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Information demand and stock market volatility

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  • Vlastakis, Nikolaos
  • Markellos, Raphael N.

Abstract

We study information demand and supply at the firm and market level using data for 30 of the largest stocks traded on NYSE and NASDAQ. Demand is approximated in a novel manner from weekly internet search volume time series drawn from the recently released Google Trends database. Our paper makes contributions in four main directions. First, although information demand and supply tend to be positively correlated, their dynamic interactions do not allow conclusive inferences about the information discovery process. Second, demand for information at the market level is significantly positively related to historical and implied measures of volatility and to trading volume, even after controlling for market return and information supply. Third, information demand increases significantly during periods of higher returns. Fourth, analysis of the expected variance risk premium confirms for the first time empirically the hypothesis that investors demand more information as their level of risk aversion increases.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 36 (2012)
Issue (Month): 6 ()
Pages: 1808-1821

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Handle: RePEc:eee:jbfina:v:36:y:2012:i:6:p:1808-1821

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Related research

Keywords: Information demand; Financial markets; Volatility; Risk aversion;

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Citations

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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.
  2. Fuhito Kojima & Parag A. Pathak & Alvin E. Roth, 2010. "Matching with Couples: Stability and Incentives in Large Markets," NBER Working Papers 16028, National Bureau of Economic Research, Inc.
  3. 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.
  4. 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.
  5. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2013. "Tweets, Google trends and sovereign spreads in the GIIPS," LSE Research Online Documents on Economics 54405, London School of Economics and Political Science, LSE Library.
  6. Torsten Schmidt & Simeon Vosen, 2012. "Using Internet Data to Account for Special Events in Economic Forecasting," Ruhr Economic Papers 0382, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  7. 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.
  8. Melissa S. Kearney & Phillip B. Levine, 2014. "Media Influences on Social Outcomes: The Impact of MTV’s 16 and Pregnant on Teen Childbearing," NBER Working Papers 19795, National Bureau of Economic Research, Inc.
  9. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
  10. Matija Pi\v{s}korec & Nino Antulov-Fantulin & Petra Kralj Novak & Igor Mozeti\v{c} & Miha Gr\v{c}ar & Irena Vodenska & Tomislav \v{S}muc, 2014. "News Cohesiveness: an Indicator of Systemic Risk in Financial Markets," Papers 1402.3483, arXiv.org.
  11. repec:ipg:wpaper:24 is not listed on IDEAS
  12. 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.
  13. Chouliaras, Andreas & Grammatikos, Theoharry, 2013. "News Flow, Web Attention and Extreme Returns in the European Financial Crisis," MPRA Paper 51335, University Library of Munich, Germany.
  14. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2012. "Information Demand and Agriculture Commodity Prices," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144973, International European Forum on Innovation and System Dynamics in Food Networks.

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