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Internet search intensity, liquidity and returns in emerging markets

Author

Listed:
  • Nguyen, Cuong
  • Hoang, Lai
  • Shim, Jungwook
  • Truong, Phuong

Abstract

Using a sample of listed companies in the Vietnam stock market from 2013 to 2018, this paper investigates the linkage between Internet search intenseness and stock returns and trading volume. The empirical results confirm the “price pressure hypothesis” that search intensity is positively associated with subsequent stock returns and trading volume. It also finds that the positive effects on stock returns are not temporary but remain for the long term although some reversals occur. The results show that the effects of search intensity on stock returns are higher for large stocks than for small stocks. The findings also reveal that stocks that attract more attention from the public are exposed to higher market risk. These findings have not been documented in the literature so they enrich the information on the relationship between Internet search intenseness and stock market returns, especially for emerging markets where Internet user numbers are sharply increasing.

Suggested Citation

  • Nguyen, Cuong & Hoang, Lai & Shim, Jungwook & Truong, Phuong, 2020. "Internet search intensity, liquidity and returns in emerging markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:riibaf:v:52:y:2020:i:c:s0275531919306130
    DOI: 10.1016/j.ribaf.2019.101166
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    as
    1. Atiase, Rk, 1985. "Predisclosure Information, Firm Capitalization, And Security Price Behavior Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 21-36.
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Truong Dong Loc & Ger Lanjouw & Robert Lensink, 2010. "Stock-market efficiency in thin-trading markets: the case of the Vietnamese stock market," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3519-3532.
    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. 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.
    6. 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.
    7. repec:ebl:ecbull:v:13:y:2006:i:7:p:1-7 is not listed on IDEAS
    8. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    9. Aabo, Tom & Pantzalis, Christos & Park, Jung Chul, 2017. "Idiosyncratic volatility: An indicator of noise trading?," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 136-151.
    10. 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.
    11. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    12. 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.
    13. Dong Lou, 2014. "Attracting Investor Attention through Advertising," Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1797-1829.
    14. Kuangnan Fang & Ji Wu & Cuong Nguyen, 2017. "The Risk-Return Trade-Off in a Liberalized Emerging Stock Market: Evidence from Vietnam," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(4), pages 746-763, April.
    15. 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.
    16. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
    17. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    18. Rosati, Pierangelo & Deeney, Peter & Cummins, Mark & van der Werff, Lisa & Lynn, Theo, 2019. "Social media and stock price reaction to data breach announcements: Evidence from US listed companies," Research in International Business and Finance, Elsevier, vol. 47(C), pages 458-469.
    19. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    20. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    21. 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.
    22. Adachi, Yuta & Masuda, Motoki & Takeda, Fumiko, 2017. "Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 243-257.
    23. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    24. Lai Trung Hoang & Trang Thu Phan, 2019. "Is Liquidity Priced in the Vietnamese Stock Market?," Economic Papers, The Economic Society of Australia, vol. 38(3), pages 193-207, September.
    25. 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.
    26. 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.
    27. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    28. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    29. Vo, Xuan Vinh & Truong, Quang Binh, 2018. "Does momentum work? Evidence from Vietnam stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 10-15.
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    Cited by:

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    3. Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022. "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
    4. repec:thr:techub:10024:y:2021:i:1:p:302-316 is not listed on IDEAS

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    More about this item

    Keywords

    Search intensity; Returns; Liquidity; Emerging markets; Vietnam;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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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