scholarly journals An empirical analysis of the price discovery function of Shanghai fuel oil futures market

2007 ◽  
Vol 4 (3) ◽  
pp. 97-102 ◽  
Author(s):  
Zhen Wang ◽  
Zhenhai Liu ◽  
Chao Chen
2011 ◽  
Vol 361-363 ◽  
pp. 1887-1891
Author(s):  
Feng Wang

By using datas of Chinese fuel oil futures market, this pater establishes VAR model based on low frequency, high frequency and ultra-high frequency data, to measure the value at risk, and compares the prediction accuracy of different frequency. The research results show that the high frequency and ultra-high frequency data have better accuracy in the VAR measuring, as they contain more intraday information and can reflect the futures market microstructure better.


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