A Comparative Study of VAR Measure Using Different Frequency Data of China’s Fuel Oil Futures Market

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Abstract:

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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Advanced Materials Research (Volumes 361-363)

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1887-1891

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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