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The Information Environment, Informed Trading, and Volatility

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  • Natividad Blasco
  • Pilar Corredor

Abstract

The relation between informed trading and volatility is analyzed using the change in the proportion of informed transactions calculated through the probability of informed trading variable. The analysis relates to the Spanish market during 1997–2010, given that the Spanish market covers a very diverse range of listed companies. Some companies are comparable to companies listed on U.S. markets while others are smaller in size and have a lower trading volume and inferior quality of information. The methodology is based on a modification of the model proposed by Avramov, Chordia, and Goyal [2006]. The authors’ proposal incorporates the change in the proportion of informed transactions, calculated with intraday data, into the volatility model. The results are also presented using a conditional volatility model in which the change in the proportion of informed transactions is incorporated. These results attest to the influence of informed trading as a price-stabilizing factor in heavily traded and highly capitalized stocks (familiar stocks). Informed trading leads to a marked decrease in volatility for these particular stocks both in periods of calm and crisis.

Suggested Citation

  • Natividad Blasco & Pilar Corredor, 2017. "The Information Environment, Informed Trading, and Volatility," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(2), pages 202-218, April.
    • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:2:p:202-218
    DOI: 10.1080/15427560.2017.1308943
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    Cited by:

    1. Dionne, Georges & Zhou, Xiaozhou, 2019. "Information Environments and High Price Impact Trades: Implication for Volatility and Price Efficiency," Working Papers 19-3, HEC Montreal, Canada Research Chair in Risk Management, revised 04 Nov 2019.
    2. Mona Mortazian, 2022. "Liquidity and Volatility of Stocks Moved from the Main Market to the Alternative Investment Market (AIM)," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 195-220, June.

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