DocumentCode :
3050030
Title :
Analysis of stock market information — a new financial engineering approach
Author :
Yao, Feng ; Ying, Yirong ; Zhang, Lingwen
Author_Institution :
Fac. of Econ., Kagawa Univ., Takamatsu, Japan
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
430
Lastpage :
435
Abstract :
In this paper we introduce a new financial engineering approach to the investigation of information flow between two world stock markets. We apply the one-way effect causal measure approach presented by Yao and Hosoya (2000) and Yao (2007) to the analysis of systematic information transmission between stock markets of China, the US and Japan. In view of a high technical time series modeling, we see that both of the information flows from New York stock market and Tokyo stock market to Shanghai stock market are strong and short-run. The reverse, the information flow from Shanghai stock market to New York stock market and also to Tokyo stock market are statistically existed but comparatively weak and very steady. The one-way effect approach is found to be successfully revealed transmission of stock market information.
Keywords :
economic indicators; stock markets; time series; China; Japan; New York stock market; Shanghai stock market; Tokyo stock market; US; financial engineering; high technical time series modeling; information flow; one-way effect causal measure approach; stock market information analysis; systematic information transmission analysis; Automation; Conference management; Educational institutions; Frequency domain analysis; Information analysis; International trade; Stock markets; Testing; Time measurement; Time series analysis; Financial Engineering; Granger´s non-causality; Information Flow; Modeling Technique; Stock Market Information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512374
Filename :
5512374
Link To Document :
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