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How does public information affect the frequency of trading in airline stocks?

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  • Nowak, Sylwia
  • Anderson, Heather M.

Abstract

This paper examines how firm specific and macroeconomic announcements affect transaction rates in U.S. airline stocks. Using a version of the autoregressive conditional hazard framework of Hamilton and Jordà (2002) that incorporates market microstructure variables, we show that on average, trading intensity spikes prior and consequent to macroeconomic announcements, but decreases around firm-specific releases. Further, when we use intraday crude oil futures returns as a proxy for industry relevant and globally important news we find that their effects are statistically significant, with higher oil futures returns increasing the probability of trade.

Suggested Citation

  • Nowak, Sylwia & Anderson, Heather M., 2014. "How does public information affect the frequency of trading in airline stocks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 26-38.
    • Handle: RePEc:eee:jbfina:v:44:y:2014:i:c:p:26-38
    DOI: 10.1016/j.jbankfin.2014.03.033
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    1. Zorio-Grima, Ana & Merello, Paloma, 2020. "Consumer confidence: Causality links with subjective and objective information sources," Technological Forecasting and Social Change, Elsevier, vol. 150(C).

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    More about this item

    Keywords

    Trading frequency; Hazard models; Announcements effect;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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