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GENERAL & APPLIED ECONOMICS

Can google search volume index predict the returns and trading volumes of stocks in a retail investor dominant market

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Article: 2014640 | Received 25 Aug 2021, Accepted 24 Nov 2021, Published online: 29 Dec 2021

References

  • Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–18. https://doi.org/10.1093/rfs/hhm079
  • Ben-Rephael, A., Da, Z., & Israelsen, R. D. (2017). It depends on where you search: Institutional investor attention and underreaction to news. Review of Financial Studies, 30(9), 3009–3047. https://doi.org/10.1093/rfs/hhx031
  • Chang, T. P. (2021). Buy low and sell high: The 52‐week price range and predictability of returns. International Review of Finance, 21(1), 336–344. https://doi.org/10.1111/irfi.12263
  • Chen, Z., Schmidt, A., & Wang, J. (2021). Retail investor risk-seeking, attention, and the January effect. Journal of Behavioral and Experimental Finance, 30, 100511. https://doi.org/10.1016/j.jbef.2021.100511
  • Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance, 66(5), 1461–1499. https://doi.org/10.1111/j.1540-6261.2011.01679.x
  • Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS investor sentiment and asset prices. Review of Financial Studies, 28(1), 1–32. https://doi.org/10.1093/rfs/hhu072
  • Desagre, C., & D’Hondt, C. (2021). Googlization and retail trading activity. Journal of Behavioral and Experimental Finance, 29, 100453. https://doi.org/10.1016/j.jbef.2020.100453
  • Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22. https://doi.org/10.1016/j.jfineco.2014.10.010
  • Gao, Y., Wang, Y., Wang, C., & Liu, C. (2018). Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market. Physica A: Statistical Mechanics and Its Applications, 510, 802–811. https://doi.org/10.1016/j.physa.2018.07.016
  • Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine. Nature, 457(7232), 1012–1014. https://doi.org/10.1038/nature07634
  • Goel, S., Hofman, J. M., Lahaie, S., Pennock, D. M., & Watts, D. J. (2010). Predicting consumer behavior with web search. PNAS, 107(41), 17486–17490. https://doi.org/10.1073/pnas.1005962107
  • Huang, T. L., Chen, M. L., Kuo, H. J., & Lai, K. L. (2016). How do web search activity and financial media coverage affect asset pricing? Journal of Financial Studies, 24(1), 25–53. https://doi.org/10.6545/JFS.2016.24(1).2
  • Li, Y. L., Tu, Y. C., & Wang, W. H. (2017). Google search volume index and its effects on stock return and trading volume of Taiwan stock market. Journal of Management and Systems, 24(4), 565–590. https://doi.org/10.29416/JMS.201710_24(4).0004
  • Padungsaksawasdi, C., & Treepongkaruna, S. (2021). Chasing for information during the COVID-19 panic: The role of google search on global stock market. Cogent Economics & Finance, 9(1), 1930669. https://doi.org/10.1080/23322039.2021.1930669
  • Preis, T., Moat, H. S., & Stanley, H. E. (2013). Quantifying trading behavior in financial markets using google trends. Scientific Reports, 3(1), 1684. https://doi.org/10.1038/srep01684
  • Rizkiana, A., Sari, H., Hardjomidjojo, P., & Prihartono, B. (2019). The development of composite sentiment index in Indonesia based on the internet-available data. Cogent Economics & Finance, 7(1), 1669399. https://doi.org/10.1080/23322039.2019.1669399
  • Sifat, I. M., & Thaker, H. M. T. (2020). Predictive power of web search behavior in five ASEAN stock markets. Research in International Business and Finance, 52, 101191. https://doi.org/10.1016/j.ribaf.2020.101191
  • Takeda, F., & Wakao, T. (2014). Google search intensity and its relationship with returns and trading volume of Japanese stocks. Pacific-Basin Finance Journal, 27, 1–18. https://doi.org/10.1016/j.pacfin.2014.01.003