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Financial attention and the demand for information

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  • Qadan, Mahmoud
  • Zoua’bi, Maher

Abstract

This study tracks the daily traffic on the leading financial websites in the US, and uses the attention paid to these websites as a proxy for retailers’ aggregate demand for information. We determine that attention to financial websites is positively correlated with uncertainty and negatively associated with investor sentiment. Furthermore, market shocks drive attention to financial websites, and heightened attention predicts an increase in the following trading day's volatility. Consistent with the information arrival hypothesis, the search for information is higher on Mondays and Tuesdays and lower on weekends. As some retail investors are noise traders, attention to financial websites has a positive effect on volatility and increases trading volume. Finally, using 5-min intraday data, we construct a daily-implied risk aversion proxy and provide evidence supporting the theoretical contention that risk-averse agents gather information as a hedge against uncertainty. However, our findings do not support the avoidance of information theories.

Suggested Citation

  • Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
  • Handle: RePEc:eee:soceco:v:82:y:2019:i:c:s2214804319300874
    DOI: 10.1016/j.socec.2019.101450
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    Cited by:

    1. Levent Bulut, 2018. "Google Trends and the forecasting performance of exchange rate models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(3), pages 303-315, April.
    2. Reiter-Gavish, Liron & Qadan, Mahmoud & Yagil, Joseph, 2021. "Financial advice: Who Exactly Follows It?," Research in Economics, Elsevier, vol. 75(3), pages 244-258.

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    More about this item

    Keywords

    Attention; Demand for information; Google; Investor sentiment; Noise traders; Retail investors; Search engines; Volatility risk premium;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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