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来源类型Working Paper
规范类型报告
DOI10.3386/w25016
来源IDWorking Paper 25016
Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises
Refet S. Gürkaynak; Burçin Kısacıkoğlu; Jonathan H. Wright
发表日期2018-09-10
出版年2018
语种英语
摘要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.
主题Macroeconomics ; Money and Interest Rates ; Monetary Policy ; Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets
URLhttps://www.nber.org/papers/w25016
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582690
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Refet S. Gürkaynak,Burçin Kısacıkoğlu,Jonathan H. Wright. Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises. 2018.
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