scholarly journals Macro News and Commodity Returns

2016 ◽  
Vol 22 (1) ◽  
pp. 68-80 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Fabio Spagnolo ◽  
Nicola Spagnolo
Keyword(s):  

Author(s):  
Guglielmo Maria Caporale ◽  
Fabio Spagnolo ◽  
Nicola Spagnolo
Keyword(s):  




2010 ◽  
Vol 13 (04) ◽  
pp. 607-620 ◽  
Author(s):  
Yaw-Huei Wang ◽  
Yu-Jen Hsiao

Based upon the theory of the "arrival of news", the main purpose of this paper is to investigate the impact of non-trading periods on the measurement of volatility for the S&P 500, FTSE 100, and TAIEX indices. Using an adaptation of the GJR (1,1) model, we find that both weekday holiday periods and half-day trading periods have significant impacts on the estimation of volatility for the S&P 500 and FTSE 100 indices. On the other hand, weekends have significant impacts for the TAIEX index. Our findings imply that for the UK and US markets, much less relevant information is produced during weekends, while more relevant information continues to be produced during other types of non-trading periods. However, the weekend volatility of the Taiwan market is specially driven because the US macro news is announced on Fridays and the trading time of the US market is later than that of the Taiwan market without any overlapping.



2016 ◽  
Vol 45 ◽  
pp. 180-188 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Fabio Spagnolo ◽  
Nicola Spagnolo
Keyword(s):  




2019 ◽  
Vol 56 (8) ◽  
pp. 1817-1842
Author(s):  
Zhitao Lin ◽  
Ruolan Ouyang ◽  
Xuan Zhang


2017 ◽  
Vol 24 (2) ◽  
pp. 114-134 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Fabio Spagnolo ◽  
Nicola Spagnolo


2008 ◽  
Vol 88 (1) ◽  
pp. 26-50 ◽  
Author(s):  
Martin D.D. Evans ◽  
Richard K. Lyons
Keyword(s):  


2016 ◽  
Vol 33 (1) ◽  
pp. 50-68 ◽  
Author(s):  
Guangfeng Zhang ◽  
Ian Marsh ◽  
Ronald MacDonald

Purpose – This study aims to investigate the impact of information, both public macro news and private information, on exchange rate volatility in an integrated framework. Design/methodology/approach – The authors apply real-time data of macro announcements and high-frequency trading data (German Deutsche Mark to US dollar, DEM/USD, from 1 May to 31August 1996) to GARCH models and examine various model specifications. Findings – Data analysis demonstrates real-time macro news and market makers’ private information both have a significant impact on exchange rate volatility, but there is no interaction between macro and micro information in the information transmission process. Originality/value – This study contributes to empirical hybrid studies of examining exchange rates volatility, which is in line with literature that combine both macro and micro fundamentals in examining exchange rates variation. Particularly, a key element of this study is to use a microstructure fundamental variable, namely, order flow, to capture private information in an exchange rate volatility study.



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