Advanced Search
MyIDEAS: Login to save this paper or follow this series

Investor attention and stock market activity: Evidence from France

Contents:

Author Info

  • Amal Aouadi
  • Mohamed Arouri
  • Frédéric Teulon

Abstract

The aim of this paper is to study the influence of investor attention on the French stock market activity and volatility. Following an original way, we construct a non-standard proxy of investor attention on the basis of investors' online search behavior exclusively provided by “Google insights for search”. We find that Google search volume is a reliable proxy of investor attention. Interestingly, we show that investor attention is strongly correlated to trading volume and is a significant determinant of the stock market illiquidity and volatility. Most importantly, this evidence is maintained even after controlling for the financial crisis effect.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.ipag.fr/wp-content/uploads/recherche/WP/IPAG_WP_2014_405.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Department of Research, Ipag Business School in its series Working Papers with number 2014-405.

as in new window
Length: 11 pages
Date of creation: 27 Jun 2014
Date of revision:
Handle: RePEc:ipg:wpaper:2014-405

Contact details of provider:
Postal: 184 Boulevard Saint-Germain, 75006 Paris
Phone: 33 1 53 63 36 00
Web page: http://www.ipag.fr
More information through EDIRC

Related research

Keywords: Google search volume; Information asymmetry; Stock illiquidity; Volatility;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Jordi Mondria & Climent Quintana Domeque, 2012. "Financial contagion and attention allocation," Working Papers. Serie AD 2012-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  2. Dimpfl, Thomas & Jank, Stephan, 2011. "Can internet search queries help to predict stock market volatility?," CFR Working Papers 11-15, University of Cologne, Centre for Financial Research (CFR).
  3. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
  4. Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2014. "Investor Following and Volatility: A GARCH Approach," Working Papers 2014-286, Department of Research, Ipag Business School.
  5. Kerry Cooper, S. & Groth, John C. & Avera, William E., 1985. "Liquidity, exchange listing, and common stock performance," Journal of Economics and Business, Elsevier, vol. 37(1), pages 19-33, February.
  6. repec:ipg:wpaper:24 is not listed on IDEAS
  7. Peng, Lin, 2005. "Learning with Information Capacity Constraints," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(02), pages 307-329, June.
  8. Jordi Mondria & Thomas Wu & Yi Zhang, 2008. "The Determinants of International Investment and Attention Allocation: Using Internet Search Query Data," Working Papers tecipa-326, University of Toronto, Department of Economics.
  9. 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.
  10. Aslı Aşçıoğlu & Carole Comerton-Forde & Thomas H. McInish, 2007. "Price Clustering on the Tokyo Stock Exchange," The Financial Review, Eastern Finance Association, vol. 42(2), pages 289-301, 05.
  11. Simon Gervais, 2001. "The High-Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, 06.
  12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  13. Lin Peng & Wei Xiong, 2005. "Investor Attention: Overconfidence and Category Learning," NBER Working Papers 11400, National Bureau of Economic Research, Inc.
  14. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  15. 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.
  16. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
  17. Sofía B. Ramos & Helena Veiga & Pedro Latoeiro, 2013. "Predictability of stock market activity using Google search queries," Statistics and Econometrics Working Papers ws130605, Universidad Carlos III, Departamento de Estadística y Econometría.
  18. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
  19. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
  20. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, 04.
  21. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  22. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, 02.
  23. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, 09.
  24. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
  25. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  26. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
  27. Mohamed Arouri & Amal Aouadi & Philippe Foulquier & Frédéric Teulon, 2013. "Can Information Demand Help to Predict Stock Market Liquidity ? Google it !," Working Papers 2013-024, Department of Research, Ipag Business School.
  28. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
  29. Florackis, Chris & Gregoriou, Andros & Kostakis, Alexandros, 2011. "Trading frequency and asset pricing on the London Stock Exchange: Evidence from a new price impact ratio," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3335-3350.
  30. 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, vol. 25(3), pages 239-264, September.
  31. 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.
  32. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, 06.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Amal Aouadi & Mohamed Arouri & Frédéric Teulon, 2014. "Investor Following and Volatility: A GARCH Approach," Working Papers 2014-286, Department of Research, Ipag Business School.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ipg:wpaper:2014-405. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ingmar Schumacher).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.