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Exploratory Study on the Behavior of the Brazilian Financial Market Using Google Trends

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Proceedings of IDEAS 2019 (IDEAS 2018)

Abstract

Search engines changed the way people find relevant information on the internet. We suggest that investors utilize these internet tools during their investment decision process and that the datasets generated by search engines are related to stock market movements. The purpose of this study is to analyze the relationship between this social phenomenon and moves on the Brazilian stock market. Following previous studies, we analyze the correlation between the Google query volumes for terms related to a specific index of the Brazilian stock market (Ibovespa) and stock market metrics (Open, Closing, High and Low prices). Our results presented a positive correlation between the investors’ attention, represented by the Google search volumes, and the market prices. These results suggest that the Google Trends data are more positively correlated to the highs of the financial data, suggesting that investors tend to search more on the web when the market is reaching its peak or vice versa. This article highlights the potential that this source of information has on the understanding of the Brazilian stock market.

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References

  1. Shim, S., Eastlick, M.A., Lotz, S.L., Warrington, P.: An online prepurchase intentions model. J. Retail. 77, 397–416 (2001)

    Article  Google Scholar 

  2. Simon, H.A.: A behavioral model of rational choice. Q. J. Econ. 69, 99 (1955)

    Article  Google Scholar 

  3. Lieberam-Schmidt, S.: Analyzing and Influencing Search Engine Results Business and Technology Impacts on Web Information Retrieval. Gabler (2010)

    Google Scholar 

  4. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., Brilliant, L.: Detecting influenza epidemics using search engine query data. Nature 457, 1012–1014 (2009)

    Article  Google Scholar 

  5. Ettredge, M., Gerdes, J., Karuga, G.: Using web-based search data to predict macroeconomic statistics. Commun. ACM 48, 87–92 (2005)

    Article  Google Scholar 

  6. Wu, L., Brynjolfsson, E.: The future of prediction: how Google searches foreshadow housing prices and sales. SSRN Electron. J. (2009)

    Google Scholar 

  7. Da, Z., Engelberg, J., Gao, P.: In search of attention. J. Finance 66, 1461–1499 (2011)

    Article  Google Scholar 

  8. Preis, T., Moat, H.S., Stanley, H.E.: Quantifying trading behavior in financial markets using Google Trends. Sci. Rep. 3, 1684 (2013)

    Article  Google Scholar 

  9. Curme, C., Preis, T., Stanley, H.E., Moat, H.S.: Quantifying the semantics of search behavior before stock market moves. Proc. Natl. Acad. Sci. 111, 11600–11605 (2014)

    Article  Google Scholar 

  10. Ramos, H.P., Ribeiro, K.K.M., Perlin, M.S.: The forecasting power of internet search queries in the Brazilian financial market. RAM. Revista de Administração Mackenzie 18, 184–210 (2017)

    Article  Google Scholar 

  11. Bordino, I., Battiston, S., Caldarelli, G., Cristelli, M., Ukkonen, A., Weber, I.: Web search queries can predict stock market volumes. PLoS ONE 7, e40014 (2012)

    Article  Google Scholar 

  12. Andrezo, A.F., Lima, I.S.: Mercado financeiro aspectos conceituais e históricos. Atlas (2007)

    Google Scholar 

  13. Fortuna, E.: Mercado Financeiro: Produtos e serviços. Qualitymark (2013)

    Google Scholar 

  14. Dados de mercado. http://www.bmfbovespa.com.br/pt_br/servicos/market-data/consultas/dados-de-mercado/

  15. Ibovespa | B3. http://www.b3.com.br/pt_br/market-data-e-indices/indices/indices-amplos/ibovespa.htm

  16. Fama, E.F.: Efficient capital markets: a review of theory and empirical work. J. Finance 25, 383 (1970)

    Article  Google Scholar 

  17. Shleifer, A.: Inefficient Markets: An Introduction to Behavioral Finance. Oxford University Press, Oxford (2000)

    Book  Google Scholar 

  18. Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47, 263 (1979)

    Article  MathSciNet  Google Scholar 

  19. Grinblatt, M., Keloharju, M.: What makes investors trade? J. Finance 56, 589–616 (2001)

    Article  Google Scholar 

  20. Bouchaud, J.-P.: The (unfortunate) complexity of the economy. Phys. World 22, 28–32 (2009)

    Article  Google Scholar 

  21. Gil, A.C.: Métodos e técnicas de pesquisa social. Atlas (2014)

    Google Scholar 

  22. Trends Help. https://support.google.com/trends#topic=6248052

  23. Search Engine Market Share Brazil. http://gs.statcounter.com/search-engine-market-share/all/brazil#quarterly-200901-201702

  24. Elder, A.: Como se transformar em um operador e investidor de sucesso: Entenda a psicologia do mercado financeiro, técnicas poderosas de negociação, gestão lucrativa de investimentos. Elsevier Brasil (2004)

    Google Scholar 

  25. Moore, D.S., Pessoa, C.F.C., Carneiro, P.D.G.: A estatística básica e sua prática: D.S. Moore. Livros Técnicos e Científicos (2005)

    Google Scholar 

  26. Rao, T., Srivastava, S.: Modeling movements in oil, gold, forex and market indices using search volume index and Twitter sentiments. In: Proceedings of the 5th Annual ACM Web Science Conference on - WebSci 2013 (2013)

    Google Scholar 

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Correspondence to Fernando Gonçalves de Castro Filho .

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de Castro Filho, F.G., da Costa Dias, J.E., de Andrade, A.A., Facó, J.F.B. (2021). Exploratory Study on the Behavior of the Brazilian Financial Market Using Google Trends. In: Pereira, L., Carvalho, J., Krus, P., Klofsten, M., De Negri, V. (eds) Proceedings of IDEAS 2019. IDEAS 2018. Smart Innovation, Systems and Technologies, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-030-55374-6_18

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  • DOI: https://doi.org/10.1007/978-3-030-55374-6_18

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