanese market. The search intensity is measured by the search volume of company names on Google. Our sample consists of 189 Japanese stocks searched between 2008 and 2011. We find correlations with search intensity that are strongly positive for trading volume and weakly positive for stock returns. Our results are consistent with the notion that the increase in search activity is associated with increases in trading activity, but the probability that this increase in trading raises stock prices is not high.

Suggested Citation

  • Takeda, Fumiko & Wakao, Takumi, 2014. "Google search intensity and its relationship with returns and trading volume of Japanese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 1-18.
  • Handle: RePEc:eee:pacfin:v:27:y:2014:i:c:p:1-18
    DOI: 10.1016/j.pacfin.2014.01.003
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    1. Amir Rubin & Eran Rubin, 2010. "Informed Investors and the Internet," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 841-865, July.
    2. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    3. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    4. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    5. Amir Rubin & Eran Rubin, 2010. "Informed Investors and the Internet," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7-8), pages 841-865.
    6. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    7. Fumiko Takeda & Hiroaki Yamazaki, 2006. "Stock Price Reactions to Public TV Programs on Listed Japanese Companies," Economics Bulletin, AccessEcon, vol. 13(7), pages 1-7.
    8. repec:ebl:ecbull:v:13:y:2006:i:7:p:1-7 is not listed on IDEAS
    9. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    10. Joseph, Kissan & Babajide Wintoki, M. & Zhang, Zelin, 2011. "Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1116-1127, October.
    11. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    12. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    13. Frank Fehle & Sergey Tsyplakov & Vladimir Zdorovtsov, 2005. "Can Companies Influence Investor Behaviour through Advertising? Super Bowl Commercials and Stock Returns," European Financial Management, European Financial Management Association, vol. 11(5), pages 625-647, November.
    14. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    15. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    16. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    17. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    18. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    19. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar, 1998. "Alternative factor specifications, security characteristics, and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 49(3), pages 345-373, September.
    20. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
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    More about this item

    Keywords

    Investor sentiment; Attention: stock price; Trading volume; Behavioral finance;
    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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