Informativeness of trades around macroeconomic announcements in the foreign exchange market

Zhen Xing Wu, Yin Feng Gau

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)


We study the extent to which private information is revealed through trades in the foreign exchange market. The trade informativeness measured from the VAR framework of trades and quotes allows us to quantify the impact of asymmetric information on return variation. We find the intraday variation in the proportion of permanent price variation driven by trade-related information has a repetitive periodic pattern, and trades in the overlapping trading hours of London and New York carry most information than the other time segments. The results show the fraction of trade-related component to exchange rate variation positively relates to trading volume and reversely relates to effective spread. With a comprehensive set of 48 real-time US, European, and Japanese macroeconomic news surprises variables, and controlling for the effect of trading volume, spread, and volatility, we find news of production-related economic indicator, e.g., GDP and industrial production, has a positive relationship with the trade informativeness in a trading period, suggesting the increased private information share may be attributed to heterogeneous interpretations of the announcement among market participants. Announcement-related information is gradually resolved into the price, and the information is transited via the channel of trading activities.

期刊Journal of International Financial Markets, Institutions and Money
出版狀態已出版 - 5月 2022


深入研究「Informativeness of trades around macroeconomic announcements in the foreign exchange market」主題。共同形成了獨特的指紋。