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How news affect the trading behavior of different categories of investors in a financial market


  • Fabrizio Lillo
  • Salvatore Miccich`e
  • Michele Tumminello
  • Jyrki Piilo
  • Rosario Nunzio Mantegna


We investigate the trading behavior of a large set of single investors trading the highly liquid Nokia stock over the period 2003-2008 with the aim of determining the relative role of endogenous and exogenous factors that may affect their behavior. As endogenous factors we consider returns and volatility, whereas the exogenous factors we use are the total daily number of news and a semantic variable based on a sentiment analysis of news. Linear regression and partial correlation analysis of data show that different categories of investors are differently correlated to these factors. Governmental and non profit organizations are weakly sensitive to news and returns or volatility, and, typically, they are more correlated with the former than with the latter. Households and companies, on the contrary, are very sensitive to both endogenous and exogenous factors, and volatility and returns are, on average, much more relevant than the number of news and sentiment, respectively. Finally, financial institutions and foreign organizations are intermediate between these two cases, in terms of both the total explanatory power of these factors and their relative importance.

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  • Fabrizio Lillo & Salvatore Miccich`e & Michele Tumminello & Jyrki Piilo & Rosario Nunzio Mantegna, 2012. "How news affect the trading behavior of different categories of investors in a financial market," Papers 1207.3300,
  • Handle: RePEc:arx:papers:1207.3300

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    References listed on IDEAS

    1. Mitchell, Mark L & Mulherin, J Harold, 1994. " The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    2. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    3. 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.
    4. Ederington, Louis H & Lee, Jae Ha, 1993. " How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    5. Vega, Clara, 2006. "Stock price reaction to public and private information," Journal of Financial Economics, Elsevier, vol. 82(1), pages 103-133, October.
    6. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    7. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    8. David Hirshleifer & James N. Myers & Linda A. Myers & Siew Hong Teoh, 2004. "Do Individual Investors Drive Post-Earnings Announcement Drift? Direct Evidence from Personal Trades," Finance 0412003, EconWPA.
    9. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    10. David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," Working papers 487, Massachusetts Institute of Technology (MIT), Department of Economics.
    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.
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    Cited by:

    1. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840,
    2. Th'arsis Tuani Pinto Souza & Olga Kolchyna & Philip C. Treleaven & Tomaso Aste, 2015. "Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry," Papers 1507.00784,, revised Jul 2015.
    3. Chuang, Hongwei, 2016. "Brokers’ financial network and stock return," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 172-183.
    4. Milla Siikanen & Kestutis Baltakys & Hannu Karkkainen & Jari Jussila & Ravi Vatrapu & Raghava Mukkamala & Abid Hussain & Juho Kanniainen, 2017. "How Facebook drives investor behavior," Papers 1709.07300,, revised Feb 2018.
    5. Sindhuja Ranganathan & Mikko Kivela & Juho Kanniainen, 2017. "Dynamics of Investor Spanning Trees Around Dot-Com Bubble," Papers 1708.04430,
    6. repec:eee:phsmap:v:497:y:2018:i:c:p:41-51 is not listed on IDEAS
    7. Federico Musciotto & Luca Marotta & Salvatore Miccich`e & Jyrki Piilo & Rosario N. Mantegna, 2015. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Papers 1511.06873,

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