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Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises

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  • Refet S. Gürkaynak
  • Burçin Kısacıkoğlu
  • Jonathan H. Wright

Abstract

Macroeconomic news announcements are elaborate and multi-dimensional. We consider a framework in which jumps in asset prices around macroeconomic news and monetary policy announcements reflect both the response to observed surprises in headline numbers and latent factors, reflecting other details of the release. The details of the non headline news, for which there are no expectations surveys, are unobservable to the econometrician, but nonetheless elicit a market response. We estimate the model by the Kalman filter, which essentially combines OLS- and heteroskedasticity-based event study estimators in one step, showing that those methods are better thought of as complements rather than substitutes. The inclusion of a single latent factor greatly improves our ability to explain asset price movements around announcements.

Suggested Citation

  • Refet S. Gürkaynak & Burçin Kısacıkoğlu & Jonathan H. Wright, 2018. "Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises," NBER Working Papers 25016, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25016
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    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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