How to define macroeconomic announcement surprises? An example of the impact of US macroeconomic news on stock prices on the Warsaw Stock Exchange
Tomasz Wojtowicz ()
Additional contact information
Tomasz Wojtowicz: IU International University of Applied Science
Managerial Economics, 2022, vol. 23, issue 1, 77-98
Abstract:
The definition of a news surprise plays a crucial role in the analysis of the impact of unexpected macroeconomic news announcements. In this paper, we study the properties of the most commonly used measure of news surprise, defined as the difference between the announced and expected value of the indicator. Due to the high vulnerability of this measure to outliers, we consider alternative definitions of macroeconomic surprises. Based on the analysis of announcements of 15 American macroeconomic indicators, we show that taking into account the heterogeneity of analysts’ forecasts or the variability of the previous surprises, noticeably improves the properties of the distribution of surprise measures. An additional study performed with the use of a dynamic model proves a strong linear relationship between surprise measures and WIG20 returns in the first five minutes after news announcements.
Keywords: unexpected news; macroeconomic announcements; intraday data; Warsaw Stock Exchange (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.agh.edu.pl/manage/article/view/5218/2856 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:agh:journl:v:23:y:2022:i:1:p:77-98
Access Statistics for this article
Managerial Economics is currently edited by Henryk Gurgul
More articles in Managerial Economics from AGH University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Lukasz Lach ().