This paper analyzes the impact of economic news, that is, the difference between economic announcements and what was anticipated, on financial markets. The three contributions of this paper are, first, the market expectation is derived from economic derivative prices that allow a full distribution for the market expectation to be derived. Economic derivatives data better predict financial market movements and also allow for testing whether there is information in the high moments of the distribution. Second, high frequency financial data allows us to test for the optimal window and discover how long it takes financial markets to digest and react to news. Finally, by using a U.S. and a European economic announcement and a wide range of financial markets, this paper compares announcements to show which are important for which markets. I find that high frequency financial data leads to a much bigger and more significant news announcement effect over previous studies that used end-of day data. Further, financial markets react very quickly to news. Unlike other studies that have assumed a 25-30 minute window, I have demonstrated that the announcement window is often as little as just one minute. Using the richness of the economic derivatives-based expectations data I determine when higher moments of the expectations distribution are useful in determining the announcement effect. I also show in which markets, and for which announcements, good news and bad news have asymmetric effects; and, in which markets are most responsive to which announcements. Finally, I have highlighted some of the interesting results that traders or risk managers might want to delve into in more detail.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
2675.
Find related papers by JEL classification: G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
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