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The impact of macroeconomic news on quote adjustments, noise, and informational volatility

  • Hautsch, Nikolaus
  • Hess, Dieter E.
  • Veredas, David

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ('efficient return') factor and two market-side-specific components capturing market microstructure effects. The corresponding variance components reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and are positively influenced by news. The proportion of noise-induced variances is highest before announcements and significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow imbalances.

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Paper provided by Center for Financial Studies (CFS) in its series CFS Working Paper Series with number 2010/01.

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Date of creation: 2010
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Handle: RePEc:zbw:cfswop:201001
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