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Long memory of price-volume correlation in metal futures market based on fractal features 被引量:2
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作者 程慧 黄健柏 +1 位作者 郭尧琦 朱学红 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2013年第10期3145-3152,共8页
An empirical test on long memory between price and trading volume of China metals futures market was given with MF-DCCA method. The empirical results show that long memory feature with a certain period exists in price... An empirical test on long memory between price and trading volume of China metals futures market was given with MF-DCCA method. The empirical results show that long memory feature with a certain period exists in price-volume correlation and a fittther proof was given by analyzing the source of multifractal feature. The empirical results suggest that it is of important practical significance to bring the fractal market theory and other nonlinear theory into the analysis and explanation of the behavior in metal futures market. 展开更多
关键词 metal futures price-volume correlation long memory MF-DCCA method MULTIFRACTAL fractal features multifractalspectrum
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